| 1/2-Approximate MMS Allocation for Separable Piecewise Linear Concave Valuations |
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1 |
| 3D Visibility-Aware Generalizable Neural Radiance Fields for Interacting Hands |
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4 |
| 3D-STMN: Dependency-Driven Superpoint-Text Matching Network for End-to-End 3D Referring Expression Segmentation |
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4 |
| A Brain-Inspired Way of Reducing the Network Complexity via Concept-Regularized Coding for Emotion Recognition |
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4 |
| A Bregman Proximal Stochastic Gradient Method with Extrapolation for Nonconvex Nonsmooth Problems |
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6 |
| A Class of Topological Pseudodistances for Fast Comparison of Persistence Diagrams |
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2 |
| A Closer Look at Curriculum Adversarial Training: From an Online Perspective |
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3 |
| A Compiler for Weak Decomposable Negation Normal Form |
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6 |
| A Comprehensive Analysis of the Effectiveness of Large Language Models as Automatic Dialogue Evaluators |
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3 |
| A Comprehensive Augmentation Framework for Anomaly Detection |
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3 |
| A Computation-Aware Shape Loss Function for Point Cloud Completion |
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3 |
| A Convolutional Neural Network Interpretable Framework for Human Ventral Visual Pathway Representation |
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4 |
| A Cross-View Hierarchical Graph Learning Hypernetwork for Skill Demand-Supply Joint Prediction |
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4 |
| A Diffusion Model with State Estimation for Degradation-Blind Inverse Imaging |
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5 |
| A Diffusion-Based Framework for Multi-Class Anomaly Detection |
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3 |
| A Diffusion-Based Pre-training Framework for Crystal Property Prediction |
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3 |
| A Dual Stealthy Backdoor: From Both Spatial and Frequency Perspectives |
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3 |
| A Dual-Way Enhanced Framework from Text Matching Point of View for Multimodal Entity Linking |
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5 |
| A Dynamic GCN with Cross-Representation Distillation for Event-Based Learning |
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3 |
| A Dynamic Learning Method towards Realistic Compositional Zero-Shot Learning |
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3 |
| A Fast Exact Solver with Theoretical Analysis for the Maximum Edge-Weighted Clique Problem |
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6 |
| A Fixed-Parameter Tractable Algorithm for Counting Markov Equivalence Classes with the Same Skeleton |
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0 |
| A Fixed-Point Approach to Unified Prompt-Based Counting |
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3 |
| A General Implicit Framework for Fast NeRF Composition and Rendering |
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3 |
| A General Search-Based Framework for Generating Textual Counterfactual Explanations |
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3 |
| A General Theoretical Framework for Learning Smallest Interpretable Models |
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1 |
| A Generalized Neural Diffusion Framework on Graphs |
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2 |
| A Generalized Shuffle Framework for Privacy Amplification: Strengthening Privacy Guarantees and Enhancing Utility |
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4 |
| A Goal Interaction Graph Planning Framework for Conversational Recommendation |
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5 |
| A Graph Dynamics Prior for Relational Inference |
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3 |
| A Hierarchical Network for Multimodal Document-Level Relation Extraction |
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4 |
| A Hybrid Global-Local Perception Network for Lane Detection |
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3 |
| A Joint Framework with Heterogeneous-Relation-Aware Graph and Multi-Channel Label Enhancing Strategy for Event Causality Extraction |
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3 |
| A Label Disambiguation-Based Multimodal Massive Multiple Instance Learning Approach for Immune Repertoire Classification |
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4 |
| A Learnable Discrete-Prior Fusion Autoencoder with Contrastive Learning for Tabular Data Synthesis |
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2 |
| A Local-Ascending-Global Learning Strategy for Brain-Computer Interface |
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3 |
| A Multi-Modal Contrastive Diffusion Model for Therapeutic Peptide Generation |
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2 |
| A Multimodal, Multi-Task Adapting Framework for Video Action Recognition |
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2 |
| A New Benchmark and Model for Challenging Image Manipulation Detection |
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4 |
| A New Mechanism for Eliminating Implicit Conflict in Graph Contrastive Learning |
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4 |
| A Non-parametric Graph Clustering Framework for Multi-View Data |
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2 |
| A Novel Energy Based Model Mechanism for Multi-Modal Aspect-Based Sentiment Analysis |
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3 |
| A Novel Skip Orthogonal List for Dynamic Optimal Transport Problem |
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5 |
| A Perspective of Q-value Estimation on Offline-to-Online Reinforcement Learning |
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3 |
| A Plug-and-Play Quaternion Message-Passing Module for Molecular Conformation Representation |
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5 |
| A Positive-Unlabeled Metric Learning Framework for Document-Level Relation Extraction with Incomplete Labeling |
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4 |
| A Pre-convolved Representation for Plug-and-Play Neural Illumination Fields |
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3 |
| A Primal-Dual Algorithm for Hybrid Federated Learning |
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3 |
| A Provably Accurate Randomized Sampling Algorithm for Logistic Regression |
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2 |
| A Reinforcement-Learning-Based Multiple-Column Selection Strategy for Column Generation |
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3 |
| A Robust Mutual-Reinforcing Framework for 3D Multi-Modal Medical Image Fusion Based on Visual-Semantic Consistency |
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4 |
| A Score-Based Deterministic Diffusion Algorithm with Smooth Scores for General Distributions |
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3 |
| A Separation and Alignment Framework for Black-Box Domain Adaptation |
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4 |
| A Sequentially Fair Mechanism for Multiple Sensitive Attributes |
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4 |
| A Surprisingly Simple Continuous-Action POMDP Solver: Lazy Cross-Entropy Search Over Policy Trees |
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4 |
| A Theory of Non-acyclic Generative Flow Networks |
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2 |
| A Transfer Approach Using Graph Neural Networks in Deep Reinforcement Learning |
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2 |
| A Twist for Graph Classification: Optimizing Causal Information Flow in Graph Neural Networks |
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4 |
| A Two-Stage Information Extraction Network for Incomplete Multi-View Multi-Label Classification |
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4 |
| A Unified Environmental Network for Pedestrian Trajectory Prediction |
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4 |
| A Unified Knowledge Transfer Network for Generalized Category Discovery |
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3 |
| A Unified Masked Autoencoder with Patchified Skeletons for Motion Synthesis |
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1 |
| A Unified Self-Distillation Framework for Multimodal Sentiment Analysis with Uncertain Missing Modalities |
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4 |
| A Unified View on Forgetting and Strong Equivalence Notions in Answer Set Programming |
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0 |
| A User-Friendly Framework for Generating Model-Preferred Prompts in Text-to-Image Synthesis |
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5 |
| A Variational Autoencoder for Neural Temporal Point Processes with Dynamic Latent Graphs |
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2 |
| AACP: Aesthetics Assessment of Children’s Paintings Based on Self-Supervised Learning |
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2 |
| ACAMDA: Improving Data Efficiency in Reinforcement Learning through Guided Counterfactual Data Augmentation |
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1 |
| ACT: Empowering Decision Transformer with Dynamic Programming via Advantage Conditioning |
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5 |
| ADA-GAD: Anomaly-Denoised Autoencoders for Graph Anomaly Detection |
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2 |
| AE-NeRF: Audio Enhanced Neural Radiance Field for Few Shot Talking Head Synthesis |
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2 |
| AGS: Affordable and Generalizable Substitute Training for Transferable Adversarial Attack |
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4 |
| ALISON: Fast and Effective Stylometric Authorship Obfuscation |
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3 |
| AMD: Anatomical Motion Diffusion with Interpretable Motion Decomposition and Fusion |
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3 |
| AMD: Autoregressive Motion Diffusion |
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4 |
| AMSP-UOD: When Vortex Convolution and Stochastic Perturbation Meet Underwater Object Detection |
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6 |
| ANEDL: Adaptive Negative Evidential Deep Learning for Open-Set Semi-supervised Learning |
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3 |
| AQ-DETR: Low-Bit Quantized Detection Transformer with Auxiliary Queries |
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4 |
| ASWT-SGNN: Adaptive Spectral Wavelet Transform-Based Self-Supervised Graph Neural Network |
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4 |
| AT4CTR: Auxiliary Match Tasks for Enhancing Click-Through Rate Prediction |
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3 |
| AUC Optimization from Multiple Unlabeled Datasets |
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4 |
| AVSegFormer: Audio-Visual Segmentation with Transformer |
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5 |
| Abstract Action Scheduling for Optimal Temporal Planning via OMT |
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5 |
| Abstract and Explore: A Novel Behavioral Metric with Cyclic Dynamics in Reinforcement Learning |
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3 |
| Abstraction of Situation Calculus Concurrent Game Structures |
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0 |
| Accelerate Multi-Agent Reinforcement Learning in Zero-Sum Games with Subgame Curriculum Learning |
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3 |
| Accelerating Cutting-Plane Algorithms via Reinforcement Learning Surrogates |
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2 |
| Accelerating Text-to-Image Editing via Cache-Enabled Sparse Diffusion Inference |
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4 |
| Accelerating the Global Aggregation of Local Explanations |
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6 |
| Active Learning Guided by Efficient Surrogate Learners |
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3 |
| Ada-Retrieval: An Adaptive Multi-Round Retrieval Paradigm for Sequential Recommendations |
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6 |
| AdaCCD: Adaptive Semantic Contrasts Discovery Based Cross Lingual Adaptation for Code Clone Detection |
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3 |
| AdaFormer: Efficient Transformer with Adaptive Token Sparsification for Image Super-resolution |
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4 |
| AdapEdit: Spatio-Temporal Guided Adaptive Editing Algorithm for Text-Based Continuity-Sensitive Image Editing |
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5 |
| AdapterGNN: Parameter-Efficient Fine-Tuning Improves Generalization in GNNs |
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1 |
| Adaptive Anytime Multi-Agent Path Finding Using Bandit-Based Large Neighborhood Search |
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5 |
| Adaptive Discovering and Merging for Incremental Novel Class Discovery |
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3 |
| Adaptive FSS: A Novel Few-Shot Segmentation Framework via Prototype Enhancement |
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4 |
| Adaptive Feature Imputation with Latent Graph for Deep Incomplete Multi-View Clustering |
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3 |
| Adaptive Graph Learning for Multimodal Conversational Emotion Detection |
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5 |
| Adaptive Hardness Negative Sampling for Collaborative Filtering |
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5 |
| Adaptive Integration of Partial Label Learning and Negative Learning for Enhanced Noisy Label Learning |
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4 |
| Adaptive Meta-Learning Probabilistic Inference Framework for Long Sequence Prediction |
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5 |
| Adaptive Prompt Routing for Arbitrary Text Style Transfer with Pre-trained Language Models |
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4 |
| Adaptive Reactive Synthesis for LTL and LTLf Modulo Theories |
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3 |
| Adaptive Shortcut Debiasing for Online Continual Learning |
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6 |
| Adaptive Uncertainty-Based Learning for Text-Based Person Retrieval |
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3 |
| Adv-Diffusion: Imperceptible Adversarial Face Identity Attack via Latent Diffusion Model |
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5 |
| Advancing Spatial Reasoning in Large Language Models: An In-Depth Evaluation and Enhancement Using the StepGame Benchmark |
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4 |
| Advancing Video Synchronization with Fractional Frame Analysis: Introducing a Novel Dataset and Model |
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4 |
| Adversarial Attacks on Federated-Learned Adaptive Bitrate Algorithms |
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3 |
| Adversarial Attacks on the Interpretation of Neuron Activation Maximization |
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3 |
| Adversarial Purification with the Manifold Hypothesis |
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5 |
| Adversarial Robust Safeguard for Evading Deep Facial Manipulation |
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3 |
| Adversarial Socialbots Modeling Based on Structural Information Principles |
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4 |
| Adversarially Balanced Representation for Continuous Treatment Effect Estimation |
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4 |
| AesFA: An Aesthetic Feature-Aware Arbitrary Neural Style Transfer |
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4 |
| Agile Multi-Source-Free Domain Adaptation |
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3 |
| Agile-Quant: Activation-Guided Quantization for Faster Inference of LLMs on the Edge |
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4 |
| Ahpatron: A New Budgeted Online Kernel Learning Machine with Tighter Mistake Bound |
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5 |
| Aleth-NeRF: Illumination Adaptive NeRF with Concealing Field Assumption |
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4 |
| Aligner²: Enhancing Joint Multiple Intent Detection and Slot Filling via Adjustive and Forced Cross-Task Alignment |
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✅ |
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✅ |
✅ |
5 |
| Aligning Geometric Spatial Layout in Cross-View Geo-Localization via Feature Recombination |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| All Beings Are Equal in Open Set Recognition |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| All Should Be Equal in the Eyes of LMs: Counterfactually Aware Fair Text Generation |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Almost Envy-Free Allocations of Indivisible Goods or Chores with Entitlements |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| AltDiffusion: A Multilingual Text-to-Image Diffusion Model |
❌ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| AltNeRF: Learning Robust Neural Radiance Field via Alternating Depth-Pose Optimization |
❌ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
3 |
| Altruism in Facility Location Problems |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Amalgamating Multi-Task Models with Heterogeneous Architectures |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
❌ |
2 |
| Amodal Scene Analysis via Holistic Occlusion Relation Inference and Generative Mask Completion |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| An Approximate Skolem Function Counter |
✅ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
5 |
| An Attentive Inductive Bias for Sequential Recommendation beyond the Self-Attention |
❌ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| An Autoregressive Text-to-Graph Framework for Joint Entity and Relation Extraction |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| An Eager Satisfiability Modulo Theories Solver for Algebraic Datatypes |
✅ |
✅ |
✅ |
❌ |
✅ |
✅ |
✅ |
6 |
| An Effective Augmented Lagrangian Method for Fine-Grained Multi-View Optimization |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
❌ |
2 |
| An Effective Polynomial Technique for Compiling Conditional Effects Away |
✅ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
5 |
| An Efficient Knowledge Transfer Strategy for Spiking Neural Networks from Static to Event Domain |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| An Efficient Subgraph-Inferring Framework for Large-Scale Heterogeneous Graphs |
✅ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
5 |
| An Embedding-Unleashing Video Polyp Segmentation Framework via Region Linking and Scale Alignment |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| An Empirical Study of CLIP for Text-Based Person Search |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| An Exercise in Tournament Design: When Some Matches Must Be Scheduled |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| An Implicit Trust Region Approach to Behavior Regularized Offline Reinforcement Learning |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
4 |
| An Information-Flow Perspective on Algorithmic Fairness |
✅ |
✅ |
❌ |
❌ |
❌ |
❌ |
✅ |
3 |
| An Interpretable Approach to the Solutions of High-Dimensional Partial Differential Equations |
✅ |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
2 |
| An Optimal Transport View for Subspace Clustering and Spectral Clustering |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Analytically Tractable Models for Decision Making under Present Bias |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Analyzing Generalization in Policy Networks: A Case Study with the Double-Integrator System |
❌ |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| Anchoring Path for Inductive Relation Prediction in Knowledge Graphs |
❌ |
✅ |
✅ |
❌ |
✅ |
❌ |
❌ |
3 |
| Angle Robustness Unmanned Aerial Vehicle Navigation in GNSS-Denied Scenarios |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
1 |
| AnomalyDiffusion: Few-Shot Anomaly Image Generation with Diffusion Model |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| AnomalyGPT: Detecting Industrial Anomalies Using Large Vision-Language Models |
❌ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
3 |
| Another Way to the Top: Exploit Contextual Clustering in Learned Image Coding |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| Any-Size-Diffusion: Toward Efficient Text-Driven Synthesis for Any-Size HD Images |
❌ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Any-Stereo: Arbitrary Scale Disparity Estimation for Iterative Stereo Matching |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Any-Way Meta Learning |
✅ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Approval-Based Committee Voting in Practice: A Case Study of (over-)Representation in the Polkadot Blockchain |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
❌ |
2 |
| Approximate Distance Oracle for Fault-Tolerant Geometric Spanners |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Approximate Integer Solution Counts over Linear Arithmetic Constraints |
✅ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
5 |
| Approximating the Shapley Value without Marginal Contributions |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
❌ |
3 |
| Approximation Algorithms for Preference Aggregation Using CP-Nets |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| Approximation Scheme for Weighted Metric Clustering via Sherali-Adams |
✅ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Arbitrary-Scale Point Cloud Upsampling by Voxel-Based Network with Latent Geometric-Consistent Learning |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Arbitrary-Scale Video Super-resolution Guided by Dynamic Context |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
❌ |
1 |
| Are You Concerned about Limited Function Evaluations: Data-Augmented Pareto Set Learning for Expensive Multi-Objective Optimization |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
4 |
| Arithmetic Feature Interaction Is Necessary for Deep Tabular Learning |
❌ |
✅ |
✅ |
✅ |
✅ |
✅ |
✅ |
6 |
| ArtBank: Artistic Style Transfer with Pre-trained Diffusion Model and Implicit Style Prompt Bank |
❌ |
✅ |
✅ |
❌ |
✅ |
❌ |
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4 |
| Aspect-Based Sentiment Analysis with Explicit Sentiment Augmentations |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Asymmetric Mutual Alignment for Unsupervised Zero-Shot Sketch-Based Image Retrieval |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Attack Deterministic Conditional Image Generative Models for Diverse and Controllable Generation |
✅ |
❌ |
❌ |
❌ |
✅ |
❌ |
✅ |
3 |
| Attacking Transformers with Feature Diversity Adversarial Perturbation |
✅ |
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✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Attacks on Continual Semantic Segmentation by Perturbing Incremental Samples |
✅ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Attention Disturbance and Dual-Path Constraint Network for Occluded Person Re-identification |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Attention Guided CAM: Visual Explanations of Vision Transformer Guided by Self-Attention |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
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3 |
| Attention-Induced Embedding Imputation for Incomplete Multi-View Partial Multi-Label Classification |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
❌ |
2 |
| Attribute-Missing Graph Clustering Network |
✅ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
5 |
| Audio Generation with Multiple Conditional Diffusion Model |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Audio Scanning Network: Bridging Time and Frequency Domains for Audio Classification |
✅ |
❌ |
✅ |
✅ |
❌ |
✅ |
✅ |
5 |
| Auditable Algorithms for Approximate Model Counting |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| Augmented Commonsense Knowledge for Remote Object Grounding |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Auto-Prox: Training-Free Vision Transformer Architecture Search via Automatic Proxy Discovery |
✅ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
6 |
| Automated Defect Report Generation for Enhanced Industrial Quality Control |
❌ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
3 |
| Automated Design of Affine Maximizer Mechanisms in Dynamic Settings |
✅ |
❌ |
❌ |
❌ |
❌ |
✅ |
✅ |
3 |
| Automatic Core-Guided Reformulation via Constraint Explanation and Condition Learning |
❌ |
❌ |
❌ |
❌ |
✅ |
❌ |
❌ |
1 |
| Automatic Radiology Reports Generation via Memory Alignment Network |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| Autoregressive Omni-Aware Outpainting for Open-Vocabulary 360-Degree Image Generation |
❌ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| AvatarVerse: High-Quality & Stable 3D Avatar Creation from Text and Pose |
❌ |
❌ |
✅ |
❌ |
✅ |
✅ |
✅ |
4 |
| Axiomatic Aggregations of Abductive Explanations |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| B-spine: Learning B-spline Curve Representation for Robust and Interpretable Spinal Curvature Estimation |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| BAIT: Benchmarking (Embedding) Architectures for Interactive Theorem-Proving |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| BAND: Biomedical Alert News Dataset |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
3 |
| BARET: Balanced Attention Based Real Image Editing Driven by Target-Text Inversion |
✅ |
❌ |
✅ |
❌ |
✅ |
✅ |
✅ |
5 |
| BAT: Behavior-Aware Human-Like Trajectory Prediction for Autonomous Driving |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| BBScore: A Brownian Bridge Based Metric for Assessing Text Coherence |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
❌ |
1 |
| BCLNet: Bilateral Consensus Learning for Two-View Correspondence Pruning |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
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2 |
| BDIQA: A New Dataset for Video Question Answering to Explore Cognitive Reasoning through Theory of Mind |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| BEV-MAE: Bird’s Eye View Masked Autoencoders for Point Cloud Pre-training in Autonomous Driving Scenarios |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
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5 |
| BLADE: Box-Level Supervised Amodal Segmentation through Directed Expansion |
❌ |
❌ |
✅ |
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✅ |
❌ |
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3 |
| BLIVA: A Simple Multimodal LLM for Better Handling of Text-Rich Visual Questions |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
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5 |
| BLiRF: Bandlimited Radiance Fields for Dynamic Scene Modeling |
❌ |
❌ |
✅ |
❌ |
✅ |
❌ |
❌ |
2 |
| BOK-VQA: Bilingual outside Knowledge-Based Visual Question Answering via Graph Representation Pretraining |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| BVT-IMA: Binary Vision Transformer with Information-Modified Attention |
❌ |
✅ |
✅ |
❌ |
✅ |
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4 |
| BaCon: Boosting Imbalanced Semi-supervised Learning via Balanced Feature-Level Contrastive Learning |
❌ |
❌ |
✅ |
❌ |
✅ |
❌ |
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3 |
| Backdoor Adjustment via Group Adaptation for Debiased Coupon Recommendations |
❌ |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
4 |
| Backdoor Attacks via Machine Unlearning |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Backpropagation Through Agents |
✅ |
❌ |
✅ |
❌ |
❌ |
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2 |
| Backward Responsibility in Transition Systems Using General Power Indices |
❌ |
✅ |
✅ |
❌ |
✅ |
❌ |
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4 |
| BadRL: Sparse Targeted Backdoor Attack against Reinforcement Learning |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
4 |
| Balancing Humans and Machines: A Study on Integration Scale and Its Impact on Collaborative Performance |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Barely Supervised Learning for Graph-Based Fraud Detection |
❌ |
❌ |
✅ |
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❌ |
✅ |
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4 |
| Batch Normalization Is Blind to the First and Second Derivatives of the Loss |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Bayesian Inference with Complex Knowledge Graph Evidence |
✅ |
✅ |
✅ |
❌ |
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❌ |
❌ |
3 |
| Behavioral Recognition of Skeletal Data Based on Targeted Dual Fusion Strategy |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
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5 |
| BeliefFlow: A Framework for Logic-Based Belief Diffusion via Iterated Belief Change |
❌ |
✅ |
❌ |
❌ |
❌ |
❌ |
✅ |
2 |
| Benchmarking Large Language Models in Retrieval-Augmented Generation |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Benchmarking Large Language Models on Controllable Generation under Diversified Instructions |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Better than Random: Reliable NLG Human Evaluation with Constrained Active Sampling |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Beyond Attention: Breaking the Limits of Transformer Context Length with Recurrent Memory |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Beyond Entities: A Large-Scale Multi-Modal Knowledge Graph with Triplet Fact Grounding |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
3 |
| Beyond Expected Return: Accounting for Policy Reproducibility When Evaluating Reinforcement Learning Algorithms |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Beyond Grounding: Extracting Fine-Grained Event Hierarchies across Modalities |
❌ |
❌ |
✅ |
✅ |
✅ |
✅ |
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5 |
| Beyond Mimicking Under-Represented Emotions: Deep Data Augmentation with Emotional Subspace Constraints for EEG-Based Emotion Recognition |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
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2 |
| Beyond OOD State Actions: Supported Cross-Domain Offline Reinforcement Learning |
❌ |
❌ |
✅ |
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❌ |
❌ |
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2 |
| Beyond Prototypes: Semantic Anchor Regularization for Better Representation Learning |
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✅ |
✅ |
✅ |
❌ |
❌ |
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4 |
| Beyond TreeSHAP: Efficient Computation of Any-Order Shapley Interactions for Tree Ensembles |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
❌ |
2 |
| Beyond the Label Itself: Latent Labels Enhance Semi-supervised Point Cloud Panoptic Segmentation |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Bi-ViT: Pushing the Limit of Vision Transformer Quantization |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Bi-directional Adapter for Multimodal Tracking |
❌ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| BiPFT: Binary Pre-trained Foundation Transformer with Low-Rank Estimation of Binarization Residual Polynomials |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Bias-Conflict Sample Synthesis and Adversarial Removal Debias Strategy for Temporal Sentence Grounding in Video |
✅ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
5 |
| Bidirectional Temporal Plan Graph: Enabling Switchable Passing Orders for More Efficient Multi-Agent Path Finding Plan Execution |
✅ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
5 |
| Big Learning Expectation Maximization |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
4 |
| Bilateral Gradual Semantics for Weighted Argumentation |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Binding-Adaptive Diffusion Models for Structure-Based Drug Design |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
3 |
| Blind Face Restoration under Extreme Conditions: Leveraging 3D-2D Prior Fusion for Superior Structural and Texture Recovery |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Block Image Compressive Sensing with Local and Global Information Interaction |
❌ |
✅ |
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4 |
| Block-Level Goal Recognition Design |
✅ |
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❌ |
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3 |
| Boosting Adversarial Transferability across Model Genus by Deformation-Constrained Warping |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Boosting Few-Shot Learning via Attentive Feature Regularization |
❌ |
❌ |
✅ |
✅ |
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❌ |
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3 |
| Boosting Multiple Instance Learning Models for Whole Slide Image Classification: A Model-Agnostic Framework Based on Counterfactual Inference |
❌ |
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✅ |
❌ |
✅ |
✅ |
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5 |
| Boosting Neural Cognitive Diagnosis with Student’s Affective State Modeling |
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❌ |
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5 |
| Boosting Residual Networks with Group Knowledge |
✅ |
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✅ |
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❌ |
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4 |
| Bootstrapping Cognitive Agents with a Large Language Model |
❌ |
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❌ |
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❌ |
✅ |
3 |
| Bootstrapping Large Language Models for Radiology Report Generation |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Box2Poly: Memory-Efficient Polygon Prediction of Arbitrarily Shaped and Rotated Text |
❌ |
✅ |
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❌ |
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5 |
| Bridging the Gap between 2D and 3D Visual Question Answering: A Fusion Approach for 3D VQA |
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4 |
| Bridging the Semantic Latent Space between Brain and Machine: Similarity Is All You Need |
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3 |
| Brush Your Text: Synthesize Any Scene Text on Images via Diffusion Model |
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4 |
| Building Minimal and Reusable Causal State Abstractions for Reinforcement Learning |
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3 |
| Building Variable-Sized Models via Learngene Pool |
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4 |
| CAMEL: Capturing Metaphorical Alignment with Context Disentangling for Multimodal Emotion Recognition |
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❌ |
✅ |
❌ |
❌ |
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❌ |
1 |
| CAR-Transformer: Cross-Attention Reinforcement Transformer for Cross-Lingual Summarization |
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✅ |
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❌ |
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4 |
| CARAT: Contrastive Feature Reconstruction and Aggregation for Multi-Modal Multi-Label Emotion Recognition |
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✅ |
✅ |
✅ |
✅ |
❌ |
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5 |
| CAVEN: An Embodied Conversational Agent for Efficient Audio-Visual Navigation in Noisy Environments |
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❌ |
✅ |
✅ |
❌ |
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2 |
| CDPNet: Cross-Modal Dual Phases Network for Point Cloud Completion |
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✅ |
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2 |
| CEDFlow: Latent Contour Enhancement for Dark Optical Flow Estimation |
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✅ |
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❌ |
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3 |
| CEGAR-Based Approach for Solving Combinatorial Optimization Modulo Quantified Linear Arithmetics Problems |
✅ |
✅ |
✅ |
❌ |
✅ |
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✅ |
5 |
| CF-NeRF: Camera Parameter Free Neural Radiance Fields with Incremental Learning |
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✅ |
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✅ |
❌ |
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3 |
| CFEVER: A Chinese Fact Extraction and VERification Dataset |
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✅ |
✅ |
✅ |
❌ |
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3 |
| CFR-ICL: Cascade-Forward Refinement with Iterative Click Loss for Interactive Image Segmentation |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| CGMGM: A Cross-Gaussian Mixture Generative Model for Few-Shot Semantic Segmentation |
❌ |
❌ |
✅ |
✅ |
❌ |
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✅ |
3 |
| CGS-Mask: Making Time Series Predictions Intuitive for All |
✅ |
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4 |
| CI-STHPAN: Pre-trained Attention Network for Stock Selection with Channel-Independent Spatio-Temporal Hypergraph |
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✅ |
✅ |
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❌ |
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4 |
| CIDR: A Cooperative Integrated Dynamic Refining Method for Minimal Feature Removal Problem |
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✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| CK12: A Rounded K12 Knowledge Graph Based Benchmark for Chinese Holistic Cognition Evaluation |
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❌ |
✅ |
❌ |
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✅ |
2 |
| CL2CM: Improving Cross-Lingual Cross-Modal Retrieval via Cross-Lingual Knowledge Transfer |
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✅ |
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3 |
| CLIM: Contrastive Language-Image Mosaic for Region Representation |
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3 |
| CLIP-Gaze: Towards General Gaze Estimation via Visual-Linguistic Model |
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✅ |
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3 |
| CLIP-Guided Federated Learning on Heterogeneity and Long-Tailed Data |
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✅ |
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❌ |
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5 |
| CMDA: Cross-Modal and Domain Adversarial Adaptation for LiDAR-Based 3D Object Detection |
✅ |
❌ |
✅ |
❌ |
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2 |
| CMG-Net: Robust Normal Estimation for Point Clouds via Chamfer Normal Distance and Multi-Scale Geometry |
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5 |
| COMBAT: Alternated Training for Effective Clean-Label Backdoor Attacks |
✅ |
✅ |
✅ |
❌ |
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4 |
| COMBHelper: A Neural Approach to Reduce Search Space for Graph Combinatorial Problems |
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3 |
| COMMA: Co-articulated Multi-Modal Learning |
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4 |
| CONSIDER: Commonalities and Specialties Driven Multilingual Code Retrieval Framework |
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✅ |
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5 |
| CORECODE: A Common Sense Annotated Dialogue Dataset with Benchmark Tasks for Chinese Large Language Models |
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✅ |
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2 |
| CPN: Complementary Proposal Network for Unconstrained Text Detection |
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3 |
| CR-SAM: Curvature Regularized Sharpness-Aware Minimization |
✅ |
✅ |
✅ |
❌ |
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❌ |
✅ |
5 |
| CRA-PCN: Point Cloud Completion with Intra- and Inter-level Cross-Resolution Transformers |
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4 |
| CREAD: A Classification-Restoration Framework with Error Adaptive Discretization for Watch Time Prediction in Video Recommender Systems |
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2 |
| CSL: Class-Agnostic Structure-Constrained Learning for Segmentation Including the Unseen |
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2 |
| CTO-SLAM: Contour Tracking for Object-Level Robust 4D SLAM |
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✅ |
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3 |
| CUDC: A Curiosity-Driven Unsupervised Data Collection Method with Adaptive Temporal Distances for Offline Reinforcement Learning |
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3 |
| CUTS+: High-Dimensional Causal Discovery from Irregular Time-Series |
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2 |
| CaMIL: Causal Multiple Instance Learning for Whole Slide Image Classification |
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✅ |
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4 |
| Cached Transformers: Improving Transformers with Differentiable Memory Cachde |
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✅ |
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4 |
| Calibrated One Round Federated Learning with Bayesian Inference in the Predictive Space |
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4 |
| CamoDiffusion: Camouflaged Object Detection via Conditional Diffusion Models |
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4 |
| Can LLMs Fix Issues with Reasoning Models? Towards More Likely Models for AI Planning |
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2 |
| Can Large Language Models Serve as Rational Players in Game Theory? A Systematic Analysis |
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1 |
| Can Large Language Models Understand Real-World Complex Instructions? |
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2 |
| Can You Rely on Synthetic Labellers in Preference-Based Reinforcement Learning? It’s Complicated |
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2 |
| CatFormer: Category-Level 6D Object Pose Estimation with Transformer |
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❌ |
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6 |
| Catalyst for Clustering-Based Unsupervised Object Re-identification: Feature Calibration |
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5 |
| Catch-Up Mix: Catch-Up Class for Struggling Filters in CNN |
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3 |
| CatmullRom Splines-Based Regression for Image Forgery Localization |
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3 |
| Causal Adversarial Perturbations for Individual Fairness and Robustness in Heterogeneous Data Spaces |
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2 |
| Causal Discovery from Poisson Branching Structural Causal Model Using High-Order Cumulant with Path Analysis |
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3 |
| Causal Representation Learning via Counterfactual Intervention |
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2 |
| Causal Strategic Learning with Competitive Selection |
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3 |
| Causal Walk: Debiasing Multi-Hop Fact Verification with Front-Door Adjustment |
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4 |
| Causal-Driven Skill Prerequisite Structure Discovery |
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3 |
| Causality-Inspired Invariant Representation Learning for Text-Based Person Retrieval |
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4 |
| Cautiously-Optimistic Knowledge Sharing for Cooperative Multi-Agent Reinforcement Learning |
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4 |
| CcDPM: A Continuous Conditional Diffusion Probabilistic Model for Inverse Design |
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3 |
| Ced-NeRF: A Compact and Efficient Method for Dynamic Neural Radiance Fields |
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5 |
| Cell Graph Transformer for Nuclei Classification |
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5 |
| Chain of Generation: Multi-Modal Gesture Synthesis via Cascaded Conditional Control |
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4 |
| Chain-of-Thought Improves Text Generation with Citations in Large Language Models |
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✅ |
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❌ |
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6 |
| Cheaper and Faster: Distributed Deep Reinforcement Learning with Serverless Computing |
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3 |
| Chinese Spelling Correction as Rephrasing Language Model |
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4 |
| ChromaFusionNet (CFNet): Natural Fusion of Fine-Grained Color Editing |
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2 |
| Chronic Poisoning: Backdoor Attack against Split Learning |
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❌ |
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3 |
| Clarifying the Behavior and the Difficulty of Adversarial Training |
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2 |
| Class-Attribute Priors: Adapting Optimization to Heterogeneity and Fairness Objective |
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3 |
| CoLAL: Co-learning Active Learning for Text Classification |
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5 |
| CoPL: Contextual Prompt Learning for Vision-Language Understanding |
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4 |
| CoSTA: End-to-End Comprehensive Space-Time Entanglement for Spatio-Temporal Video Grounding |
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❌ |
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2 |
| CoVR: Learning Composed Video Retrieval from Web Video Captions |
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5 |
| Code-Style In-Context Learning for Knowledge-Based Question Answering |
✅ |
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5 |
| ColNeRF: Collaboration for Generalizable Sparse Input Neural Radiance Field |
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3 |
| Collaborative Consortium of Foundation Models for Open-World Few-Shot Learning |
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4 |
| Collaborative Synthesis of Patient Records through Multi-Visit Health State Inference |
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2 |
| Collaborative Tooth Motion Diffusion Model in Digital Orthodontics |
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3 |
| Collaborative Weakly Supervised Video Correlation Learning for Procedure-Aware Instructional Video Analysis |
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3 |
| Color Event Enhanced Single-Exposure HDR Imaging |
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❌ |
✅ |
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3 |
| Colored Noise in PPO: Improved Exploration and Performance through Correlated Action Sampling |
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❌ |
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3 |
| Colorizing Monochromatic Radiance Fields |
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4 |
| Colour Passing Revisited: Lifted Model Construction with Commutative Factors |
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✅ |
❌ |
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2 |
| Combating Data Imbalances in Federated Semi-supervised Learning with Dual Regulators |
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❌ |
✅ |
❌ |
❌ |
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2 |
| Combinatorial CNN-Transformer Learning with Manifold Constraints for Semi-supervised Medical Image Segmentation |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
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3 |
| Combinatorial Stochastic-Greedy Bandit |
✅ |
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✅ |
❌ |
❌ |
❌ |
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3 |
| Combining Multiple Supervision for Robust Zero-Shot Dense Retrieval |
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❌ |
✅ |
❌ |
❌ |
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2 |
| Commonsense for Zero-Shot Natural Language Video Localization |
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✅ |
❌ |
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❌ |
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2 |
| Communication Efficient Distributed Newton Method over Unreliable Networks |
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✅ |
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5 |
| Communication-Efficient Collaborative Regret Minimization in Multi-Armed Bandits |
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1 |
| Compact HD Map Construction via Douglas-Peucker Point Transformer |
✅ |
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✅ |
✅ |
❌ |
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6 |
| Comparing the Robustness of Modern No-Reference Image- and Video-Quality Metrics to Adversarial Attacks |
❌ |
✅ |
✅ |
❌ |
✅ |
❌ |
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3 |
| Competition among Pairwise Lottery Contests |
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❌ |
❌ |
❌ |
❌ |
❌ |
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0 |
| Complementary Knowledge Distillation for Robust and Privacy-Preserving Model Serving in Vertical Federated Learning |
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❌ |
✅ |
✅ |
❌ |
❌ |
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4 |
| Complete Neural Networks for Complete Euclidean Graphs |
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❌ |
✅ |
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1 |
| Completing Priceable Committees: Utilitarian and Representation Guarantees for Proportional Multiwinner Voting |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Complexity of Credulous and Skeptical Acceptance in Epistemic Argumentation Framework |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Complexity of Neural Network Training and ETR: Extensions with Effectively Continuous Functions |
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❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Component Fourier Neural Operator for Singularly Perturbed Differential Equations |
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❌ |
❌ |
❌ |
❌ |
❌ |
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1 |
| Composing Biases by Using CP to Decompose Minimal Functional Dependencies for Acquiring Complex Formulae |
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✅ |
❌ |
✅ |
✅ |
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5 |
| Composite Active Learning: Towards Multi-Domain Active Learning with Theoretical Guarantees |
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✅ |
✅ |
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3 |
| Composite Sketch+Text Queries for Retrieving Objects with Elusive Names and Complex Interactions |
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✅ |
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✅ |
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3 |
| Compositional Generalization for Multi-Label Text Classification: A Data-Augmentation Approach |
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✅ |
✅ |
✅ |
❌ |
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3 |
| Compositional Inversion for Stable Diffusion Models |
❌ |
✅ |
✅ |
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2 |
| Compositional Text-to-Image Synthesis with Attention Map Control of Diffusion Models |
✅ |
✅ |
✅ |
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3 |
| Compound Text-Guided Prompt Tuning via Image-Adaptive Cues |
❌ |
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✅ |
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❌ |
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5 |
| Comprehensive View Embedding Learning for Single-Cell Multimodal Integration |
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4 |
| Comprehensive Visual Grounding for Video Description |
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3 |
| Compressing Image-to-Image Translation GANs Using Local Density Structures on Their Learned Manifold |
✅ |
✅ |
✅ |
❌ |
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4 |
| Computing Nash Equilibria in Potential Games with Private Uncoupled Constraints |
✅ |
✅ |
❌ |
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3 |
| Computing the Why-Provenance for Datalog Queries via SAT Solvers |
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✅ |
✅ |
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4 |
| ConSequence: Synthesizing Logically Constrained Sequences for Electronic Health Record Generation |
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3 |
| ConVQG: Contrastive Visual Question Generation with Multimodal Guidance |
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✅ |
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4 |
| ConcaveQ: Non-monotonic Value Function Factorization via Concave Representations in Deep Multi-Agent Reinforcement Learning |
✅ |
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✅ |
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3 |
| Concept-Guided Prompt Learning for Generalization in Vision-Language Models |
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4 |
| ConceptBed: Evaluating Concept Learning Abilities of Text-to-Image Diffusion Models |
✅ |
✅ |
✅ |
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3 |
| ConditionVideo: Training-Free Condition-Guided Video Generation |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
2 |
| Conditional Backdoor Attack via JPEG Compression |
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❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Conditional Variational Autoencoder for Sign Language Translation with Cross-Modal Alignment |
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5 |
| Conformal Autoregressive Generation: Beam Search with Coverage Guarantees |
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3 |
| Conformal Crystal Graph Transformer with Robust Encoding of Periodic Invariance |
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3 |
| Confucius: Iterative Tool Learning from Introspection Feedback by Easy-to-Difficult Curriculum |
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2 |
| Confusing Pair Correction Based on Category Prototype for Domain Adaptation under Noisy Environments |
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3 |
| Considering Nonstationary within Multivariate Time Series with Variational Hierarchical Transformer for Forecasting |
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3 |
| ConsistNER: Towards Instructive NER Demonstrations for LLMs with the Consistency of Ontology and Context |
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3 |
| Consistency-GAN: Training GANs with Consistency Model |
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4 |
| Consistency-Guided Temperature Scaling Using Style and Content Information for Out-of-Domain Calibration |
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4 |
| ConsistentEE: A Consistent and Hardness-Guided Early Exiting Method for Accelerating Language Models Inference |
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4 |
| Constrained Bayesian Optimization under Partial Observations: Balanced Improvements and Provable Convergence |
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4 |
| Constraint Latent Space Matters: An Anti-anomalous Waveform Transformation Solution from Photoplethysmography to Arterial Blood Pressure |
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2 |
| ContactGen: Contact-Guided Interactive 3D Human Generation for Partners |
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4 |
| Content Filtering with Inattentive Information Consumers |
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0 |
| Context Enhanced Transformer for Single Image Object Detection in Video Data |
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4 |
| Context-Aware Iteration Policy Network for Efficient Optical Flow Estimation |
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3 |
| Context-I2W: Mapping Images to Context-Dependent Words for Accurate Zero-Shot Composed Image Retrieval |
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5 |
| Contextual Pandora’s Box |
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1 |
| Contextual Pre-planning on Reward Machine Abstractions for Enhanced Transfer in Deep Reinforcement Learning |
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5 |
| Continual Relation Extraction via Sequential Multi-Task Learning |
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6 |
| Continual Vision-Language Retrieval via Dynamic Knowledge Rectification |
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5 |
| Continuous Piecewise-Affine Based Motion Model for Image Animation |
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4 |
| Continuous Rotation Group Equivariant Network Inspired by Neural Population Coding |
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3 |
| Continuous Treatment Effect Estimation Using Gradient Interpolation and Kernel Smoothing |
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5 |
| Continuous-Time Graph Representation with Sequential Survival Process |
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4 |
| ContraNovo: A Contrastive Learning Approach to Enhance De Novo Peptide Sequencing |
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5 |
| Contrastive Balancing Representation Learning for Heterogeneous Dose-Response Curves Estimation |
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2 |
| Contrastive Continual Learning with Importance Sampling and Prototype-Instance Relation Distillation |
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4 |
| Contrastive Tuning: A Little Help to Make Masked Autoencoders Forget |
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5 |
| Contributing Dimension Structure of Deep Feature for Coreset Selection |
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3 |
| Controllable 3D Face Generation with Conditional Style Code Diffusion |
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4 |
| Controllable Mind Visual Diffusion Model |
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4 |
| Controller-Guided Partial Label Consistency Regularization with Unlabeled Data |
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1 |
| Convolutional Channel-Wise Competitive Learning for the Forward-Forward Algorithm |
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5 |
| Cooper: Coordinating Specialized Agents towards a Complex Dialogue Goal |
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4 |
| Cooperative Knowledge Distillation: A Learner Agnostic Approach |
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3 |
| CoreRec: A Counterfactual Correlation Inference for Next Set Recommendation |
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5 |
| Coreference Graph Guidance for Mind-Map Generation |
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6 |
| Correlation Matching Transformation Transformers for UHD Image Restoration |
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4 |
| Cost Minimization for Equilibrium Transition |
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1 |
| Count What You Want: Exemplar Identification and Few-Shot Counting of Human Actions in the Wild |
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5 |
| Counterfactual-Enhanced Information Bottleneck for Aspect-Based Sentiment Analysis |
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4 |
| Coupled Confusion Correction: Learning from Crowds with Sparse Annotations |
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6 |
| Coupling Graph Neural Networks with Fractional Order Continuous Dynamics: A Robustness Study |
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1 |
| Coverage-Guaranteed Prediction Sets for Out-of-Distribution Data |
❌ |
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❌ |
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0 |
| Critic-Guided Decision Transformer for Offline Reinforcement Learning |
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3 |
| Cross-Class Feature Augmentation for Class Incremental Learning |
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3 |
| Cross-Constrained Progressive Inference for 3D Hand Pose Estimation with Dynamic Observer-Decision-Adjuster Networks |
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3 |
| Cross-Covariate Gait Recognition: A Benchmark |
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4 |
| Cross-Domain Contrastive Learning for Time Series Clustering |
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4 |
| Cross-Gate MLP with Protein Complex Invariant Embedding Is a One-Shot Antibody Designer |
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3 |
| Cross-Layer and Cross-Sample Feature Optimization Network for Few-Shot Fine-Grained Image Classification |
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4 |
| Cross-Modal Feature Distribution Calibration for Few-Shot Visual Question Answering |
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2 |
| Cross-Modal Match for Language Conditioned 3D Object Grounding |
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5 |
| Cross-Modal and Uni-Modal Soft-Label Alignment for Image-Text Retrieval |
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3 |
| Cross-Sentence Gloss Consistency for Continuous Sign Language Recognition |
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3 |
| CrossBind: Collaborative Cross-Modal Identification of Protein Nucleic-Acid-Binding Residues |
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4 |
| CrystalBox: Future-Based Explanations for Input-Driven Deep RL Systems |
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2 |
| Cumulative Difference Learning VAE for Time-Series with Temporally Correlated Inflow-Outflow |
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3 |
| Cumulative Regret Analysis of the Piyavskii–Shubert Algorithm and Its Variants for Global Optimization |
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1 |
| Curriculum-Enhanced Residual Soft An-Isotropic Normalization for Over-Smoothness in Deep GNNs |
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5 |
| Curvature-Invariant Adversarial Attacks for 3D Point Clouds |
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4 |
| Curved Representation Space of Vision Transformers |
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4 |
| Customizing Language Model Responses with Contrastive In-Context Learning |
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2 |
| CutFreq: Cut-and-Swap Frequency Components for Low-Level Vision Augmentation |
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5 |
| Cycle Self-Refinement for Multi-Source Domain Adaptation |
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4 |
| Cycle-Consistency Learning for Captioning and Grounding |
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4 |
| CycleVTON: A Cycle Mapping Framework for Parser-Free Virtual Try-On |
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3 |
| D3: A Methodological Exploration of Domain Division, Modeling, and Balance in Multi-Domain Recommendations |
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2 |
| DA-Net: A Disentangled and Adaptive Network for Multi-Source Cross-Lingual Transfer Learning |
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4 |
| DAG-Aware Variational Autoencoder for Social Propagation Graph Generation |
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3 |
| DALDet: Depth-Aware Learning Based Object Detection for Autonomous Driving |
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5 |
| DART: Dual-Modal Adaptive Online Prompting and Knowledge Retention for Test-Time Adaptation |
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3 |
| DC-NAS: Divide-and-Conquer Neural Architecture Search for Multi-Modal Classification |
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4 |
| DCLP: Neural Architecture Predictor with Curriculum Contrastive Learning |
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4 |
| DDAE: Towards Deep Dynamic Vision BERT Pretraining |
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4 |
| DDDM-VC: Decoupled Denoising Diffusion Models with Disentangled Representation and Prior Mixup for Verified Robust Voice Conversion |
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3 |
| DGA-GNN: Dynamic Grouping Aggregation GNN for Fraud Detection |
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6 |
| DGCLUSTER: A Neural Framework for Attributed Graph Clustering via Modularity Maximization |
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3 |
| DGL: Dynamic Global-Local Prompt Tuning for Text-Video Retrieval |
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3 |
| DGPO: Discovering Multiple Strategies with Diversity-Guided Policy Optimization |
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3 |
| DHGCN: Dynamic Hop Graph Convolution Network for Self-Supervised Point Cloud Learning |
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4 |
| DI-V2X: Learning Domain-Invariant Representation for Vehicle-Infrastructure Collaborative 3D Object Detection |
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5 |
| DINGO: Towards Diverse and Fine-Grained Instruction-Following Evaluation |
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2 |
| DIUSum: Dynamic Image Utilization for Multimodal Summarization |
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3 |
| DLCA-Recon: Dynamic Loose Clothing Avatar Reconstruction from Monocular Videos |
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3 |
| DME: Unveiling the Bias for Better Generalized Monocular Depth Estimation |
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4 |
| DMMR: Cross-Subject Domain Generalization for EEG-Based Emotion Recognition via Denoising Mixed Mutual Reconstruction |
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6 |
| DOCTR: Disentangled Object-Centric Transformer for Point Scene Understanding |
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5 |
| DOGE-Train: Discrete Optimization on GPU with End-to-End Training |
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6 |
| DP-AdamBC: Your DP-Adam Is Actually DP-SGD (Unless You Apply Bias Correction) |
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4 |
| DPA-P2PNet: Deformable Proposal-Aware P2PNet for Accurate Point-Based Cell Detection |
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5 |
| DR-Label: Label Deconstruction and Reconstruction of GNN Models for Catalysis Systems |
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6 |
| DRF: Improving Certified Robustness via Distributional Robustness Framework |
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4 |
| DS-AL: A Dual-Stream Analytic Learning for Exemplar-Free Class-Incremental Learning |
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4 |
| DSD²: Can We Dodge Sparse Double Descent and Compress the Neural Network Worry-Free? |
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4 |
| DTF-AT: Decoupled Time-Frequency Audio Transformer for Event Classification |
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5 |
| DTL: Disentangled Transfer Learning for Visual Recognition |
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4 |
| DTMFormer: Dynamic Token Merging for Boosting Transformer-Based Medical Image Segmentation |
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4 |
| DUEL: Duplicate Elimination on Active Memory for Self-Supervised Class-Imbalanced Learning |
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2 |
| DVANet: Disentangling View and Action Features for Multi-View Action Recognition |
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3 |
| DVSAI: Diverse View-Shared Anchors Based Incomplete Multi-View Clustering |
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3 |
| DanceAnyWay: Synthesizing Beat-Guided 3D Dances with Randomized Temporal Contrastive Learning |
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4 |
| DanceMVP: Self-Supervised Learning for Multi-Task Primitive-Based Dance Performance Assessment via Transformer Text Prompting |
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5 |
| Data Adaptive Traceback for Vision-Language Foundation Models in Image Classification |
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2 |
| Data Augmented Graph Neural Networks for Personality Detection |
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4 |
| Data Disparity and Temporal Unavailability Aware Asynchronous Federated Learning for Predictive Maintenance on Transportation Fleets |
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4 |
| Data Distribution Distilled Generative Model for Generalized Zero-Shot Recognition |
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3 |
| Data Poisoning to Fake a Nash Equilibria for Markov Games |
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0 |
| Data Roaming and Quality Assessment for Composed Image Retrieval |
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4 |
| Data Shunt: Collaboration of Small and Large Models for Lower Costs and Better Performance |
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5 |
| Data-Augmented Curriculum Graph Neural Architecture Search under Distribution Shifts |
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2 |
| Data-Driven Knowledge-Aware Inference of Private Information in Continuous Double Auctions |
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5 |
| Data-Free Generalized Zero-Shot Learning |
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5 |
| Data-Free Hard-Label Robustness Stealing Attack |
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4 |
| De-biased Attention Supervision for Text Classification with Causality |
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6 |
| DePRL: Achieving Linear Convergence Speedup in Personalized Decentralized Learning with Shared Representations |
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4 |
| DeRDaVa: Deletion-Robust Data Valuation for Machine Learning |
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5 |
| DeS3: Adaptive Attention-Driven Self and Soft Shadow Removal Using ViT Similarity |
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3 |
| Dealing with Numeric and Metric Time Constraints in PDDL3 via Compilation to Numeric Planning |
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4 |
| Debiased Novel Category Discovering and Localization |
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3 |
| Debiasing Multimodal Sarcasm Detection with Contrastive Learning |
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4 |
| DeblurSR: Event-Based Motion Deblurring under the Spiking Representation |
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✅ |
❌ |
✅ |
5 |
| Decentralized Gradient-Free Methods for Stochastic Non-smooth Non-convex Optimization |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Decentralized Monte Carlo Tree Search for Partially Observable Multi-Agent Pathfinding |
❌ |
✅ |
❌ |
❌ |
✅ |
❌ |
✅ |
3 |
| Decentralized Scheduling with QoS Constraints: Achieving O(1) QoS Regret of Multi-Player Bandits |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| Decentralized Sum-of-Nonconvex Optimization |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Deciphering Compatibility Relationships with Textual Descriptions via Extraction and Explanation |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Deciphering Raw Data in Neuro-Symbolic Learning with Provable Guarantees |
❌ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Decoding AI’s Nudge: A Unified Framework to Predict Human Behavior in AI-Assisted Decision Making |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
❌ |
1 |
| Decoding Global Preferences: Temporal and Cooperative Dependency Modeling in Multi-Agent Preference-Based Reinforcement Learning |
❌ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Decomposing Constraint Networks for Calculating c-Representations |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| Decomposing Semantic Shifts for Composed Image Retrieval |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Decomposing Temporal Equilibrium Strategy for Coordinated Distributed Multi-Agent Reinforcement Learning |
✅ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Decouple Content and Motion for Conditional Image-to-Video Generation |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Decoupled Contrastive Learning for Long-Tailed Recognition |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| Decoupled Contrastive Multi-View Clustering with High-Order Random Walks |
❌ |
✅ |
✅ |
✅ |
✅ |
✅ |
✅ |
6 |
| Decoupled Optimisation for Long-Tailed Visual Recognition |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| Decoupled Textual Embeddings for Customized Image Generation |
❌ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Decoupled Training: Return of Frustratingly Easy Multi-Domain Learning |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Decoupling Degradations with Recurrent Network for Video Restoration in Under-Display Camera |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
1 |
| Decoupling Meta-Reinforcement Learning with Gaussian Task Contexts and Skills |
❌ |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| Decoupling Representation and Knowledge for Few-Shot Intent Classification and Slot Filling |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| Deep Active Learning with Noise Stability |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Deep Contrastive Graph Learning with Clustering-Oriented Guidance |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Deep Copula-Based Survival Analysis for Dependent Censoring with Identifiability Guarantees |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Deep Hierarchical Video Compression |
❌ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
3 |
| Deep Homography Estimation for Visual Place Recognition |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Deep Incomplete Multi-View Learning Network with Insufficient Label Information |
✅ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Deep Linear Array Pushbroom Image Restoration: A Degradation Pipeline and Jitter-Aware Restoration Network |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Deep Quantum Error Correction |
❌ |
❌ |
❌ |
❌ |
✅ |
❌ |
✅ |
2 |
| Deep Semantic Graph Transformer for Multi-View 3D Human Pose Estimation |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Deep Structural Knowledge Exploitation and Synergy for Estimating Node Importance Value on Heterogeneous Information Networks |
❌ |
❌ |
✅ |
✅ |
✅ |
✅ |
✅ |
5 |
| Deep Unfolded Network with Intrinsic Supervision for Pan-Sharpening |
❌ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Deep Variational Incomplete Multi-View Clustering: Exploring Shared Clustering Structures |
✅ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
5 |
| DeepAccident: A Motion and Accident Prediction Benchmark for V2X Autonomous Driving |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| DeepBranchTracer: A Generally-Applicable Approach to Curvilinear Structure Reconstruction Using Multi-Feature Learning |
✅ |
✅ |
✅ |
❌ |
✅ |
✅ |
✅ |
6 |
| DeepCalliFont: Few-Shot Chinese Calligraphy Font Synthesis by Integrating Dual-Modality Generative Models |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| DeepPointMap: Advancing LiDAR SLAM with Unified Neural Descriptors |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| DeepSaDe: Learning Neural Networks That Guarantee Domain Constraint Satisfaction |
✅ |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
4 |
| DeepSpeed Data Efficiency: Improving Deep Learning Model Quality and Training Efficiency via Efficient Data Sampling and Routing |
❌ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Defeasible Normative Reasoning: A Proof-Theoretic Integration of Logical Argumentation |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Defying Imbalanced Forgetting in Class Incremental Learning |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Delegation-Relegation for Boolean Matrix Factorization |
✅ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
5 |
| Deletion-Robust Submodular Maximization with Knapsack Constraints |
✅ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Delivering Inflated Explanations |
✅ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
5 |
| Delving into Multimodal Prompting for Fine-Grained Visual Classification |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| DenoSent: A Denoising Objective for Self-Supervised Sentence Representation Learning |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Dense Projection for Anomaly Detection |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Density Matters: Improved Core-Set for Active Domain Adaptive Segmentation |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Dependency Structure-Enhanced Graph Attention Networks for Event Detection |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Depth-Guided Robust and Fast Point Cloud Fusion NeRF for Sparse Input Views |
❌ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
3 |
| Descanning: From Scanned to the Original Images with a Color Correction Diffusion Model |
✅ |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
3 |
| Designing Biological Sequences without Prior Knowledge Using Evolutionary Reinforcement Learning |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
❌ |
3 |
| Detect Any Keypoints: An Efficient Light-Weight Few-Shot Keypoint Detector |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| Detecting and Preventing Hallucinations in Large Vision Language Models |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Detection and Defense of Unlearnable Examples |
✅ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
5 |
| Detection-Based Intermediate Supervision for Visual Question Answering |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Devignet: High-Resolution Vignetting Removal via a Dual Aggregated Fusion Transformer with Adaptive Channel Expansion |
❌ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| DexFuncGrasp: A Robotic Dexterous Functional Grasp Dataset Constructed from a Cost-Effective Real-Simulation Annotation System |
❌ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
3 |
| DiDA: Disambiguated Domain Alignment for Cross-Domain Retrieval with Partial Labels |
❌ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| DiG-In-GNN: Discriminative Feature Guided GNN-Based Fraud Detector against Inconsistencies in Multi-Relation Fraud Graph |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| DiSCO: Diffusion Schrödinger Bridge for Molecular Conformer Optimization |
✅ |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
4 |
| Diagnosing and Rectifying Fake OOD Invariance: A Restructured Causal Approach |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
2 |
| Dialogue for Prompting: A Policy-Gradient-Based Discrete Prompt Generation for Few-Shot Learning |
✅ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Dialogues Are Not Just Text: Modeling Cognition for Dialogue Coherence Evaluation |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
❌ |
1 |
| DifAttack: Query-Efficient Black-Box Adversarial Attack via Disentangled Feature Space |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
4 |
| DiffAIL: Diffusion Adversarial Imitation Learning |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| DiffBEV: Conditional Diffusion Model for Bird’s Eye View Perception |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| DiffRAW: Leveraging Diffusion Model to Generate DSLR-Comparable Perceptual Quality sRGB from Smartphone RAW Images |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| DiffSED: Sound Event Detection with Denoising Diffusion |
✅ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
6 |
| Differentiable Auxiliary Learning for Sketch Re-Identification |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| Diffusion Language-Shapelets for Semi-supervised Time-Series Classification |
✅ |
✅ |
✅ |
✅ |
✅ |
✅ |
✅ |
7 |
| DiffusionEdge: Diffusion Probabilistic Model for Crisp Edge Detection |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| DiffusionTrack: Diffusion Model for Multi-Object Tracking |
❌ |
✅ |
✅ |
✅ |
✅ |
✅ |
✅ |
6 |
| Direct Amortized Likelihood Ratio Estimation |
✅ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
5 |
| Direct May Not Be the Best: An Incremental Evolution View of Pose Generation |
❌ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Directed Diffusion: Direct Control of Object Placement through Attention Guidance |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
2 |
| Direction-Aware Video Demoiréing with Temporal-Guided Bilateral Learning |
❌ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
3 |
| Dirichlet-Based Prediction Calibration for Learning with Noisy Labels |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Discerning Temporal Difference Learning |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| Discovering Sequential Patterns with Predictable Inter-event Delays |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
4 |
| Discrepancy and Uncertainty Aware Denoising Knowledge Distillation for Zero-Shot Cross-Lingual Named Entity Recognition |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Discrete Cycle-Consistency Based Unsupervised Deep Graph Matching |
✅ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
5 |
| Discretization-Induced Dirichlet Posterior for Robust Uncertainty Quantification on Regression |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Discriminative Forests Improve Generative Diversity for Generative Adversarial Networks |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
❌ |
3 |
| Discriminatively Fuzzy Multi-View K-means Clustering with Local Structure Preserving |
✅ |
❌ |
✅ |
❌ |
✅ |
✅ |
✅ |
5 |
| Disentangled Diffusion-Based 3D Human Pose Estimation with Hierarchical Spatial and Temporal Denoiser |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
3 |
| Disentangled Partial Label Learning |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Disguise without Disruption: Utility-Preserving Face De-identification |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Disjoint Partial Enumeration without Blocking Clauses |
✅ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
5 |
| DistilVPR: Cross-Modal Knowledge Distillation for Visual Place Recognition |
❌ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Distilling Autoregressive Models to Obtain High-Performance Non-autoregressive Solvers for Vehicle Routing Problems with Faster Inference Speed |
❌ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Distilling Reliable Knowledge for Instance-Dependent Partial Label Learning |
✅ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
6 |
| Distributed Manifold Hashing for Image Set Classification and Retrieval |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Distribution Matching for Multi-Task Learning of Classification Tasks: A Large-Scale Study on Faces & Beyond |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| Distribution-Conditioned Adversarial Variational Autoencoder for Valid Instrumental Variable Generation |
✅ |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
4 |
| Distributional Off-Policy Evaluation for Slate Recommendations |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
4 |
| Divergence-Guided Simultaneous Speech Translation |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Diverse Person: Customize Your Own Dataset for Text-Based Person Search |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| Diverse and Aligned Audio-to-Video Generation via Text-to-Video Model Adaptation |
❌ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Diverse and Stable 2D Diffusion Guided Text to 3D Generation with Noise Recalibration |
✅ |
❌ |
❌ |
❌ |
✅ |
❌ |
✅ |
3 |
| Diversity-Authenticity Co-constrained Stylization for Federated Domain Generalization in Person Re-identification |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
4 |
| Divide and Conquer: Hybrid Pre-training for Person Search |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
❌ |
2 |
| DocFormerv2: Local Features for Document Understanding |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
2 |
| DocMSU: A Comprehensive Benchmark for Document-Level Multimodal Sarcasm Understanding |
❌ |
❌ |
❌ |
✅ |
✅ |
❌ |
✅ |
3 |
| DocNLC: A Document Image Enhancement Framework with Normalized and Latent Contrastive Representation for Multiple Degradations |
✅ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
6 |
| Does Few-Shot Learning Suffer from Backdoor Attacks? |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Domain Generalizable Person Search Using Unreal Dataset |
❌ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
3 |
| Domain Generalization with Vital Phase Augmentation |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Domain Invariant Learning for Gaussian Processes and Bayesian Exploration |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
❌ |
3 |
| Domain-Aware Fine-Tuning: Enhancing Neural Network Adaptability |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Domain-Controlled Prompt Learning |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Domain-Hallucinated Updating for Multi-Domain Face Anti-spoofing |
✅ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Double Auction on Diffusion Network |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Double Buffers CEM-TD3: More Efficient Evolution and Richer Exploration |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
4 |
| Double-Bounded Optimal Transport for Advanced Clustering and Classification |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
2 |
| Double-Descent Curves in Neural Networks: A New Perspective Using Gaussian Processes |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Double-Layer Hybrid-Label Identification Feature Selection for Multi-View Multi-Label Learning |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Doubly Perturbed Task Free Continual Learning |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| DrFuse: Learning Disentangled Representation for Clinical Multi-Modal Fusion with Missing Modality and Modal Inconsistency |
❌ |
❌ |
✅ |
✅ |
✅ |
✅ |
✅ |
5 |
| DreamIdentity: Enhanced Editability for Efficient Face-Identity Preserved Image Generation |
❌ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
3 |
| DreamStyler: Paint by Style Inversion with Text-to-Image Diffusion Models |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
1 |
| Dual Self-Paced Cross-Modal Hashing |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Dual-Channel Learning Framework for Drug-Drug Interaction Prediction via Relation-Aware Heterogeneous Graph Transformer |
❌ |
❌ |
✅ |
✅ |
✅ |
✅ |
✅ |
5 |
| Dual-Level Curriculum Meta-Learning for Noisy Few-Shot Learning Tasks |
✅ |
✅ |
✅ |
❌ |
✅ |
❌ |
❌ |
4 |
| Dual-Perspective Knowledge Enrichment for Semi-supervised 3D Object Detection |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Dual-Prior Augmented Decoding Network for Long Tail Distribution in HOI Detection |
❌ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Dual-View Whitening on Pre-trained Text Embeddings for Sequential Recommendation |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Dual-Window Multiscale Transformer for Hyperspectral Snapshot Compressive Imaging |
❌ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Dynamic Budget Throttling in Repeated Second-Price Auctions |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| Dynamic Feature Pruning and Consolidation for Occluded Person Re-identification |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Dynamic Knowledge Injection for AIXI Agents |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Dynamic Reactive Spiking Graph Neural Network |
✅ |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
4 |
| Dynamic Regret of Adversarial MDPs with Unknown Transition and Linear Function Approximation |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| Dynamic Semantic-Based Spatial Graph Convolution Network for Skeleton-Based Human Action Recognition |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Dynamic Spiking Graph Neural Networks |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Dynamic Sub-graph Distillation for Robust Semi-supervised Continual Learning |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Dynamic Tangled Derivative Logic of Metric Spaces |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Dynamic Weighted Combiner for Mixed-Modal Image Retrieval |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
❌ |
2 |
| E2E-AT: A Unified Framework for Tackling Uncertainty in Task-Aware End-to-End Learning |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| E2HQV: High-Quality Video Generation from Event Camera via Theory-Inspired Model-Aided Deep Learning |
❌ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| EAN: An Efficient Attention Module Guided by Normalization for Deep Neural Networks |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| EAT: Towards Long-Tailed Out-of-Distribution Detection |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| ECHO-GL: Earnings Calls-Driven Heterogeneous Graph Learning for Stock Movement Prediction |
✅ |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
4 |
| EDA: Evolving and Distinct Anchors for Multimodal Motion Prediction |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| EG-NAS: Neural Architecture Search with Fast Evolutionary Exploration |
✅ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
6 |
| EMGAN: Early-Mix-GAN on Extracting Server-Side Model in Split Federated Learning |
✅ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
5 |
| EPSD: Early Pruning with Self-Distillation for Efficient Model Compression |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| ERL-TD: Evolutionary Reinforcement Learning Enhanced with Truncated Variance and Distillation Mutation |
✅ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| ESRL: Efficient Sampling-Based Reinforcement Learning for Sequence Generation |
❌ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| EVE: Efficient Vision-Language Pre-training with Masked Prediction and Modality-Aware MoE |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| EarnHFT: Efficient Hierarchical Reinforcement Learning for High Frequency Trading |
✅ |
❌ |
❌ |
✅ |
✅ |
❌ |
✅ |
4 |
| EarthVQA: Towards Queryable Earth via Relational Reasoning-Based Remote Sensing Visual Question Answering |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Earthfarsser: Versatile Spatio-Temporal Dynamical Systems Modeling in One Model |
❌ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| EcomGPT: Instruction-Tuning Large Language Models with Chain-of-Task Tasks for E-commerce |
❌ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Editing Language Model-Based Knowledge Graph Embeddings |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
3 |
| Effect Size Estimation for Duration Recommendation in Online Experiments: Leveraging Hierarchical Models and Objective Utility Approaches |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
2 |
| Effective Causal Discovery under Identifiable Heteroscedastic Noise Model |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Effective Comparative Prototype Hashing for Unsupervised Domain Adaptation |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Effectiveness of Constant Stepsize in Markovian LSA and Statistical Inference |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
1 |
| Efficient Algorithms for Non-gaussian Single Index Models with Generative Priors |
❌ |
❌ |
✅ |
❌ |
✅ |
✅ |
✅ |
4 |
| Efficient Asynchronous Federated Learning with Prospective Momentum Aggregation and Fine-Grained Correction |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Efficient Axiomatization of OWL 2 EL Ontologies from Data by Means of Formal Concept Analysis |
❌ |
✅ |
✅ |
❌ |
✅ |
✅ |
✅ |
5 |
| Efficient Conditional Diffusion Model with Probability Flow Sampling for Image Super-resolution |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Efficient Constrained K-center Clustering with Background Knowledge |
✅ |
✅ |
✅ |
❌ |
✅ |
✅ |
✅ |
6 |
| Efficient Constraint Generation for Stochastic Shortest Path Problems |
✅ |
✅ |
✅ |
❌ |
✅ |
✅ |
✅ |
6 |
| Efficient Deweahter Mixture-of-Experts with Uncertainty-Aware Feature-Wise Linear Modulation |
❌ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
3 |
| Efficient Learning in Polyhedral Games via Best-Response Oracles |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
2 |
| Efficient Learning of PDEs via Taylor Expansion and Sparse Decomposition into Value and Fourier Domains |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
❌ |
3 |
| Efficient Lightweight Image Denoising with Triple Attention Transformer |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Efficient Look-Up Table from Expanded Convolutional Network for Accelerating Image Super-resolution |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| Efficient Nonparametric Tensor Decomposition for Binary and Count Data |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Efficient Online Crowdsourcing with Complex Annotations |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| Efficient Representation Learning of Satellite Image Time Series and Their Fusion for Spatiotemporal Applications |
✅ |
✅ |
✅ |
❌ |
✅ |
✅ |
✅ |
6 |
| Efficient Spiking Neural Networks with Sparse Selective Activation for Continual Learning |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Efficient Target Propagation by Deriving Analytical Solution |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
❌ |
2 |
| Electron Microscopy Images as Set of Fragments for Mitochondrial Segmentation |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| Eliciting Honest Information from Authors Using Sequential Review |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Eliciting Kemeny Rankings |
✅ |
✅ |
❌ |
❌ |
❌ |
❌ |
✅ |
3 |
| Elijah: Eliminating Backdoors Injected in Diffusion Models via Distribution Shift |
✅ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
5 |
| Embedded Feature Selection on Graph-Based Multi-View Clustering |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Embracing Language Inclusivity and Diversity in CLIP through Continual Language Learning |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Emergent Communication for Numerical Concepts Generalization |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Emotion Rendering for Conversational Speech Synthesis with Heterogeneous Graph-Based Context Modeling |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Empowering CAM-Based Methods with Capability to Generate Fine-Grained and High-Faithfulness Explanations |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Empowering Dual-Level Graph Self-Supervised Pretraining with Motif Discovery |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| EnMatch: Matchmaking for Better Player Engagement via Neural Combinatorial Optimization |
✅ |
❌ |
❌ |
❌ |
✅ |
❌ |
❌ |
2 |
| Encoding Constraints as Binary Constraint Networks Satisfying BTP |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| End-to-End Learning of LTLf Formulae by Faithful LTLf Encoding |
✅ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
5 |
| End-to-End RGB-D Image Compression via Exploiting Channel-Modality Redundancy |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| End-to-End Real-Time Vanishing Point Detection with Transformer |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| End-to-End Verification for Subgraph Solving |
✅ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
5 |
| Energy Efficient Streaming Time Series Classification with Attentive Power Iteration |
✅ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Engineering an Exact Pseudo-Boolean Model Counter |
✅ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
5 |
| Enhance Sketch Recognition’s Explainability via Semantic Component-Level Parsing |
❌ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Enhanced Fine-Grained Motion Diffusion for Text-Driven Human Motion Synthesis |
❌ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
3 |
| Enhancing Bilingual Lexicon Induction via Bi-directional Translation Pair Retrieving |
❌ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
3 |
| Enhancing Cognitive Diagnosis Using Un-interacted Exercises: A Collaboration-Aware Mixed Sampling Approach |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Enhancing Ensemble Clustering with Adaptive High-Order Topological Weights |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
4 |
| Enhancing Evolving Domain Generalization through Dynamic Latent Representations |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
3 |
| Enhancing Hyperspectral Images via Diffusion Model and Group-Autoencoder Super-resolution Network |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Enhancing Job Recommendation through LLM-Based Generative Adversarial Networks |
❌ |
❌ |
❌ |
✅ |
❌ |
❌ |
✅ |
2 |
| Enhancing Low-Resource Relation Representations through Multi-View Decoupling |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Enhancing Multi-Label Classification via Dynamic Label-Order Learning |
✅ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
5 |
| Enhancing Multi-Scale Diffusion Prediction via Sequential Hypergraphs and Adversarial Learning |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Enhancing Neural Radiance Fields with Adaptive Multi-Exposure Fusion: A Bilevel Optimization Approach for Novel View Synthesis |
❌ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Enhancing RAW-to-sRGB with Decoupled Style Structure in Fourier Domain |
❌ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Enhancing Representation of Spiking Neural Networks via Similarity-Sensitive Contrastive Learning |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Enhancing Semi-supervised Domain Adaptation via Effective Target Labeling |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
4 |
| Enhancing Training of Spiking Neural Network with Stochastic Latency |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
4 |
| Enhancing Zero-Shot Multi-Speaker TTS with Negated Speaker Representations |
❌ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
3 |
| Enhancing the Efficiency of Altruism and Taxes in Affine Congestion Games through Signalling |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Enhancing the Robustness of Spiking Neural Networks with Stochastic Gating Mechanisms |
❌ |
✅ |
✅ |
❌ |
✅ |
✅ |
✅ |
5 |
| Entropic Open-Set Active Learning |
✅ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
5 |
| Entropy Induced Pruning Framework for Convolutional Neural Networks |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Envy-Free House Allocation under Uncertain Preferences |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| Episodic Return Decomposition by Difference of Implicitly Assigned Sub-trajectory Reward |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
4 |
| Equity-Transformer: Solving NP-Hard Min-Max Routing Problems as Sequential Generation with Equity Context |
❌ |
✅ |
❌ |
❌ |
✅ |
❌ |
✅ |
3 |
| EulerMormer: Robust Eulerian Motion Magnification via Dynamic Filtering within Transformer |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Evaluate Geometry of Radiance Fields with Low-Frequency Color Prior |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Every Node Is Different: Dynamically Fusing Self-Supervised Tasks for Attributed Graph Clustering |
✅ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
5 |
| Everything2Motion: Synchronizing Diverse Inputs via a Unified Framework for Human Motion Synthesis |
❌ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
3 |
| Evidential Uncertainty-Guided Mitochondria Segmentation for 3D EM Images |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Evolving Parameterized Prompt Memory for Continual Learning |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Exact ASP Counting with Compact Encodings |
✅ |
✅ |
✅ |
❌ |
✅ |
❌ |
❌ |
4 |
| Exact Algorithms and Lowerbounds for Multiagent Path Finding: Power of Treelike Topology |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Exact Inference for Continuous-Time Gaussian Process Dynamics |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Exact Policy Recovery in Offline RL with Both Heavy-Tailed Rewards and Data Corruption |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| Exact, Fast and Expressive Poisson Point Processes via Squared Neural Families |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
❌ |
1 |
| Existence Is Chaos: Enhancing 3D Human Motion Prediction with Uncertainty Consideration |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| ExpCLIP: Bridging Text and Facial Expressions via Semantic Alignment |
❌ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
3 |
| Expand-and-Quantize: Unsupervised Semantic Segmentation Using High-Dimensional Space and Product Quantization |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| ExpeL: LLM Agents Are Experiential Learners |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
✅ |
6 |
| Expediting Contrastive Language-Image Pretraining via Self-Distilled Encoders |
❌ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
3 |
| Explainable Origin-Destination Crowd Flow Interpolation via Variational Multi-Modal Recurrent Graph Auto-Encoder |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Explaining Generalization Power of a DNN Using Interactive Concepts |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Explaining Reinforcement Learning Agents through Counterfactual Action Outcomes |
✅ |
✅ |
❌ |
❌ |
❌ |
❌ |
✅ |
3 |
| Explicit Visual Prompts for Visual Object Tracking |
❌ |
✅ |
✅ |
❌ |
✅ |
✅ |
✅ |
5 |
| Explicitly Perceiving and Preserving the Local Geometric Structures for 3D Point Cloud Attack |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| Exploiting Auxiliary Caption for Video Grounding |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Exploiting Discrepancy in Feature Statistic for Out-of-Distribution Detection |
❌ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Exploiting Geometry for Treatment Effect Estimation via Optimal Transport |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Exploiting Label Skews in Federated Learning with Model Concatenation |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
4 |
| Exploiting Polarized Material Cues for Robust Car Detection |
❌ |
✅ |
❌ |
❌ |
✅ |
❌ |
✅ |
3 |
| Exploiting Symmetric Temporally Sparse BPTT for Efficient RNN Training |
❌ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
3 |
| Exploiting the Social-Like Prior in Transformer for Visual Reasoning |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Explore 3D Dance Generation via Reward Model from Automatically-Ranked Demonstrations |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
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1 |
| Exploring Base-Class Suppression with Prior Guidance for Bias-Free One-Shot Object Detection |
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| Exploring Channel-Aware Typical Features for Out-of-Distribution Detection |
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| Exploring Diverse Representations for Open Set Recognition |
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| Exploring Domain Incremental Video Highlights Detection with the LiveFood Benchmark |
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| Exploring Equation as a Better Intermediate Meaning Representation for Numerical Reasoning of Large Language Models |
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4 |
| Exploring Gradient Explosion in Generative Adversarial Imitation Learning: A Probabilistic Perspective |
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3 |
| Exploring Large Language Model for Graph Data Understanding in Online Job Recommendations |
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3 |
| Exploring One-Shot Semi-supervised Federated Learning with Pre-trained Diffusion Models |
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1 |
| Exploring Post-training Quantization in LLMs from Comprehensive Study to Low Rank Compensation |
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2 |
| Exploring Self- and Cross-Triplet Correlations for Human-Object Interaction Detection |
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3 |
| Exploring Sparse Visual Prompt for Domain Adaptive Dense Prediction |
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3 |
| Exploring Temporal Feature Correlation for Efficient and Stable Video Semantic Segmentation |
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4 |
| Exploring Transformer Extrapolation |
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4 |
| Exponential Hardness of Optimization from the Locality in Quantum Neural Networks |
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1 |
| Exposing the Deception: Uncovering More Forgery Clues for Deepfake Detection |
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3 |
| Expressive Forecasting of 3D Whole-Body Human Motions |
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4 |
| Expressive Multi-Agent Communication via Identity-Aware Learning |
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3 |
| FACL-Attack: Frequency-Aware Contrastive Learning for Transferable Adversarial Attacks |
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3 |
| FAVOR: Full-Body AR-Driven Virtual Object Rearrangement Guided by Instruction Text |
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4 |
| FD3D: Exploiting Foreground Depth Map for Feature-Supervised Monocular 3D Object Detection |
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3 |
| FFT-Based Dynamic Token Mixer for Vision |
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5 |
| FG-EmoTalk: Talking Head Video Generation with Fine-Grained Controllable Facial Expressions |
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3 |
| FLAME: A Small Language Model for Spreadsheet Formulas |
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4 |
| FM-OV3D: Foundation Model-Based Cross-Modal Knowledge Blending for Open-Vocabulary 3D Detection |
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5 |
| FMRNet: Image Deraining via Frequency Mutual Revision |
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4 |
| FPRF: Feed-Forward Photorealistic Style Transfer of Large-Scale 3D Neural Radiance Fields |
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2 |
| FRED: Towards a Full Rotation-Equivariance in Aerial Image Object Detection |
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4 |
| FRIH: Fine-Grained Region-Aware Image Harmonization |
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4 |
| FT-GAN: Fine-Grained Tune Modeling for Chinese Opera Synthesis |
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5 |
| FaceCoresetNet: Differentiable Coresets for Face Set Recognition |
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4 |
| FaceRSA: RSA-Aware Facial Identity Cryptography Framework |
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| FacetCRS: Multi-Faceted Preference Learning for Pricking Filter Bubbles in Conversational Recommender System |
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2 |
| Fact-Driven Logical Reasoning for Machine Reading Comprehension |
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5 |
| Factored Online Planning in Many-Agent POMDPs |
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5 |
| Factorized Diffusion Autoencoder for Unsupervised Disentangled Representation Learning |
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4 |
| Factorized Explainer for Graph Neural Networks |
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2 |
| Fair Allocation of Items in Multiple Regions |
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1 |
| Fair Lotteries for Participatory Budgeting |
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1 |
| Fair Participation via Sequential Policies |
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2 |
| FairSIN: Achieving Fairness in Graph Neural Networks through Sensitive Information Neutralization |
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4 |
| FairTrade: Achieving Pareto-Optimal Trade-Offs between Balanced Accuracy and Fairness in Federated Learning |
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3 |
| FairWASP: Fast and Optimal Fair Wasserstein Pre-processing |
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3 |
| Fairness under Covariate Shift: Improving Fairness-Accuracy Tradeoff with Few Unlabeled Test Samples |
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6 |
| Fairness without Demographics through Shared Latent Space-Based Debiasing |
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3 |
| Faithful Model Explanations through Energy-Constrained Conformal Counterfactuals |
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3 |
| Far3D: Expanding the Horizon for Surround-View 3D Object Detection |
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| FashionERN: Enhance-and-Refine Network for Composed Fashion Image Retrieval |
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| Fast Inter-frame Motion Prediction for Compressed Dynamic Point Cloud Attribute Enhancement |
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| Fast Machine Unlearning without Retraining through Selective Synaptic Dampening |
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4 |
| Fast and Controllable Post-training Sparsity: Learning Optimal Sparsity Allocation with Global Constraint in Minutes |
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| Faster Stochastic Variance Reduction Methods for Compositional MiniMax Optimization |
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3 |
| FeatWalk: Enhancing Few-Shot Classification through Local View Leveraging |
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4 |
| Feature Distribution Matching by Optimal Transport for Effective and Robust Coreset Selection |
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4 |
| Feature Fusion from Head to Tail for Long-Tailed Visual Recognition |
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5 |
| Feature Transportation Improves Graph Neural Networks |
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3 |
| Fed-QSSL: A Framework for Personalized Federated Learning under Bitwidth and Data Heterogeneity |
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5 |
| FedA3I: Annotation Quality-Aware Aggregation for Federated Medical Image Segmentation against Heterogeneous Annotation Noise |
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4 |
| FedASMU: Efficient Asynchronous Federated Learning with Dynamic Staleness-Aware Model Update |
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2 |
| FedCD: Federated Semi-Supervised Learning with Class Awareness Balance via Dual Teachers |
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5 |
| FedCSL: A Scalable and Accurate Approach to Federated Causal Structure Learning |
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| FedCompetitors: Harmonious Collaboration in Federated Learning with Competing Participants |
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2 |
| FedDAT: An Approach for Foundation Model Finetuning in Multi-Modal Heterogeneous Federated Learning |
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3 |
| FedDiv: Collaborative Noise Filtering for Federated Learning with Noisy Labels |
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3 |
| FedFixer: Mitigating Heterogeneous Label Noise in Federated Learning |
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3 |
| FedGCR: Achieving Performance and Fairness for Federated Learning with Distinct Client Types via Group Customization and Reweighting |
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5 |
| FedLF: Layer-Wise Fair Federated Learning |
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| FedLPS: Heterogeneous Federated Learning for Multiple Tasks with Local Parameter Sharing |
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4 |
| FedMut: Generalized Federated Learning via Stochastic Mutation |
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4 |
| FedNS: A Fast Sketching Newton-Type Algorithm for Federated Learning |
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4 |
| FedST: Federated Style Transfer Learning for Non-IID Image Segmentation |
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3 |
| FedTGP: Trainable Global Prototypes with Adaptive-Margin-Enhanced Contrastive Learning for Data and Model Heterogeneity in Federated Learning |
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4 |
| Federated Adaptive Prompt Tuning for Multi-Domain Collaborative Learning |
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3 |
| Federated Causality Learning with Explainable Adaptive Optimization |
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5 |
| Federated Contextual Cascading Bandits with Asynchronous Communication and Heterogeneous Users |
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3 |
| Federated Graph Learning under Domain Shift with Generalizable Prototypes |
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3 |
| Federated Label-Noise Learning with Local Diversity Product Regularization |
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4 |
| Federated Learning with Extremely Noisy Clients via Negative Distillation |
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4 |
| Federated Modality-Specific Encoders and Multimodal Anchors for Personalized Brain Tumor Segmentation |
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7 |
| Federated Partial Label Learning with Local-Adaptive Augmentation and Regularization |
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2 |
| Federated X-armed Bandit |
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3 |
| Few Shot Part Segmentation Reveals Compositional Logic for Industrial Anomaly Detection |
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3 |
| Few-Shot Learning from Augmented Label-Uncertain Queries in Bongard-HOI |
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3 |
| Few-Shot Learning via Repurposing Ensemble of Black-Box Models |
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2 |
| Few-Shot Neural Radiance Fields under Unconstrained Illumination |
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2 |
| Fewer Steps, Better Performance: Efficient Cross-Modal Clip Trimming for Video Moment Retrieval Using Language |
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3 |
| Finding Interpretable Class-Specific Patterns through Efficient Neural Search |
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2 |
| Finding Visual Saliency in Continuous Spike Stream |
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4 |
| Fine Structure-Aware Sampling: A New Sampling Training Scheme for Pixel-Aligned Implicit Models in Single-View Human Reconstruction |
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3 |
| Fine-Grained Distillation for Long Document Retrieval |
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2 |
| Fine-Grained Knowledge Selection and Restoration for Non-exemplar Class Incremental Learning |
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5 |
| Fine-Grained Multi-View Hand Reconstruction Using Inverse Rendering |
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4 |
| Fine-Grained Prototypes Distillation for Few-Shot Object Detection |
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5 |
| Fine-Tuning Graph Neural Networks by Preserving Graph Generative Patterns |
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5 |
| Fine-Tuning Large Language Model Based Explainable Recommendation with Explainable Quality Reward |
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| Finite-Time Frequentist Regret Bounds of Multi-Agent Thompson Sampling on Sparse Hypergraphs |
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4 |
| FlexKBQA: A Flexible LLM-Powered Framework for Few-Shot Knowledge Base Question Answering |
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4 |
| FlightBERT++: A Non-autoregressive Multi-Horizon Flight Trajectory Prediction Framework |
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2 |
| Fluctuation-Based Adaptive Structured Pruning for Large Language Models |
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5 |
| FoSp: Focus and Separation Network for Early Smoke Segmentation |
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4 |
| FoX: Formation-Aware Exploration in Multi-Agent Reinforcement Learning |
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4 |
| FocalDreamer: Text-Driven 3D Editing via Focal-Fusion Assembly |
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2 |
| Focus Stacking with High Fidelity and Superior Visual Effects |
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3 |
| Focus-Then-Decide: Segmentation-Assisted Reinforcement Learning |
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3 |
| Follow Your Pose: Pose-Guided Text-to-Video Generation Using Pose-Free Videos |
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4 |
| FontDiffuser: One-Shot Font Generation via Denoising Diffusion with Multi-Scale Content Aggregation and Style Contrastive Learning |
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3 |
| Forced Exploration in Bandit Problems |
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3 |
| Forecasting Bimanual Object Manipulation Sequences from Unimanual Observations |
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3 |
| Foreseeing Reconstruction Quality of Gradient Inversion: An Optimization Perspective |
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3 |
| Formal Logic Enabled Personalized Federated Learning through Property Inference |
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5 |
| Foundations of Reactive Synthesis for Declarative Process Specifications |
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| Fractional Deep Reinforcement Learning for Age-Minimal Mobile Edge Computing |
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1 |
| Frame Semantic Role Labeling Using Arbitrary-Order Conditional Random Fields |
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3 |
| Frequency Shuffling and Enhancement for Open Set Recognition |
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4 |
| Frequency Spectrum Is More Effective for Multimodal Representation and Fusion: A Multimodal Spectrum Rumor Detector |
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5 |
| Frequency-Adaptive Pan-Sharpening with Mixture of Experts |
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4 |
| Frequency-Aware Deepfake Detection: Improving Generalizability through Frequency Space Domain Learning |
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4 |
| Frequency-Controlled Diffusion Model for Versatile Text-Guided Image-to-Image Translation |
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4 |
| Friendly Attacks to Improve Channel Coding Reliability |
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3 |
| From Coarse to Fine: A Distillation Method for Fine-Grained Emotion-Causal Span Pair Extraction in Conversation |
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4 |
| From GARCH to Neural Network for Volatility Forecast |
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3 |
| From Past to Future: Rethinking Eligibility Traces |
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1 |
| From Retrieval to Generation: A Simple and Unified Generative Model for End-to-End Task-Oriented Dialogue |
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5 |
| From Toxic to Trustworthy: Using Self-Distillation and Semi-supervised Methods to Refine Neural Networks |
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3 |
| Frozen CLIP Transformer Is an Efficient Point Cloud Encoder |
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2 |
| Frugal LMs Trained to Invoke Symbolic Solvers Achieve Parameter-Efficient Arithmetic Reasoning |
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4 |
| Full Bayesian Significance Testing for Neural Networks |
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1 |
| Full-Body Motion Reconstruction with Sparse Sensing from Graph Perspective |
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1 |
| Fully Data-Driven Pseudo Label Estimation for Pointly-Supervised Panoptic Segmentation |
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4 |
| Fully-Connected Spatial-Temporal Graph for Multivariate Time-Series Data |
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6 |
| Fusing Conditional Submodular GAN and Programmatic Weak Supervision |
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2 |
| Fusion-Vital: Video-RF Fusion Transformer for Advanced Remote Physiological Measurement |
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3 |
| FusionFormer: A Concise Unified Feature Fusion Transformer for 3D Pose Estimation |
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2 |
| F³-Pruning: A Training-Free and Generalized Pruning Strategy towards Faster and Finer Text-to-Video Synthesis |
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2 |
| G-Adapter: Towards Structure-Aware Parameter-Efficient Transfer Learning for Graph Transformer Networks |
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2 |
| G-NAS: Generalizable Neural Architecture Search for Single Domain Generalization Object Detection |
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4 |
| G2L-CariGAN: Caricature Generation from Global Structure to Local Features |
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3 |
| G2P-DDM: Generating Sign Pose Sequence from Gloss Sequence with Discrete Diffusion Model |
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4 |
| GAD-PVI: A General Accelerated Dynamic-Weight Particle-Based Variational Inference Framework |
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5 |
| GAMC: An Unsupervised Method for Fake News Detection Using Graph Autoencoder with Masking |
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4 |
| GCNext: Towards the Unity of Graph Convolutions for Human Motion Prediction |
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5 |
| GIN-SD: Source Detection in Graphs with Incomplete Nodes via Positional Encoding and Attentive Fusion |
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4 |
| GINN-LP: A Growing Interpretable Neural Network for Discovering Multivariate Laurent Polynomial Equations |
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5 |
| GLDL: Graph Label Distribution Learning |
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3 |
| GLOP: Learning Global Partition and Local Construction for Solving Large-Scale Routing Problems in Real-Time |
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4 |
| GMMFormer: Gaussian-Mixture-Model Based Transformer for Efficient Partially Relevant Video Retrieval |
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4 |
| GMP-AR: Granularity Message Passing and Adaptive Reconciliation for Temporal Hierarchy Forecasting |
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2 |
| GO-DICE: Goal-Conditioned Option-Aware Offline Imitation Learning via Stationary Distribution Correction Estimation |
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2 |
| GOALNET: Interleaving Neural Goal Predicate Inference with Classical Planning for Generalization in Robot Instruction Following |
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4 |
| GOODAT: Towards Test-Time Graph Out-of-Distribution Detection |
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3 |
| GSDD: Generative Space Dataset Distillation for Image Super-resolution |
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2 |
| GSENet:Global Semantic Enhancement Network for Lane Detection |
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5 |
| GSN: Generalisable Segmentation in Neural Radiance Field |
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3 |
| GSO-Net: Grid Surface Optimization via Learning Geometric Constraints |
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3 |
| G^2SAM: Graph-Based Global Semantic Awareness Method for Multimodal Sarcasm Detection |
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6 |
| Gated Attention Coding for Training High-Performance and Efficient Spiking Neural Networks |
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2 |
| Gaussian Mixture Proposals with Pull-Push Learning Scheme to Capture Diverse Events for Weakly Supervised Temporal Video Grounding |
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4 |
| Gaussian Process Neural Additive Models |
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5 |
| Gaze Target Detection by Merging Human Attention and Activity Cues |
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3 |
| Gaze from Origin: Learning for Generalized Gaze Estimation by Embedding the Gaze Frontalization Process |
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4 |
| Generalisation through Negation and Predicate Invention |
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4 |
| Generalising Planning Environment Redesign |
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5 |
| Generalizable Fourier Augmentation for Unsupervised Video Object Segmentation |
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3 |
| Generalizable Sleep Staging via Multi-Level Domain Alignment |
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5 |
| Generalizable Task Representation Learning for Offline Meta-Reinforcement Learning with Data Limitations |
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4 |
| Generalization Analysis of Machine Learning Algorithms via the Worst-Case Data-Generating Probability Measure |
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| Generalize for Future: Slow and Fast Trajectory Learning for CTR Prediction |
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4 |
| Generalized Bradley-Terry Models for Score Estimation from Paired Comparisons |
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2 |
| Generalized Planning for the Abstraction and Reasoning Corpus |
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5 |
| Generalized Planning in PDDL Domains with Pretrained Large Language Models |
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4 |
| Generalized Variational Inference via Optimal Transport |
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4 |
| Generalizing across Temporal Domains with Koopman Operators |
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2 |
| Generating Images of Rare Concepts Using Pre-trained Diffusion Models |
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4 |
| Generating Novel Leads for Drug Discovery Using LLMs with Logical Feedback |
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6 |
| Generating Universal Adversarial Perturbations for Quantum Classifiers |
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3 |
| Generating and Reweighting Dense Contrastive Patterns for Unsupervised Anomaly Detection |
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4 |
| Generative Calibration of Inaccurate Annotation for Label Distribution Learning |
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2 |
| Generative Model Perception Rectification Algorithm for Trade-Off between Diversity and Quality |
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3 |
| Generative Model-Based Feature Knowledge Distillation for Action Recognition |
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4 |
| Generative Multi-Modal Knowledge Retrieval with Large Language Models |
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4 |
| Generative-Based Fusion Mechanism for Multi-Modal Tracking |
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4 |
| Generator Assisted Mixture of Experts for Feature Acquisition in Batch |
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5 |
| Geometric-Facilitated Denoising Diffusion Model for 3D Molecule Generation |
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2 |
| Geometry-Guided Domain Generalization for Monocular 3D Object Detection |
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3 |
| Get a Head Start: On-Demand Pedagogical Policy Selection in Intelligent Tutoring |
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2 |
| Get an A in Math: Progressive Rectification Prompting |
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4 |
| Ghost Noise for Regularizing Deep Neural Networks |
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6 |
| GigaHumanDet: Exploring Full-Body Detection on Gigapixel-Level Images |
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4 |
| Goal Alignment: Re-analyzing Value Alignment Problems Using Human-Aware AI |
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5 |
| GraFITi: Graphs for Forecasting Irregularly Sampled Time Series |
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6 |
| Grab What You Need: Rethinking Complex Table Structure Recognition with Flexible Components Deliberation |
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3 |
| GradTree: Learning Axis-Aligned Decision Trees with Gradient Descent |
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4 |
| Gradient-Guided Modality Decoupling for Missing-Modality Robustness |
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3 |
| Gradual Residuals Alignment: A Dual-Stream Framework for GAN Inversion and Image Attribute Editing |
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2 |
| Gramformer: Learning Crowd Counting via Graph-Modulated Transformer |
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5 |
| Graph Context Transformation Learning for Progressive Correspondence Pruning |
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3 |
| Graph Contrastive Invariant Learning from the Causal Perspective |
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4 |
| Graph Disentangled Contrastive Learning with Personalized Transfer for Cross-Domain Recommendation |
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2 |
| Graph Invariant Learning with Subgraph Co-mixup for Out-of-Distribution Generalization |
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4 |
| Graph Learning in 4D: A Quaternion-Valued Laplacian to Enhance Spectral GCNs |
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3 |
| Graph Neural Networks with Soft Association between Topology and Attribute |
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6 |
| Graph Neural Prompting with Large Language Models |
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5 |
| Graph Reasoning Transformers for Knowledge-Aware Question Answering |
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3 |
| Graph of Thoughts: Solving Elaborate Problems with Large Language Models |
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3 |
| Graph-Aware Contrasting for Multivariate Time-Series Classification |
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4 |
| Graph-Based Prediction and Planning Policy Network (GP3Net) for Scalable Self-Driving in Dynamic Environments Using Deep Reinforcement Learning |
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3 |
| Greedy-Based Online Fair Allocation with Adversarial Input: Enabling Best-of-Many-Worlds Guarantees |
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1 |
| GridFormer: Point-Grid Transformer for Surface Reconstruction |
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4 |
| GroundVLP: Harnessing Zero-Shot Visual Grounding from Vision-Language Pre-training and Open-Vocabulary Object Detection |
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4 |
| Guiding a Harsh-Environments Robust Detector via RAW Data Characteristic Mining |
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4 |
| GxVAEs: Two Joint VAEs Generate Hit Molecules from Gene Expression Profiles |
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5 |
| H-ensemble: An Information Theoretic Approach to Reliable Few-Shot Multi-Source-Free Transfer |
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2 |
| H2GFormer: Horizontal-to-Global Voxel Transformer for 3D Semantic Scene Completion |
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4 |
| HACDR-Net: Heterogeneous-Aware Convolutional Network for Diabetic Retinopathy Multi-Lesion Segmentation |
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5 |
| HAGO-Net: Hierarchical Geometric Message Passing for Molecular Representation Learning |
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4 |
| HARDVS: Revisiting Human Activity Recognition with Dynamic Vision Sensors |
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5 |
| HDMixer: Hierarchical Dependency with Extendable Patch for Multivariate Time Series Forecasting |
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3 |
| HDformer: A Higher-Dimensional Transformer for Detecting Diabetes Utilizing Long-Range Vascular Signals |
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4 |
| HEAP: Unsupervised Object Discovery and Localization with Contrastive Grouping |
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1 |
| HGE: Embedding Temporal Knowledge Graphs in a Product Space of Heterogeneous Geometric Subspaces |
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3 |
| HGPrompt: Bridging Homogeneous and Heterogeneous Graphs for Few-Shot Prompt Learning |
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3 |
| HISR: Hybrid Implicit Surface Representation for Photorealistic 3D Human Reconstruction |
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3 |
| HONGAT: Graph Attention Networks in the Presence of High-Order Neighbors |
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4 |
| HOP to the Next Tasks and Domains for Continual Learning in NLP |
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3 |
| HORIZON: High-Resolution Semantically Controlled Panorama Synthesis |
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3 |
| HR-Pro: Point-Supervised Temporal Action Localization via Hierarchical Reliability Propagation |
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4 |
| Hand-Centric Motion Refinement for 3D Hand-Object Interaction via Hierarchical Spatial-Temporal Modeling |
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5 |
| Hard Regularization to Prevent Deep Online Clustering Collapse without Data Augmentation |
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4 |
| Hardness of Random Reordered Encodings of Parity for Resolution and CDCL |
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3 |
| Harnessing Edge Information for Improved Robustness in Vision Transformers |
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3 |
| Harnessing Holistic Discourse Features and Triadic Interaction for Sentiment Quadruple Extraction in Dialogues |
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4 |
| Harnessing Manycore Processors with Distributed Memory for Accelerated Training of Sparse and Recurrent Models |
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4 |
| Harnessing the Power of Beta Scoring in Deep Active Learning for Multi-Label Text Classification |
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6 |
| Harnessing the Power of SVD: An SVA Module for Enhanced Signal Classification |
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4 |
| Hawkes-Enhanced Spatial-Temporal Hypergraph Contrastive Learning Based on Criminal Correlations |
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5 |
| Heterogeneous Graph Reasoning for Fact Checking over Texts and Tables |
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5 |
| Heterogeneous Test-Time Training for Multi-Modal Person Re-identification |
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5 |
| HiHPQ: Hierarchical Hyperbolic Product Quantization for Unsupervised Image Retrieval |
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2 |
| Hidden Follower Detection: How Is the Gaze-Spacing Pattern Embodied in Frequency Domain? |
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3 |
| Hierarchical Aligned Multimodal Learning for NER on Tweet Posts |
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1 |
| Hierarchical Multi-Marginal Optimal Transport for Network Alignment |
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4 |
| Hierarchical Planning and Learning for Robots in Stochastic Settings Using Zero-Shot Option Invention |
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3 |
| Hierarchical Topology Isomorphism Expertise Embedded Graph Contrastive Learning |
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4 |
| Hierarchical and Incremental Structural Entropy Minimization for Unsupervised Social Event Detection |
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❌ |
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3 |
| Hierarchize Pareto Dominance in Multi-Objective Stochastic Linear Bandits |
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❌ |
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3 |
| High-Dimensional Analysis for Generalized Nonlinear Regression: From Asymptotics to Algorithm |
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3 |
| High-Fidelity 3D Head Avatars Reconstruction through Spatially-Varying Expression Conditioned Neural Radiance Field |
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3 |
| High-Fidelity Diffusion-Based Image Editing |
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4 |
| High-Fidelity Gradient Inversion in Distributed Learning |
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❌ |
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6 |
| High-Order Structure Based Middle-Feature Learning for Visible-Infrared Person Re-identification |
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5 |
| High-Quality Real-Time Rendering Using Subpixel Sampling Reconstruction |
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❌ |
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5 |
| Higher-Order Graph Convolutional Network with Flower-Petals Laplacians on Simplicial Complexes |
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6 |
| History Matters: Temporal Knowledge Editing in Large Language Model |
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2 |
| Homophily-Related: Adaptive Hybrid Graph Filter for Multi-View Graph Clustering |
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4 |
| Hot or Cold? Adaptive Temperature Sampling for Code Generation with Large Language Models |
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4 |
| How to Evaluate Behavioral Models |
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0 |
| How to Evaluate the Generalization of Detection? A Benchmark for Comprehensive Open-Vocabulary Detection |
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❌ |
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3 |
| How to Make Knockout Tournaments More Popular? |
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❌ |
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❌ |
❌ |
0 |
| How to Overcome Curse-of-Dimensionality for Out-of-Distribution Detection? |
❌ |
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✅ |
✅ |
✅ |
✅ |
✅ |
6 |
| How to Protect Copyright Data in Optimization of Large Language Models? |
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❌ |
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❌ |
✅ |
3 |
| How to Trade Off the Quantity and Capacity of Teacher Ensemble: Learning Categorical Distribution to Stochastically Employ a Teacher for Distillation |
✅ |
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❌ |
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5 |
| How to Use the Metropolis Algorithm for Multi-Objective Optimization? |
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❌ |
❌ |
✅ |
2 |
| HuTuMotion: Human-Tuned Navigation of Latent Motion Diffusion Models with Minimal Feedback |
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❌ |
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✅ |
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❌ |
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5 |
| Hybrid-SORT: Weak Cues Matter for Online Multi-Object Tracking |
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❌ |
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5 |
| Hybrid-Supervised Dual-Search: Leveraging Automatic Learning for Loss-Free Multi-Exposure Image Fusion |
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❌ |
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6 |
| HybridGait: A Benchmark for Spatial-Temporal Cloth-Changing Gait Recognition with Hybrid Explorations |
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3 |
| Hyp-OW: Exploiting Hierarchical Structure Learning with Hyperbolic Distance Enhances Open World Object Detection |
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❌ |
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2 |
| HyperEditor: Achieving Both Authenticity and Cross-Domain Capability in Image Editing via Hypernetworks |
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3 |
| HyperFast: Instant Classification for Tabular Data |
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4 |
| Hyperbolic Graph Diffusion Model |
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3 |
| Hypercorrelation Evolution for Video Class-Incremental Learning |
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2 |
| Hypergraph Joint Representation Learning for Hypervertices and Hyperedges via Cross Expansion |
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3 |
| Hypergraph Neural Architecture Search |
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5 |
| Hypergraph-Guided Disentangled Spectrum Transformer Networks for Near-Infrared Facial Expression Recognition |
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4 |
| Hyperspectral Image Reconstruction via Combinatorial Embedding of Cross-Channel Spatio-Spectral Clues |
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❌ |
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5 |
| Hypothesis, Verification, and Induction: Grounding Large Language Models with Self-Driven Skill Learning |
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3 |
| ICAR: Image-Based Complementary Auto Reasoning |
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2 |
| IGAMT: Privacy-Preserving Electronic Health Record Synthesization with Heterogeneity and Irregularity |
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❌ |
❌ |
✅ |
5 |
| IINet: Implicit Intra-inter Information Fusion for Real-Time Stereo Matching |
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✅ |
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4 |
| INFORMEDQX: Informed Conflict Detection for Over-Constrained Problems |
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✅ |
❌ |
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❌ |
5 |
| IOFM: Using the Interpolation Technique on the Over-Fitted Models to Identify Clean-Annotated Samples |
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4 |
| IPRemover: A Generative Model Inversion Attack against Deep Neural Network Fingerprinting and Watermarking |
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❌ |
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❌ |
❌ |
4 |
| IRPruneDet: Efficient Infrared Small Target Detection via Wavelet Structure-Regularized Soft Channel Pruning |
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4 |
| IS-DARTS: Stabilizing DARTS through Precise Measurement on Candidate Importance |
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❌ |
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6 |
| ISP-Teacher:Image Signal Process with Disentanglement Regularization for Unsupervised Domain Adaptive Dark Object Detection |
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❌ |
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5 |
| IT3D: Improved Text-to-3D Generation with Explicit View Synthesis |
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❌ |
❌ |
❌ |
❌ |
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1 |
| IVP-VAE: Modeling EHR Time Series with Initial Value Problem Solvers |
✅ |
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❌ |
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6 |
| Identifiability of Direct Effects from Summary Causal Graphs |
❌ |
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❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Identification for Tree-Shaped Structural Causal Models in Polynomial Time |
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1 |
| Identification of Causal Structure in the Presence of Missing Data with Additive Noise Model |
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3 |
| Identification of Causal Structure with Latent Variables Based on Higher Order Cumulants |
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❌ |
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1 |
| Identification of Necessary Semantic Undertakers in the Causal View for Image-Text Matching |
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4 |
| Image Captioning with Multi-Context Synthetic Data |
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5 |
| Image Content Generation with Causal Reasoning |
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❌ |
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5 |
| Image Safeguarding: Reasoning with Conditional Vision Language Model and Obfuscating Unsafe Content Counterfactually |
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❌ |
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5 |
| Image as a Language: Revisiting Scene Text Recognition via Balanced, Unified and Synchronized Vision-Language Reasoning Network |
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4 |
| Imagine, Initialize, and Explore: An Effective Exploration Method in Multi-Agent Reinforcement Learning |
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3 |
| Imitate the Good and Avoid the Bad: An Incremental Approach to Safe Reinforcement Learning |
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3 |
| Imitation of Life: A Search Engine for Biologically Inspired Design |
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3 |
| Impartial Adversarial Distillation: Addressing Biased Data-Free Knowledge Distillation via Adaptive Constrained Optimization |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
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1 |
| Implications of Distance over Redistricting Maps: Central and Outlier Maps |
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2 |
| Implicit Modeling of Non-rigid Objects with Cross-Category Signals |
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❌ |
✅ |
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❌ |
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3 |
| Improve Robustness of Reinforcement Learning against Observation Perturbations via l∞ Lipschitz Policy Networks |
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4 |
| Improved Anonymous Multi-Agent Path Finding Algorithm |
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❌ |
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❌ |
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4 |
| Improved Bandits in Many-to-One Matching Markets with Incentive Compatibility |
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❌ |
❌ |
❌ |
❌ |
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1 |
| Improved Graph Contrastive Learning for Short Text Classification |
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✅ |
❌ |
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5 |
| Improved MLP Point Cloud Processing with High-Dimensional Positional Encoding |
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❌ |
❌ |
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4 |
| Improved Metric Distortion via Threshold Approvals |
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1 |
| Improving Audio-Visual Segmentation with Bidirectional Generation |
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4 |
| Improving Automatic VQA Evaluation Using Large Language Models |
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❌ |
✅ |
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✅ |
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4 |
| Improving Cross-Modal Alignment with Synthetic Pairs for Text-Only Image Captioning |
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❌ |
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3 |
| Improving Diffusion-Based Image Restoration with Error Contraction and Error Correction |
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4 |
| Improving Distinguishability of Class for Graph Neural Networks |
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2 |
| Improving Expressive Power of Spectral Graph Neural Networks with Eigenvalue Correction |
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4 |
| Improving Factual Error Correction by Learning to Inject Factual Errors |
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❌ |
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5 |
| Improving GNN Calibration with Discriminative Ability: Insights and Strategies |
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❌ |
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2 |
| Improving Knowledge Extraction from LLMs for Task Learning through Agent Analysis |
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2 |
| Improving Neural Network Generalization on Data-Limited Regression with Doubly-Robust Boosting |
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4 |
| Improving Open Set Recognition via Visual Prompts Distilled from Common-Sense Knowledge |
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3 |
| Improving Open-Domain Dialogue Response Generation with Multi-Source Multilingual Commonsense Knowledge |
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4 |
| Improving PTM Site Prediction by Coupling of Multi-Granularity Structure and Multi-Scale Sequence Representation |
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5 |
| Improving Panoptic Narrative Grounding by Harnessing Semantic Relationships and Visual Confirmation |
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4 |
| Improving Robustness for Joint Optimization of Camera Pose and Decomposed Low-Rank Tensorial Radiance Fields |
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❌ |
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2 |
| Improving Transferability for Cross-Domain Trajectory Prediction via Neural Stochastic Differential Equation |
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❌ |
✅ |
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❌ |
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2 |
| Improving the Adversarial Transferability of Vision Transformers with Virtual Dense Connection |
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❌ |
✅ |
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❌ |
❌ |
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2 |
| Improving the Robustness of Knowledge-Grounded Dialogue via Contrastive Learning |
❌ |
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❌ |
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4 |
| In-Hand 3D Object Reconstruction from a Monocular RGB Video |
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4 |
| Incomplete Contrastive Multi-View Clustering with High-Confidence Guiding |
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❌ |
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6 |
| Inconsistency-Based Data-Centric Active Open-Set Annotation |
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4 |
| Incremental Quasi-Newton Methods with Faster Superlinear Convergence Rates |
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❌ |
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3 |
| Independence of Irrelevant Alternatives under the Lens of Pairwise Distortion |
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✅ |
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❌ |
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1 |
| Independency Adversarial Learning for Cross-Modal Sound Separation |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
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1 |
| Inducing Clusters Deep Kernel Gaussian Process for Longitudinal Data |
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❌ |
✅ |
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❌ |
❌ |
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2 |
| Inducing Point Operator Transformer: A Flexible and Scalable Architecture for Solving PDEs |
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❌ |
❌ |
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3 |
| Inertial Algorithm with Dry Fraction and Convolutional Sparse Coding for 3D Localization with Light Field Microscopy |
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❌ |
❌ |
✅ |
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4 |
| Inference and Learning in Dynamic Decision Networks Using Knowledge Compilation |
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5 |
| Influential Exemplar Replay for Incremental Learning in Recommender Systems |
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4 |
| Information Design for Congestion Games with Unknown Demand |
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5 |
| Input Margins Can Predict Generalization Too |
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4 |
| Inspecting Prediction Confidence for Detecting Black-Box Backdoor Attacks |
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❌ |
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4 |
| Instance-Aware Multi-Camera 3D Object Detection with Structural Priors Mining and Self-Boosting Learning |
❌ |
❌ |
✅ |
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❌ |
❌ |
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3 |
| Instance-Conditional Timescales of Decay for Non-Stationary Learning |
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✅ |
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❌ |
❌ |
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3 |
| InstructDoc: A Dataset for Zero-Shot Generalization of Visual Document Understanding with Instructions |
❌ |
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❌ |
✅ |
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4 |
| Instrumental Variable Estimation for Causal Inference in Longitudinal Data with Time-Dependent Latent Confounders |
❌ |
❌ |
✅ |
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❌ |
❌ |
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1 |
| Integer Is Enough: When Vertical Federated Learning Meets Rounding |
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3 |
| Integrated Decision Gradients: Compute Your Attributions Where the Model Makes Its Decision |
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❌ |
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5 |
| Intelligent Calibration for Bias Reduction in Sentiment Corpora Annotation Process |
❌ |
❌ |
✅ |
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❌ |
❌ |
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2 |
| Intentional Evolutionary Learning for Untrimmed Videos with Long Tail Distribution |
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4 |
| Interactive Hyperparameter Optimization in Multi-Objective Problems via Preference Learning |
❌ |
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❌ |
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5 |
| Interactive Visual Task Learning for Robots |
❌ |
❌ |
✅ |
❌ |
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1 |
| InterpretARA: Enhancing Hybrid Automatic Readability Assessment with Linguistic Feature Interpreter and Contrastive Learning |
❌ |
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✅ |
✅ |
❌ |
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5 |
| Interpretable3D: An Ad-Hoc Interpretable Classifier for 3D Point Clouds |
❌ |
✅ |
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❌ |
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3 |
| Intra- and Inter-group Optimal Transport for User-Oriented Fairness in Recommender Systems |
❌ |
❌ |
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3 |
| Intrinsic Action Tendency Consistency for Cooperative Multi-Agent Reinforcement Learning |
✅ |
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❌ |
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❌ |
❌ |
2 |
| Intrinsic Phase-Preserving Networks for Depth Super Resolution |
❌ |
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4 |
| Invariant Random Forest: Tree-Based Model Solution for OOD Generalization |
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❌ |
✅ |
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❌ |
❌ |
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3 |
| Inverse Weight-Balancing for Deep Long-Tailed Learning |
❌ |
❌ |
✅ |
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3 |
| Investigating the Effectiveness of Task-Agnostic Prefix Prompt for Instruction Following |
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3 |
| Is a Large Language Model a Good Annotator for Event Extraction? |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Iterative Regularization with k-support Norm: An Important Complement to Sparse Recovery |
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❌ |
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❌ |
❌ |
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2 |
| Iterative Token Evaluation and Refinement for Real-World Super-resolution |
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5 |
| Joint Demosaicing and Denoising for Spike Camera |
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4 |
| Joint Learning Neuronal Skeleton and Brain Circuit Topology with Permutation Invariant Encoders for Neuron Classification |
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5 |
| Jointly Improving the Sample and Communication Complexities in Decentralized Stochastic Minimax Optimization |
✅ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
5 |
| Jointly Modeling Spatio-Temporal Features of Tactile Signals for Action Classification |
❌ |
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✅ |
✅ |
✅ |
6 |
| Journey to the Center of the Knowledge Neurons: Discoveries of Language-Independent Knowledge Neurons and Degenerate Knowledge Neurons |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
❌ |
3 |
| KAM-CoT: Knowledge Augmented Multimodal Chain-of-Thoughts Reasoning |
✅ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| KD-Club: An Efficient Exact Algorithm with New Coloring-Based Upper Bound for the Maximum k-Defective Clique Problem |
✅ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
5 |
| KG-TREAT: Pre-training for Treatment Effect Estimation by Synergizing Patient Data with Knowledge Graphs |
✅ |
✅ |
❌ |
✅ |
❌ |
❌ |
✅ |
4 |
| KGDM: A Diffusion Model to Capture Multiple Relation Semantics for Knowledge Graph Embedding |
✅ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
6 |
| KGTS: Contrastive Trajectory Similarity Learning over Prompt Knowledge Graph Embedding |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| KPA-Tracker: Towards Robust and Real-Time Category-Level Articulated Object 6D Pose Tracking |
✅ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
5 |
| KeDuSR: Real-World Dual-Lens Super-Resolution via Kernel-Free Matching |
❌ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Keep the Faith: Faithful Explanations in Convolutional Neural Networks for Case-Based Reasoning |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
❌ |
2 |
| Kernelized Normalizing Constant Estimation: Bridging Bayesian Quadrature and Bayesian Optimization |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Keypoint Fusion for RGB-D Based 3D Hand Pose Estimation |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Knowledge Enhanced Representation Learning for Drug Discovery |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Knowledge Graph Error Detection with Contrastive Confidence Adaption |
❌ |
✅ |
✅ |
❌ |
✅ |
❌ |
❌ |
3 |
| Knowledge Graph Prompting for Multi-Document Question Answering |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
❌ |
3 |
| Knowledge Guided Semi-supervised Learning for Quality Assessment of User Generated Videos |
❌ |
✅ |
✅ |
❌ |
✅ |
✅ |
✅ |
5 |
| Knowledge-Aware Explainable Reciprocal Recommendation |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Knowledge-Aware Neuron Interpretation for Scene Classification |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
❌ |
2 |
| Knowledge-Aware Parameter Coaching for Personalized Federated Learning |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Knowledge-Enhanced Historical Document Segmentation and Recognition |
✅ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
5 |
| Kumaraswamy Wavelet for Heterophilic Scene Graph Generation |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| LAFA: Multimodal Knowledge Graph Completion with Link Aware Fusion and Aggregation |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| LAMM: Label Alignment for Multi-Modal Prompt Learning |
❌ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| LAMPAT: Low-Rank Adaption for Multilingual Paraphrasing Using Adversarial Training |
✅ |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
4 |
| LDMVFI: Video Frame Interpolation with Latent Diffusion Models |
❌ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| LDS2AE: Local Diffusion Shared-Specific Autoencoder for Multimodal Remote Sensing Image Classification with Arbitrary Missing Modalities |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
4 |
| LERE: Learning-Based Low-Rank Matrix Recovery with Rank Estimation |
✅ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
5 |
| LF-ViT: Reducing Spatial Redundancy in Vision Transformer for Efficient Image Recognition |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| LGMRec: Local and Global Graph Learning for Multimodal Recommendation |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| LINGO-Space: Language-Conditioned Incremental Grounding for Space |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
❌ |
2 |
| LION: Implicit Vision Prompt Tuning |
❌ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
3 |
| LISR: Learning Linear 3D Implicit Surface Representation Using Compactly Supported Radial Basis Functions |
✅ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
5 |
| LLM vs Small Model? Large Language Model Based Text Augmentation Enhanced Personality Detection Model |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| LLMEval: A Preliminary Study on How to Evaluate Large Language Models |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
❌ |
1 |
| LLMRG: Improving Recommendations through Large Language Model Reasoning Graphs |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
❌ |
1 |
| LMD: Faster Image Reconstruction with Latent Masking Diffusion |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| LRANet: Towards Accurate and Efficient Scene Text Detection with Low-Rank Approximation Network |
❌ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| LRS: Enhancing Adversarial Transferability through Lipschitz Regularized Surrogate |
✅ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
6 |
| LSTKC: Long Short-Term Knowledge Consolidation for Lifelong Person Re-identification |
❌ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
3 |
| LaViP: Language-Grounded Visual Prompting |
✅ |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
4 |
| Label Attentive Distillation for GNN-Based Graph Classification |
✅ |
✅ |
✅ |
✅ |
✅ |
✅ |
✅ |
7 |
| Label-Efficient Few-Shot Semantic Segmentation with Unsupervised Meta-Training |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Labels Need Prompts Too: Mask Matching for Natural Language Understanding Tasks |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| LaneGraph2Seq: Lane Topology Extraction with Language Model via Vertex-Edge Encoding and Connectivity Enhancement |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Language-Guided Transformer for Federated Multi-Label Classification |
✅ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
5 |
| Large Language Models Are Clinical Reasoners: Reasoning-Aware Diagnosis Framework with Prompt-Generated Rationales |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Large Language Models Are Neurosymbolic Reasoners |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Large Occluded Human Image Completion via Image-Prior Cooperating |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Large-Scale Multi-Robot Coverage Path Planning via Local Search |
✅ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
5 |
| Large-Scale Non-convex Stochastic Constrained Distributionally Robust Optimization |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Latent Diffusion Transformer for Probabilistic Time Series Forecasting |
✅ |
❌ |
✅ |
❌ |
❌ |
✅ |
✅ |
4 |
| Latent Space Editing in Transformer-Based Flow Matching |
✅ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
5 |
| LatestEval: Addressing Data Contamination in Language Model Evaluation through Dynamic and Time-Sensitive Test Construction |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
❌ |
2 |
| Layer Collaboration in the Forward-Forward Algorithm |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
❌ |
2 |
| Layer Compression of Deep Networks with Straight Flows |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Layer-Wise Representation Fusion for Compositional Generalization |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Learn How to See: Collaborative Embodied Learning for Object Detection and Camera Adjusting |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
❌ |
2 |
| Learn the Force We Can: Enabling Sparse Motion Control in Multi-Object Video Generation |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Learn to Follow: Decentralized Lifelong Multi-Agent Pathfinding via Planning and Learning |
❌ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Learning Accurate and Bidirectional Transformation via Dynamic Embedding Transportation for Cross-Domain Recommendation |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Learning Bayesian Network Classifiers to Minimize the Class Variable Parameters |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| Learning Broadcast Protocols |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Learning Cluster-Wise Anchors for Multi-View Clustering |
✅ |
❌ |
✅ |
❌ |
✅ |
✅ |
✅ |
5 |
| Learning Coalition Structures with Games |
✅ |
✅ |
❌ |
❌ |
✅ |
❌ |
✅ |
4 |
| Learning Content-Enhanced Mask Transformer for Domain Generalized Urban-Scene Segmentation |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Learning Continuous Implicit Field with Local Distance Indicator for Arbitrary-Scale Point Cloud Upsampling |
❌ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Learning Deformable Hypothesis Sampling for Accurate PatchMatch Multi-View Stereo |
✅ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
5 |
| Learning Dense Correspondence for NeRF-Based Face Reenactment |
❌ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
3 |
| Learning Diffusions under Uncertainty |
❌ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Learning Discrete-Time Major-Minor Mean Field Games |
✅ |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
2 |
| Learning Discriminative Noise Guidance for Image Forgery Detection and Localization |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Learning Diverse Risk Preferences in Population-Based Self-Play |
✅ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
5 |
| Learning Domain-Independent Heuristics for Grounded and Lifted Planning |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Learning Efficient and Robust Multi-Agent Communication via Graph Information Bottleneck |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Learning Encodings for Constructive Neural Combinatorial Optimization Needs to Regret |
❌ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Learning Explicit Contact for Implicit Reconstruction of Hand-Held Objects from Monocular Images |
❌ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Learning GAI-Decomposable Utility Models for Multiattribute Decision Making |
❌ |
❌ |
✅ |
✅ |
✅ |
✅ |
✅ |
5 |
| Learning Generalized Medical Image Segmentation from Decoupled Feature Queries |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Learning Generalized Segmentation for Foggy-Scenes by Bi-directional Wavelet Guidance |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Learning Hierarchical Prompt with Structured Linguistic Knowledge for Vision-Language Models |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Learning Hybrid Dynamics Models with Simulator-Informed Latent States |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Learning Image Demoiréing from Unpaired Real Data |
❌ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Learning Invariant Inter-pixel Correlations for Superpixel Generation |
✅ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
5 |
| Learning MDL Logic Programs from Noisy Data |
✅ |
✅ |
✅ |
❌ |
✅ |
❌ |
❌ |
4 |
| Learning Multi-Modal Cross-Scale Deformable Transformer Network for Unregistered Hyperspectral Image Super-resolution |
❌ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Learning Multi-Object Positional Relationships via Emergent Communication |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
1 |
| Learning Multi-Scale Video-Text Correspondence for Weakly Supervised Temporal Article Gronding |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Learning Multi-Task Sparse Representation Based on Fisher Information |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
❌ |
2 |
| Learning Multimodal Volumetric Features for Large-Scale Neuron Tracing |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Learning Not to Regret |
✅ |
✅ |
❌ |
❌ |
❌ |
❌ |
✅ |
3 |
| Learning Only When It Matters: Cost-Aware Long-Tailed Classification |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
4 |
| Learning Optimal Advantage from Preferences and Mistaking It for Reward |
✅ |
✅ |
❌ |
❌ |
❌ |
❌ |
✅ |
3 |
| Learning Performance Maximizing Ensembles with Explainability Guarantees |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Learning Persistent Community Structures in Dynamic Networks via Topological Data Analysis |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
4 |
| Learning Planning Domains from Non-redundant Fully-Observed Traces: Theoretical Foundations and Complexity Analysis |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Learning Real-World Image De-weathering with Imperfect Supervision |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Learning Reduced Fluid Dynamics |
❌ |
❌ |
❌ |
❌ |
✅ |
❌ |
✅ |
2 |
| Learning Representations on the Unit Sphere: Investigating Angular Gaussian and Von Mises-Fisher Distributions for Online Continual Learning |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
4 |
| Learning Robust Rationales for Model Explainability: A Guidance-Based Approach |
❌ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Learning Safe Action Models with Partial Observability |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
4 |
| Learning Small Decision Trees for Data of Low Rank-Width |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Learning Small Decision Trees with Few Outliers: A Parameterized Perspective |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Learning Spatially Collaged Fourier Bases for Implicit Neural Representation |
❌ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
3 |
| Learning Subject-Aware Cropping by Outpainting Professional Photos |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
3 |
| Learning Task-Aware Language-Image Representation for Class-Incremental Object Detection |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| Learning Temporal Resolution in Spectrogram for Audio Classification |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Learning Time Slot Preferences via Mobility Tree for Next POI Recommendation |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Learning Ultrametric Trees for Optimal Transport Regression |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
❌ |
3 |
| Learning Uncertainty-Aware Temporally-Extended Actions |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Learning Visual Abstract Reasoning through Dual-Stream Networks |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Learning by Erasing: Conditional Entropy Based Transferable Out-of-Distribution Detection |
✅ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Learning from Ambiguous Demonstrations with Self-Explanation Guided Reinforcement Learning |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
4 |
| Learning from Failure: Improving Meeting Summarization without Good Samples |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
❌ |
1 |
| Learning from History: Task-agnostic Model Contrastive Learning for Image Restoration |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Learning from Polar Representation: An Extreme-Adaptive Model for Long-Term Time Series Forecasting |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Learning in Online Principal-Agent Interactions: The Power of Menus |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| Learning the Causal Structure of Networked Dynamical Systems under Latent Nodes and Structured Noise |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Learning the Topology and Behavior of Discrete Dynamical Systems |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| Learning to Approximate Adaptive Kernel Convolution on Graphs |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Learning to Learn Better Visual Prompts |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Learning to Learn in Interactive Constraint Acquisition |
✅ |
✅ |
❌ |
✅ |
✅ |
❌ |
✅ |
5 |
| Learning to Manipulate Artistic Images |
❌ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Learning to Optimize Permutation Flow Shop Scheduling via Graph-Based Imitation Learning |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Learning to Pivot as a Smart Expert |
❌ |
❌ |
✅ |
✅ |
✅ |
✅ |
✅ |
5 |
| Learning to Prompt Knowledge Transfer for Open-World Continual Learning |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
❌ |
2 |
| Learning to Rank in Generative Retrieval |
❌ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Learning to Reweight for Generalizable Graph Neural Network |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
2 |
| Learning to Stop Cut Generation for Efficient Mixed-Integer Linear Programming |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
❌ |
1 |
| Learning to Unlearn: Instance-Wise Unlearning for Pre-trained Classifiers |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Learning with Noisy Labels Using Hyperspherical Margin Weighting |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Learning-Augmented Online Algorithm for Two-Level Ski-Rental Problem |
✅ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
5 |
| Leaving the Nest: Going beyond Local Loss Functions for Predict-Then-Optimize |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Less Is More: Label Recommendation for Weakly Supervised Point Cloud Semantic Segmentation |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| Let All Be Whitened: Multi-Teacher Distillation for Efficient Visual Retrieval |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
❌ |
2 |
| Let There Be Sound: Reconstructing High Quality Speech from Silent Videos |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| Levenshtein Distance Embedding with Poisson Regression for DNA Storage |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
❌ |
1 |
| Leveraging Diffusion Perturbations for Measuring Fairness in Computer Vision |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
❌ |
1 |
| Leveraging Imagery Data with Spatial Point Prior for Weakly Semi-supervised 3D Object Detection |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| Leveraging Local Variance for Pseudo-Label Selection in Semi-supervised Learning |
✅ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Leveraging Normalization Layer in Adapters with Progressive Learning and Adaptive Distillation for Cross-Domain Few-Shot Learning |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Leveraging Partial Symmetry for Multi-Agent Reinforcement Learning |
❌ |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| Liberating Seen Classes: Boosting Few-Shot and Zero-Shot Text Classification via Anchor Generation and Classification Reframing |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Lifting by Image – Leveraging Image Cues for Accurate 3D Human Pose Estimation |
❌ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
3 |
| LimeAttack: Local Explainable Method for Textual Hard-Label Adversarial Attack |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Limitations of Face Image Generation |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Limited Memory Online Gradient Descent for Kernelized Pairwise Learning with Dynamic Averaging |
✅ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Limited Query Graph Connectivity Test |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Limited-Supervised Multi-Label Learning with Dependency Noise |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Linear-Time Algorithms for Front-Door Adjustment in Causal Graphs |
✅ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
5 |
| Linear-Time Verification of Data-Aware Processes Modulo Theories via Covers and Automata |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
❌ |
2 |
| Link Prediction in Multilayer Networks via Cross-Network Embedding |
✅ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Live and Learn: Continual Action Clustering with Incremental Views |
✅ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Local-Global Multi-Modal Distillation for Weakly-Supervised Temporal Video Grounding |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Locality Preserving Refinement for Shape Matching with Functional Maps |
✅ |
✅ |
✅ |
❌ |
✅ |
✅ |
✅ |
6 |
| Locally Rainbow Paths |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| LogFormer: A Pre-train and Tuning Pipeline for Log Anomaly Detection |
❌ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| LogoStyleFool: Vitiating Video Recognition Systems via Logo Style Transfer |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
4 |
| Long-Tailed Learning as Multi-Objective Optimization |
✅ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
6 |
| Long-Tailed Partial Label Learning by Head Classifier and Tail Classifier Cooperation |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
4 |
| Lost Domain Generalization Is a Natural Consequence of Lack of Training Domains |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Low Category Uncertainty and High Training Potential Instance Learning for Unsupervised Domain Adaptation |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
4 |
| Low-Distortion Clustering with Ordinal and Limited Cardinal Information |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| Low-Latency Space-Time Supersampling for Real-Time Rendering |
❌ |
❌ |
❌ |
❌ |
✅ |
❌ |
✅ |
2 |
| Low-Light Face Super-resolution via Illumination, Structure, and Texture Associated Representation |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Low-Rank Kernel Tensor Learning for Incomplete Multi-View Clustering |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Lyapunov-Stable Deep Equilibrium Models |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| M-BEV: Masked BEV Perception for Robust Autonomous Driving |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| M2Doc: A Multi-Modal Fusion Approach for Document Layout Analysis |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| M2SD:Multiple Mixing Self-Distillation for Few-Shot Class-Incremental Learning |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| M3D: Dataset Condensation by Minimizing Maximum Mean Discrepancy |
✅ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
5 |
| M3SOT: Multi-Frame, Multi-Field, Multi-Space 3D Single Object Tracking |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| MA-Net: Rethinking Neural Unit in the Light of Astrocytes |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
4 |
| MAPTree: Beating “Optimal” Decision Trees with Bayesian Decision Trees |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
4 |
| MASTER: Market-Guided Stock Transformer for Stock Price Forecasting |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| MCA: Moment Channel Attention Networks |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
✅ |
5 |
| MCL-NER: Cross-Lingual Named Entity Recognition via Multi-View Contrastive Learning |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| MCSSME: Multi-Task Contrastive Learning for Semi-supervised Singing Melody Extraction from Polyphonic Music |
❌ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
3 |
| MDFL: Multi-Domain Diffusion-Driven Feature Learning |
❌ |
✅ |
✅ |
❌ |
✅ |
❌ |
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4 |
| MDGNN: Multi-Relational Dynamic Graph Neural Network for Comprehensive and Dynamic Stock Investment Prediction |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
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4 |
| MELO: Enhancing Model Editing with Neuron-Indexed Dynamic LoRA |
❌ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| MEPSI: An MDL-Based Ensemble Pruning Approach with Structural Information |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| MERGE: Fast Private Text Generation |
❌ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| MESED: A Multi-Modal Entity Set Expansion Dataset with Fine-Grained Semantic Classes and Hard Negative Entities |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
❌ |
2 |
| MFABA: A More Faithful and Accelerated Boundary-Based Attribution Method for Deep Neural Networks |
❌ |
✅ |
✅ |
❌ |
✅ |
❌ |
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4 |
| MFOS: Model-Free & One-Shot Object Pose Estimation |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
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4 |
| MFTN: Multi-Level Feature Transfer Network Based on MRI-Transformer for MR Image Super-resolution |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
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4 |
| MGNet: Learning Correspondences via Multiple Graphs |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
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5 |
| MGQFormer: Mask-Guided Query-Based Transformer for Image Manipulation Localization |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
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4 |
| MICA: Towards Explainable Skin Lesion Diagnosis via Multi-Level Image-Concept Alignment |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| MID-FiLD: MIDI Dataset for Fine-Level Dynamics |
❌ |
❌ |
❌ |
✅ |
❌ |
❌ |
✅ |
2 |
| MIND: Multi-Task Incremental Network Distillation |
❌ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| MINES: Message Intercommunication for Inductive Relation Reasoning over Neighbor-Enhanced Subgraphs |
❌ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
3 |
| MKG-FENN: A Multimodal Knowledge Graph Fused End-to-End Neural Network for Accurate Drug–Drug Interaction Prediction |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| MLNet: Mutual Learning Network with Neighborhood Invariance for Universal Domain Adaptation |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| MM-Point: Multi-View Information-Enhanced Multi-Modal Self-Supervised 3D Point Cloud Understanding |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| MM-TTS: Multi-Modal Prompt Based Style Transfer for Expressive Text-to-Speech Synthesis |
❌ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
3 |
| MSGNet: Learning Multi-Scale Inter-series Correlations for Multivariate Time Series Forecasting |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| MULTISCRIPT: Multimodal Script Learning for Supporting Open Domain Everyday Tasks |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
3 |
| MWSIS: Multimodal Weakly Supervised Instance Segmentation with 2D Box Annotations for Autonomous Driving |
✅ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
6 |
| Machine Learning-Powered Combinatorial Clock Auction |
✅ |
✅ |
✅ |
✅ |
✅ |
✅ |
✅ |
7 |
| Machine-Created Universal Language for Cross-Lingual Transfer |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| MagiCapture: High-Resolution Multi-Concept Portrait Customization |
❌ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
3 |
| Make Lossy Compression Meaningful for Low-Light Images |
❌ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Make Prompts Adaptable: Bayesian Modeling for Vision-Language Prompt Learning with Data-Dependent Prior |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
4 |
| Make RepVGG Greater Again: A Quantization-Aware Approach |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
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4 |
| Manifold Constraints for Imperceptible Adversarial Attacks on Point Clouds |
❌ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
3 |
| Manifold-Based Verbalizer Space Re-embedding for Tuning-Free Prompt-Based Classification |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
3 |
| Manipulation-Robust Selection of Citizens’ Assemblies |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Market-GAN: Adding Control to Financial Market Data Generation with Semantic Context |
✅ |
❌ |
❌ |
❌ |
✅ |
❌ |
✅ |
3 |
| Mask-Homo: Pseudo Plane Mask-Guided Unsupervised Multi-Homography Estimation |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
4 |
| MaskDiff: Modeling Mask Distribution with Diffusion Probabilistic Model for Few-Shot Instance Segmentation |
✅ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
6 |
| Mastering Context-to-Label Representation Transformation for Event Causality Identification with Diffusion Models |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| MatchDet: A Collaborative Framework for Image Matching and Object Detection |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| MathAttack: Attacking Large Language Models towards Math Solving Ability |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Maxileximin Envy Allocations and Connected Goods |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| Maximizing Nash Social Welfare under Two-Sided Preferences |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Maximizing the Success Probability of Policy Allocations in Online Systems |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
4 |
| MeDM: Mediating Image Diffusion Models for Video-to-Video Translation with Temporal Correspondence Guidance |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
4 |
| Mean Teacher DETR with Masked Feature Alignment: A Robust Domain Adaptive Detection Transformer Framework |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| Measuring Self-Supervised Representation Quality for Downstream Classification Using Discriminative Features |
❌ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
3 |
| Measuring Task Similarity and Its Implication in Fine-Tuning Graph Neural Networks |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| MedBench: A Large-Scale Chinese Benchmark for Evaluating Medical Large Language Models |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
1 |
| MedSegDiff-V2: Diffusion-Based Medical Image Segmentation with Transformer |
❌ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Memory Asymmetry Creates Heteroclinic Orbits to Nash Equilibrium in Learning in Zero-Sum Games |
✅ |
✅ |
❌ |
❌ |
❌ |
❌ |
✅ |
3 |
| Memory-Efficient Prompt Tuning for Incremental Histopathology Classification |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Memory-Efficient Reversible Spiking Neural Networks |
❌ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
3 |
| MemoryBank: Enhancing Large Language Models with Long-Term Memory |
❌ |
❌ |
✅ |
❌ |
✅ |
❌ |
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3 |
| Meta-Inverse Reinforcement Learning for Mean Field Games via Probabilistic Context Variables |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
❌ |
2 |
| Meta-Learning-Based Adaptive Stability Certificates for Dynamical Systems |
✅ |
✅ |
❌ |
❌ |
❌ |
❌ |
✅ |
3 |
| Meta-Reinforcement Learning via Exploratory Task Clustering |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| MetaCARD: Meta-Reinforcement Learning with Task Uncertainty Feedback via Decoupled Context-Aware Reward and Dynamics Components |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
❌ |
2 |
| MetaDiff: Meta-Learning with Conditional Diffusion for Few-Shot Learning |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| MetaMix: Meta-State Precision Searcher for Mixed-Precision Activation Quantization |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| MetaRLEC: Meta-Reinforcement Learning for Discovery of Brain Effective Connectivity |
✅ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
5 |
| Mimic: Speaking Style Disentanglement for Speech-Driven 3D Facial Animation |
❌ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| MindMap: Constructing Evidence Chains for Multi-Step Reasoning in Large Language Models |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Minibatch Stochastic Three Points Method for Unconstrained Smooth Minimization |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
4 |
| Minimal Macro-Based Rewritings of Formal Languages: Theory and Applications in Ontology Engineering (and Beyond) |
❌ |
✅ |
✅ |
❌ |
✅ |
✅ |
✅ |
5 |
| Minimum Coverage Sets for Training Robust Ad Hoc Teamwork Agents |
✅ |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
2 |
| Mining Fine-Grained Image-Text Alignment for Zero-Shot Captioning via Text-Only Training |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Mining Gaze for Contrastive Learning toward Computer-Assisted Diagnosis |
❌ |
✅ |
✅ |
✅ |
✅ |
✅ |
✅ |
6 |
| Mitigating Idiom Inconsistency: A Multi-Semantic Contrastive Learning Method for Chinese Idiom Reading Comprehension |
❌ |
✅ |
✅ |
✅ |
✅ |
✅ |
✅ |
6 |
| Mitigating Label Bias in Machine Learning: Fairness through Confident Learning |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Mitigating Label Noise through Data Ambiguation |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
❌ |
2 |
| Mitigating Large Language Model Hallucinations via Autonomous Knowledge Graph-Based Retrofitting |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
2 |
| Mitigating the Impact of False Negative in Dense Retrieval with Contrastive Confidence Regularization |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
4 |
| Mixed Geometry Message and Trainable Convolutional Attention Network for Knowledge Graph Completion |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| Mixed-Effects Contextual Bandits |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Mixup-Induced Domain Extrapolation for Domain Generalization |
✅ |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
4 |
| MmAP: Multi-Modal Alignment Prompt for Cross-Domain Multi-Task Learning |
❌ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
3 |
| MoDE: A Mixture-of-Experts Model with Mutual Distillation among the Experts |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| MobileInst: Video Instance Segmentation on the Mobile |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| ModWaveMLP: MLP-Based Mode Decomposition and Wavelet Denoising Model to Defeat Complex Structures in Traffic Forecasting |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Model Counting and Sampling via Semiring Extensions |
❌ |
✅ |
✅ |
❌ |
✅ |
✅ |
❌ |
4 |
| Model-Driven Deep Neural Network for Enhanced AoA Estimation Using 5G gNB |
✅ |
❌ |
❌ |
✅ |
✅ |
❌ |
✅ |
4 |
| Modeling Adaptive Inter-Task Feature Interactions via Sentiment-Aware Contrastive Learning for Joint Aspect-Sentiment Prediction |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Modeling Continuous Motion for 3D Point Cloud Object Tracking |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| Modeling Knowledge Graphs with Composite Reasoning |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
❌ |
2 |
| Modeling Stereo-Confidence out of the End-to-End Stereo-Matching Network via Disparity Plane Sweep |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| MolTailor: Tailoring Chemical Molecular Representation to Specific Tasks via Text Prompts |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Molecular Optimization Model with Patentability Constraint |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
4 |
| Mono3DVG: 3D Visual Grounding in Monocular Images |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| Monocular 3D Hand Mesh Recovery via Dual Noise Estimation |
❌ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Monte Carlo Tree Search in the Presence of Transition Uncertainty |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
4 |
| Moral Uncertainty and the Problem of Fanaticism |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| MorphVAE: Advancing Morphological Design of Voxel-Based Soft Robots with Variational Autoencoders |
✅ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
5 |
| Motif-Aware Riemannian Graph Neural Network with Generative-Contrastive Learning |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
4 |
| Motion Deblurring via Spatial-Temporal Collaboration of Frames and Events |
❌ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| MotionGPT: Finetuned LLMs Are General-Purpose Motion Generators |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
3 |
| MotionMix: Weakly-Supervised Diffusion for Controllable Motion Generation |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| MuLTI: Efficient Video-and-Language Understanding with Text-Guided MultiWay-Sampler and Multiple Choice Modeling |
❌ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
3 |
| MuST: Robust Image Watermarking for Multi-Source Tracing |
❌ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Multi-Architecture Multi-Expert Diffusion Models |
❌ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
3 |
| Multi-Class Support Vector Machine with Maximizing Minimum Margin |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Multi-Constellation-Inspired Single-Shot Global LiDAR Localization |
✅ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
5 |
| Multi-Cross Sampling and Frequency-Division Reconstruction for Image Compressed Sensing |
❌ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Multi-Dimensional Fair Federated Learning |
✅ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Multi-Domain Deep Learning from a Multi-View Perspective for Cross-Border E-commerce Search |
❌ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
3 |
| Multi-Domain Incremental Learning for Face Presentation Attack Detection |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Multi-Domain Multi-Scale Diffusion Model for Low-Light Image Enhancement |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
4 |
| Multi-Domain Recommendation to Attract Users via Domain Preference Modeling |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
❌ |
1 |
| Multi-Energy Guided Image Translation with Stochastic Differential Equations for Near-Infrared Facial Expression Recognition |
❌ |
❌ |
✅ |
❌ |
✅ |
✅ |
✅ |
4 |
| Multi-Granularity Causal Structure Learning |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
4 |
| Multi-Label Supervised Contrastive Learning |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Multi-Level Cross-Modal Alignment for Image Clustering |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
❌ |
1 |
| Multi-Modal Disordered Representation Learning Network for Description-Based Person Search |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Multi-Modal Latent Space Learning for Chain-of-Thought Reasoning in Language Models |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
❌ |
2 |
| Multi-Modal Prompting for Open-Vocabulary Video Visual Relationship Detection |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Multi-Modality Affinity Inference for Weakly Supervised 3D Semantic Segmentation |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Multi-Objective Bayesian Optimization with Active Preference Learning |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Multi-Prompts Learning with Cross-Modal Alignment for Attribute-Based Person Re-identification |
❌ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Multi-Prototype Space Learning for Commonsense-Based Scene Graph Generation |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Multi-Region Text-Driven Manipulation of Diffusion Imagery |
✅ |
✅ |
❌ |
❌ |
✅ |
❌ |
✅ |
4 |
| Multi-Scene Generalized Trajectory Global Graph Solver with Composite Nodes for Multiple Object Tracking |
✅ |
❌ |
✅ |
✅ |
✅ |
✅ |
✅ |
6 |
| Multi-Source Collaborative Gradient Discrepancy Minimization for Federated Domain Generalization |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| Multi-Step Denoising Scheduled Sampling: Towards Alleviating Exposure Bias for Diffusion Models |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Multi-View Dynamic Reflection Prior for Video Glass Surface Detection |
❌ |
❌ |
❌ |
❌ |
✅ |
❌ |
✅ |
2 |
| Multi-View People Detection in Large Scenes via Supervised View-Wise Contribution Weighting |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Multi-View Randomized Kernel Classification via Nonconvex Optimization |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| MultiSum: A Multi-Facet Approach for Extractive Social Summarization Utilizing Semantic and Sociological Relationships |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Multiagent Gumbel MuZero: Efficient Planning in Combinatorial Action Spaces |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
4 |
| Multichannel AV-wav2vec2: A Framework for Learning Multichannel Multi-Modal Speech Representation |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Multilevel Attention Network with Semi-supervised Domain Adaptation for Drug-Target Prediction |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Multimodal Event Causality Reasoning with Scene Graph Enhanced Interaction Network |
✅ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Multimodal Graph Neural Architecture Search under Distribution Shifts |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
1 |
| Multiobjective Lipschitz Bandits under Lexicographic Ordering |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
2 |
| Multiple Hypothesis Dropout: Estimating the Parameters of Multi-Modal Output Distributions |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Multiscale Attention Wavelet Neural Operator for Capturing Steep Trajectories in Biochemical Systems |
❌ |
✅ |
❌ |
❌ |
❌ |
❌ |
✅ |
2 |
| Multiscale Low-Frequency Memory Network for Improved Feature Extraction in Convolutional Neural Networks |
❌ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Multitarget Device-Free Localization via Cross-Domain Wi-Fi RSS Training Data and Attentional Prior Fusion |
❌ |
❌ |
❌ |
✅ |
✅ |
❌ |
✅ |
3 |
| MusER: Musical Element-Based Regularization for Generating Symbolic Music with Emotion |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Music Style Transfer with Time-Varying Inversion of Diffusion Models |
❌ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Mutual-Modality Adversarial Attack with Semantic Perturbation |
❌ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
3 |
| N-gram Unsupervised Compoundation and Feature Injection for Better Symbolic Music Understanding |
✅ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| ND-MRM: Neuronal Diversity Inspired Multisensory Recognition Model |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| NESTER: An Adaptive Neurosymbolic Method for Causal Effect Estimation |
✅ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
5 |
| NILUT: Conditional Neural Implicit 3D Lookup Tables for Image Enhancement |
❌ |
✅ |
❌ |
❌ |
❌ |
❌ |
✅ |
2 |
| NN-Steiner: A Mixed Neural-Algorithmic Approach for the Rectilinear Steiner Minimum Tree Problem |
❌ |
✅ |
❌ |
❌ |
✅ |
❌ |
✅ |
3 |
| NaMa: Neighbor-Aware Multi-Modal Adaptive Learning for Prostate Tumor Segmentation on Anisotropic MR Images |
❌ |
❌ |
❌ |
✅ |
✅ |
❌ |
✅ |
3 |
| NaRuto: Automatically Acquiring Planning Models from Narrative Texts |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Narrowing the Gap between Supervised and Unsupervised Sentence Representation Learning with Large Language Model |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Natural Strategic Ability in Stochastic Multi-Agent Systems |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| NavGPT: Explicit Reasoning in Vision-and-Language Navigation with Large Language Models |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Navigating Open Set Scenarios for Skeleton-Based Action Recognition |
❌ |
✅ |
✅ |
✅ |
✅ |
✅ |
✅ |
6 |
| Navigating Real-World Partial Label Learning: Unveiling Fine-Grained Images with Attributes |
❌ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
3 |
| NeBLa: Neural Beer-Lambert for 3D Reconstruction of Oral Structures from Panoramic Radiographs |
❌ |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
2 |
| NeRF-LiDAR: Generating Realistic LiDAR Point Clouds with Neural Radiance Fields |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| NeRF-VPT: Learning Novel View Representations with Neural Radiance Fields via View Prompt Tuning |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| NeSyFOLD: A Framework for Interpretable Image Classification |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Near-Optimal Resilient Aggregation Rules for Distributed Learning Using 1-Center and 1-Mean Clustering with Outliers |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
4 |
| Nearly Equitable Allocations beyond Additivity and Monotonicity |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| NegVSR: Augmenting Negatives for Generalized Noise Modeling in Real-world Video Super-Resolution |
✅ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
5 |
| Negative Pre-aware for Noisy Cross-Modal Matching |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Neighborhood-Enhanced 3D Human Pose Estimation with Monocular LiDAR in Long-Range Outdoor Scenes |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| NestE: Modeling Nested Relational Structures for Knowledge Graph Reasoning |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| NeuSurf: On-Surface Priors for Neural Surface Reconstruction from Sparse Input Views |
❌ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
3 |
| Neural Amortized Inference for Nested Multi-Agent Reasoning |
❌ |
✅ |
❌ |
❌ |
❌ |
❌ |
✅ |
2 |
| Neural Causal Abstractions |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
❌ |
3 |
| Neural Embeddings for kNN Search in Biological Sequence |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
3 |
| Neural Gaussian Similarity Modeling for Differential Graph Structure Learning |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Neural Network Approximation for Pessimistic Offline Reinforcement Learning |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Neural Network Approximators for Marginal MAP in Probabilistic Circuits |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| Neural Oscillators for Generalization of Physics-Informed Machine Learning |
❌ |
✅ |
✅ |
❌ |
✅ |
✅ |
✅ |
5 |
| Neural Physical Simulation with Multi-Resolution Hash Grid Encoding |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Neural Reasoning about Agents’ Goals, Preferences, and Actions |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Neural Time-Reversed Generalized Riccati Equation |
❌ |
❌ |
❌ |
❌ |
✅ |
✅ |
✅ |
3 |
| Neuromorphic Event Signal-Driven Network for Video De-raining |
✅ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| New Classes of the Greedy-Applicable Arm Feature Distributions in the Sparse Linear Bandit Problem |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| NightRain: Nighttime Video Deraining via Adaptive-Rain-Removal and Adaptive-Correction |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| No Head Left Behind – Multi-Head Alignment Distillation for Transformers |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| No Internal Regret with Non-convex Loss Functions |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| No More Shortcuts: Realizing the Potential of Temporal Self-Supervision |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| No Prejudice! Fair Federated Graph Neural Networks for Personalized Recommendation |
✅ |
✅ |
✅ |
✅ |
✅ |
✅ |
✅ |
7 |
| No Prior Mask: Eliminate Redundant Action for Deep Reinforcement Learning |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
4 |
| NodeMixup: Tackling Under-Reaching for Graph Neural Networks |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Noise-Aware Image Captioning with Progressively Exploring Mismatched Words |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Noise-Free Optimization in Early Training Steps for Image Super-resolution |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Noisy Correspondence Learning with Self-Reinforcing Errors Mitigation |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| Non-excludable Bilateral Trade between Groups |
✅ |
✅ |
❌ |
❌ |
❌ |
❌ |
✅ |
3 |
| Non-exemplar Domain Incremental Object Detection via Learning Domain Bias |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Non-exemplar Online Class-Incremental Continual Learning via Dual-Prototype Self-Augment and Refinement |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Non-flat ABA Is an Instance of Bipolar Argumentation |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Non-monotone Sequential Submodular Maximization |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Non-parametric Representation Learning with Kernels |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Non-stationary Projection-Free Online Learning with Dynamic and Adaptive Regret Guarantees |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| NondBREM: Nondeterministic Offline Reinforcement Learning for Large-Scale Order Dispatching |
✅ |
❌ |
❌ |
❌ |
✅ |
✅ |
✅ |
4 |
| Norm Tweaking: High-Performance Low-Bit Quantization of Large Language Models |
✅ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Not All Tasks Are Equally Difficult: Multi-Task Deep Reinforcement Learning with Dynamic Depth Routing |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Novel Class Discovery in Chest X-rays via Paired Images and Text |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Novelty vs. Potential Heuristics: A Comparison of Hardness Measures for Satisficing Planning |
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| NuScenes-QA: A Multi-Modal Visual Question Answering Benchmark for Autonomous Driving Scenario |
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4 |
| Null Space Matters: Range-Null Decomposition for Consistent Multi-Contrast MRI Reconstruction |
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4 |
| OCEAN-MBRL: Offline Conservative Exploration for Model-Based Offline Reinforcement Learning |
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3 |
| ODTrack: Online Dense Temporal Token Learning for Visual Tracking |
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| OSFFNet: Omni-Stage Feature Fusion Network for Lightweight Image Super-Resolution |
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| OVD-Explorer: Optimism Should Not Be the Sole Pursuit of Exploration in Noisy Environments |
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| OWQ: Outlier-Aware Weight Quantization for Efficient Fine-Tuning and Inference of Large Language Models |
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5 |
| O^2-Recon: Completing 3D Reconstruction of Occluded Objects in the Scene with a Pre-trained 2D Diffusion Model |
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4 |
| Object Attribute Matters in Visual Question Answering |
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| Object-Aware Adaptive-Positivity Learning for Audio-Visual Question Answering |
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4 |
| Object-Aware Domain Generalization for Object Detection |
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3 |
| Occluded Person Re-identification via Saliency-Guided Patch Transfer |
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4 |
| OctOcc: High-Resolution 3D Occupancy Prediction with Octree |
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3 |
| Offline Model-Based Optimization via Policy-Guided Gradient Search |
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4 |
| Offline and Online Optical Flow Enhancement for Deep Video Compression |
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4 |
| Omni-Kernel Network for Image Restoration |
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3 |
| Omnidirectional Image Super-resolution via Bi-projection Fusion |
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3 |
| Omnipotent Distillation with LLMs for Weakly-Supervised Natural Language Video Localization: When Divergence Meets Consistency |
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2 |
| On Alternating-Time Temporal Logic, Hyperproperties, and Strategy Sharing |
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4 |
| On Computing Makespan-Optimal Solutions for Generalized Sliding-Tile Puzzles |
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0 |
| On Disentanglement of Asymmetrical Knowledge Transfer for Modality-Task Agnostic Federated Learning |
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3 |
| On Estimating the Gradient of the Expected Information Gain in Bayesian Experimental Design |
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2 |
| On Inference Stability for Diffusion Models |
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4 |
| On Optimal Tradeoffs between EFX and Nash Welfare |
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1 |
| On Partial Optimal Transport: Revising the Infeasibility of Sinkhorn and Efficient Gradient Methods |
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3 |
| On Unsupervised Domain Adaptation: Pseudo Label Guided Mixup for Adversarial Prompt Tuning |
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5 |
| On the Affinity, Rationality, and Diversity of Hierarchical Topic Modeling |
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2 |
| On the Computational Complexity of Plan Verification, (Bounded) Plan-Optimality Verification, and Bounded Plan Existence |
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| On the Convergence of an Adaptive Momentum Method for Adversarial Attacks |
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5 |
| On the Expressivity of Recurrent Neural Cascades |
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| On the Outcome Equivalence of Extensive-Form and Behavioral Correlated Equilibria |
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| On the Robustness of Neural-Enhanced Video Streaming against Adversarial Attacks |
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4 |
| On the Role of Server Momentum in Federated Learning |
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3 |
| On the Structural Hardness of Answer Set Programming: Can Structure Efficiently Confine the Power of Disjunctions? |
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| On the Unstable Convergence Regime of Gradient Descent |
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| Once and for All: Universal Transferable Adversarial Perturbation against Deep Hashing-Based Facial Image Retrieval |
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4 |
| One Self-Configurable Model to Solve Many Abstract Visual Reasoning Problems |
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| One Step Closer to Unbiased Aleatoric Uncertainty Estimation |
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| One Step Learning, One Step Review |
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7 |
| One at a Time: Progressive Multi-Step Volumetric Probability Learning for Reliable 3D Scene Perception |
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4 |
| One-Step Forward and Backtrack: Overcoming Zig-Zagging in Loss-Aware Quantization Training |
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| Online Boosting Adaptive Learning under Concept Drift for Multistream Classification |
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| Online Conversion Rate Prediction via Multi-Interval Screening and Synthesizing under Delayed Feedback |
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| Online Markov Decision Processes Configuration with Continuous Decision Space |
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| Online Restless Multi-Armed Bandits with Long-Term Fairness Constraints |
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| Online Sensitivity Optimization in Differentially Private Learning |
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| Online Submodular Maximization via Online Convex Optimization |
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5 |
| OntoFact: Unveiling Fantastic Fact-Skeleton of LLMs via Ontology-Driven Reinforcement Learning |
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7 |
| Open-Set Facial Expression Recognition |
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| Open-Set Graph Domain Adaptation via Separate Domain Alignment |
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3 |
| Open-Vocabulary Video Relation Extraction |
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4 |
| Operationalizing Essential Characteristics of Creativity in a Computational System for Music Composition |
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2 |
| Operator-Learning-Inspired Modeling of Neural Ordinary Differential Equations |
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5 |
| Opponent-Model Search in Games with Incomplete Information |
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| Optical Flow for Spike Camera with Hierarchical Spatial-Temporal Spike Fusion |
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3 |
| Optimal Attack and Defense for Reinforcement Learning |
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1 |
| Optimal Makespan in a Minute Timespan! A Scalable Multi-Robot Goal Assignment Algorithm for Minimizing Mission Time |
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5 |
| Optimal Mechanism in a Dynamic Stochastic Knapsack Environment |
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3 |
| Optimal Quasi-clique: Hardness, Equivalence with Densest-k-Subgraph, and Quasi-partitioned Community Mining |
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3 |
| Optimal Survival Trees: A Dynamic Programming Approach |
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6 |
| Optimal Transport with Cyclic Symmetry |
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4 |
| Optimal Transport with Tempered Exponential Measures |
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2 |
| Optimised Storage for Datalog Reasoning |
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4 |
| Optimistic Model Rollouts for Pessimistic Offline Policy Optimization |
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2 |
| Optimistic Policy Gradient in Multi-Player Markov Games with a Single Controller: Convergence beyond the Minty Property |
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0 |
| Optimistic Value Instructors for Cooperative Multi-Agent Reinforcement Learning |
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1 |
| Optimize & Reduce: A Top-Down Approach for Image Vectorization |
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4 |
| Optimizing ADMM and Over-Relaxed ADMM Parameters for Linear Quadratic Problems |
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2 |
| Optimizing Local Satisfaction of Long-Run Average Objectives in Markov Decision Processes |
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3 |
| Optimizing the Optimization of Planning Domains by Automatic Action Schema Splitting |
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4 |
| Orthogonal Dictionary Guided Shape Completion Network for Point Cloud |
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5 |
| Out of Thin Air: Exploring Data-Free Adversarial Robustness Distillation |
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4 |
| Out-of-Distribution Detection in Long-Tailed Recognition with Calibrated Outlier Class Learning |
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2 |
| PA2D-MORL: Pareto Ascent Directional Decomposition Based Multi-Objective Reinforcement Learning |
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3 |
| PAC-Bayes Generalisation Bounds for Dynamical Systems including Stable RNNs |
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2 |
| PARSAC: Accelerating Robust Multi-Model Fitting with Parallel Sample Consensus |
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2 |
| PC-Conv: Unifying Homophily and Heterophily with Two-Fold Filtering |
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4 |
| PCE-Palm: Palm Crease Energy Based Two-Stage Realistic Pseudo-Palmprint Generation |
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3 |
| PDE+: Enhancing Generalization via PDE with Adaptive Distributional Diffusion |
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3 |
| PG-LBO: Enhancing High-Dimensional Bayesian Optimization with Pseudo-Label and Gaussian Process Guidance |
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4 |
| PHFormer: Multi-Fragment Assembly Using Proxy-Level Hybrid Transformer |
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4 |
| PICNN: A Pathway towards Interpretable Convolutional Neural Networks |
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5 |
| PM-INR: Prior-Rich Multi-Modal Implicit Large-Scale Scene Neural Representation |
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3 |
| PMAC: Personalized Multi-Agent Communication |
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2 |
| PMET: Precise Model Editing in a Transformer |
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2 |
| PMRC: Prompt-Based Machine Reading Comprehension for Few-Shot Named Entity Recognition |
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3 |
| PNeRFLoc: Visual Localization with Point-Based Neural Radiance Fields |
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4 |
| PNeSM: Arbitrary 3D Scene Stylization via Prompt-Based Neural Style Mapping |
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3 |
| PORTAL: Automatic Curricula Generation for Multiagent Reinforcement Learning |
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| PPEA-Depth: Progressive Parameter-Efficient Adaptation for Self-Supervised Monocular Depth Estimation |
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3 |
| PPIDSG: A Privacy-Preserving Image Distribution Sharing Scheme with GAN in Federated Learning |
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5 |
| PPO-Clip Attains Global Optimality: Towards Deeper Understandings of Clipping |
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| PREFER: Prompt Ensemble Learning via Feedback-Reflect-Refine |
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4 |
| PRP Rebooted: Advancing the State of the Art in FOND Planning |
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3 |
| PSC-CPI: Multi-Scale Protein Sequence-Structure Contrasting for Efficient and Generalizable Compound-Protein Interaction Prediction |
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4 |
| PTMQ: Post-training Multi-Bit Quantization of Neural Networks |
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3 |
| PTUS: Photo-Realistic Talking Upper-Body Synthesis via 3D-Aware Motion Decomposition Warping |
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2 |
| PVALane: Prior-Guided 3D Lane Detection with View-Agnostic Feature Alignment |
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4 |
| PaintHuman: Towards High-Fidelity Text-to-3D Human Texturing via Denoised Score Distillation |
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1 |
| Painterly Image Harmonization by Learning from Painterly Objects |
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4 |
| Pairwise-Label-Based Deep Incremental Hashing with Simultaneous Code Expansion |
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3 |
| Pandora’s Problem with Deadlines |
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| Pano-NeRF: Synthesizing High Dynamic Range Novel Views with Geometry from Sparse Low Dynamic Range Panoramic Images |
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3 |
| Panoptic Scene Graph Generation with Semantics-Prototype Learning |
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3 |
| Pantypes: Diverse Representatives for Self-Explainable Models |
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2 |
| ParaGuide: Guided Diffusion Paraphrasers for Plug-and-Play Textual Style Transfer |
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5 |
| Parallel Beam Search Algorithms for Domain-Independent Dynamic Programming |
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5 |
| Parallel Empirical Evaluations: Resilience despite Concurrency |
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5 |
| Parallel Ranking of Ads and Creatives in Real-Time Advertising Systems |
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2 |
| Parallel Vertex Diffusion for Unified Visual Grounding |
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4 |
| Parameterization of (Partial) Maximum Satisfiability above Matching in a Variable-Clause Graph |
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1 |
| Parameterized Approximation Algorithms for Sum of Radii Clustering and Variants |
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1 |
| Parameterized Projected Bellman Operator |
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3 |
| Pareto Front-Diverse Batch Multi-Objective Bayesian Optimization |
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5 |
| Parsing All Adverse Scenes: Severity-Aware Semantic Segmentation with Mask-Enhanced Cross-Domain Consistency |
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3 |
| Partial Label Learning with a Partner |
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2 |
| Partial Multi-View Clustering via Self-Supervised Network |
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4 |
| Participation Incentives in Approval-Based Committee Elections |
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0 |
| Patch-Aware Sample Selection for Efficient Masked Image Modeling |
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4 |
| Patch-Wise Graph Contrastive Learning for Image Translation |
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1 |
| Patched Line Segment Learning for Vector Road Mapping |
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4 |
| PathAsst: A Generative Foundation AI Assistant towards Artificial General Intelligence of Pathology |
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3 |
| Paths, Proofs, and Perfection: Developing a Human-Interpretable Proof System for Constrained Shortest Paths |
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3 |
| Pay Attention to Target: Relation-Aware Temporal Consistency for Domain Adaptive Video Semantic Segmentation |
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4 |
| Pay to (Not) Play: Monetizing Impatience in Mobile Games |
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| Peer Learning: Learning Complex Policies in Groups from Scratch via Action Recommendations |
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3 |
| Peer Neighborhood Mechanisms: A Framework for Mechanism Generalization |
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| PerFedRLNAS: One-for-All Personalized Federated Neural Architecture Search |
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4 |
| Percentile Risk-Constrained Budget Pacing for Guaranteed Display Advertising in Online Optimization |
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4 |
| Performative Federated Learning: A Solution to Model-Dependent and Heterogeneous Distribution Shifts |
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3 |
| Permutation-Based Hypothesis Testing for Neural Networks |
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3 |
| Personalized LoRA for Human-Centered Text Understanding |
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4 |
| Personalized Reinforcement Learning with a Budget of Policies |
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2 |
| Perturbation-Invariant Adversarial Training for Neural Ranking Models: Improving the Effectiveness-Robustness Trade-Off |
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3 |
| Phoneme Hallucinator: One-Shot Voice Conversion via Set Expansion |
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5 |
| Piecewise Linear Transformation – Propagating Aleatoric Uncertainty in Neural Networks |
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1 |
| Plug-In Diffusion Model for Sequential Recommendation |
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3 |
| PoetryDiffusion: Towards Joint Semantic and Metrical Manipulation in Poetry Generation |
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5 |
| Poincaré Differential Privacy for Hierarchy-Aware Graph Embedding |
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6 |
| Point Cloud Part Editing: Segmentation, Generation, Assembly, and Selection |
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3 |
| Point Deformable Network with Enhanced Normal Embedding for Point Cloud Analysis |
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4 |
| Point Transformer with Federated Learning for Predicting Breast Cancer HER2 Status from Hematoxylin and Eosin-Stained Whole Slide Images |
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7 |
| Point-PEFT: Parameter-Efficient Fine-Tuning for 3D Pre-trained Models |
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4 |
| Point-to-Spike Residual Learning for Energy-Efficient 3D Point Cloud Classification |
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3 |
| Point2Real: Bridging the Gap between Point Cloud and Realistic Image for Open-World 3D Recognition |
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6 |
| PointAttN: You Only Need Attention for Point Cloud Completion |
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5 |
| PointPatchMix: Point Cloud Mixing with Patch Scoring |
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4 |
| Polyper: Boundary Sensitive Polyp Segmentation |
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4 |
| PosDiffNet: Positional Neural Diffusion for Point Cloud Registration in a Large Field of View with Perturbations |
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4 |
| PoseGen: Learning to Generate 3D Human Pose Dataset with NeRF |
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3 |
| Practical Privacy-Preserving MLaaS: When Compressive Sensing Meets Generative Networks |
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4 |
| PreRoutGNN for Timing Prediction with Order Preserving Partition: Global Circuit Pre-training, Local Delay Learning and Attentional Cell Modeling |
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2 |
| Predicting Real-World Penny Auction Durations by Integrating Game Theory and Machine Learning |
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3 |
| PrefAce: Face-Centric Pretraining with Self-Structure Aware Distillation |
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5 |
| Preference Aware Dual Contrastive Learning for Item Cold-Start Recommendation |
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3 |
| Preference Ranking Optimization for Human Alignment |
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3 |
| Preparing Lessons for Progressive Training on Language Models |
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3 |
| Primitive-Based 3D Human-Object Interaction Modelling and Programming |
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3 |
| Principal-Agent Reward Shaping in MDPs |
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1 |
| Principle Component Trees and Their Persistent Homology |
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3 |
| Prior and Prediction Inverse Kernel Transformer for Single Image Defocus Deblurring |
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4 |
| Privacy Amplification by Iteration for ADMM with (Strongly) Convex Objective Functions |
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1 |
| Privileged Prior Information Distillation for Image Matting |
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2 |
| ProAgent: Building Proactive Cooperative Agents with Large Language Models |
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2 |
| ProCC: Progressive Cross-Primitive Compatibility for Open-World Compositional Zero-Shot Learning |
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5 |
| Probabilistic Neural Circuits |
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6 |
| Probabilistic Offline Policy Ranking with Approximate Bayesian Computation |
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4 |
| Probabilities of Causation with Nonbinary Treatment and Effect |
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| Probability-Polarized Optimal Transport for Unsupervised Domain Adaptation |
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2 |
| Procedural Level Generation with Diffusion Models from a Single Example |
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5 |
| Progressive Distillation Based on Masked Generation Feature Method for Knowledge Graph Completion |
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5 |
| Progressive Feature Self-Reinforcement for Weakly Supervised Semantic Segmentation |
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3 |
| Progressive High-Frequency Reconstruction for Pan-Sharpening with Implicit Neural Representation |
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3 |
| Progressive Painterly Image Harmonization from Low-Level Styles to High-Level Styles |
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4 |
| Progressive Poisoned Data Isolation for Training-Time Backdoor Defense |
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4 |
| Progressive Text-to-Image Diffusion with Soft Latent Direction |
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3 |
| Progressively Knowledge Distillation via Re-parameterizing Diffusion Reverse Process |
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2 |
| Project-Fair and Truthful Mechanisms for Budget Aggregation |
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| Prompt to Transfer: Sim-to-Real Transfer for Traffic Signal Control with Prompt Learning |
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3 |
| Prompt-Based Distribution Alignment for Unsupervised Domain Adaptation |
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| PromptMRG: Diagnosis-Driven Prompts for Medical Report Generation |
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5 |
| Prompting Multi-Modal Image Segmentation with Semantic Grouping |
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4 |
| Prompting Segmentation with Sound Is Generalizable Audio-Visual Source Localizer |
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| Propagation Tree Is Not Deep: Adaptive Graph Contrastive Learning Approach for Rumor Detection |
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| Proportional Aggregation of Preferences for Sequential Decision Making |
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2 |
| Proportional Representation in Metric Spaces and Low-Distortion Committee Selection |
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1 |
| Prot2Text: Multimodal Protein’s Function Generation with GNNs and Transformers |
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5 |
| Protect Your Score: Contact-Tracing with Differential Privacy Guarantees |
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4 |
| Protein 3D Graph Structure Learning for Robust Structure-Based Protein Property Prediction |
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3 |
| Provably Convergent Federated Trilevel Learning |
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3 |
| Provably Powerful Graph Neural Networks for Directed Multigraphs |
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| ProxyDet: Synthesizing Proxy Novel Classes via Classwise Mixup for Open-Vocabulary Object Detection |
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| Proxyformer: Nyström-Based Linear Transformer with Trainable Proxy Tokens |
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4 |
| Pseudo-Label Calibration Semi-supervised Multi-Modal Entity Alignment |
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3 |
| Pushing the Limit of Fine-Tuning for Few-Shot Learning: Where Feature Reusing Meets Cross-Scale Attention |
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| QAGait: Revisit Gait Recognition from a Quality Perspective |
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3 |
| QCS-SGM+: Improved Quantized Compressed Sensing with Score-Based Generative Models |
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4 |
| QDETRv: Query-Guided DETR for One-Shot Object Localization in Videos |
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4 |
| QI-IRA: Quantum-Inspired Interactive Ranking Aggregation for Person Re-identification |
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3 |
| QLABGrad: A Hyperparameter-Free and Convergence-Guaranteed Scheme for Deep Learning |
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4 |
| QPEN: Quantum Projection and Quantum Entanglement Enhanced Network for Cross-Lingual Aspect-Based Sentiment Analysis |
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5 |
| Quad Bayer Joint Demosaicing and Denoising Based on Dual Encoder Network with Joint Residual Learning |
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| Quality-Diversity Generative Sampling for Learning with Synthetic Data |
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4 |
| Quantifying and Analyzing Entity-Level Memorization in Large Language Models |
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2 |
| Quantum Interference Model for Semantic Biases of Glosses in Word Sense Disambiguation |
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5 |
| Quantum-Inspired Neural Network with Runge-Kutta Method |
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3 |
| QuerySum: A Multi-Document Query-Focused Summarization Dataset Augmented with Similar Query Clusters |
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3 |
| Question Calibration and Multi-Hop Modeling for Temporal Question Answering |
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1 |
| R3CD: Scene Graph to Image Generation with Relation-Aware Compositional Contrastive Control Diffusion |
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3 |
| READ-PVLA: Recurrent Adapter with Partial Video-Language Alignment for Parameter-Efficient Transfer Learning in Low-Resource Video-Language Modeling |
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5 |
| REGLO: Provable Neural Network Repair for Global Robustness Properties |
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5 |
| REPrune: Channel Pruning via Kernel Representative Selection |
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4 |
| RG-GAN: Dynamic Regenerative Pruning for Data-Efficient Generative Adversarial Networks |
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5 |
| RGMComm: Return Gap Minimization via Discrete Communications in Multi-Agent Reinforcement Learning |
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| RL-SeqISP: Reinforcement Learning-Based Sequential Optimization for Image Signal Processing |
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4 |
| RLfOLD: Reinforcement Learning from Online Demonstrations in Urban Autonomous Driving |
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5 |
| ROG_PL: Robust Open-Set Graph Learning via Region-Based Prototype Learning |
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4 |
| RPSC: Robust Pseudo-Labeling for Semantic Clustering |
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2 |
| RR-PU: A Synergistic Two-Stage Positive and Unlabeled Learning Framework for Robust Tax Evasion Detection |
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4 |
| RRL: Recommendation Reverse Learning |
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3 |
| RWMS: Reliable Weighted Multi-Phase for Semi-supervised Segmentation |
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4 |
| Racing Control Variable Genetic Programming for Symbolic Regression |
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3 |
| RadOcc: Learning Cross-Modality Occupancy Knowledge through Rendering Assisted Distillation |
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3 |
| RadarMOSEVE: A Spatial-Temporal Transformer Network for Radar-Only Moving Object Segmentation and Ego-Velocity Estimation |
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5 |
| Rating-Based Reinforcement Learning |
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3 |
| ReGCL: Rethinking Message Passing in Graph Contrastive Learning |
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5 |
| Reachability of Fair Allocations via Sequential Exchanges |
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| Real3D: The Curious Case of Neural Scene Degeneration |
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3 |
| Recall-Oriented Continual Learning with Generative Adversarial Meta-Model |
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3 |
| Recasting Regional Lighting for Shadow Removal |
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3 |
| Recognizing Ultra-High-Speed Moving Objects with Bio-Inspired Spike Camera |
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4 |
| Reconciling Predictive and Statistical Parity: A Causal Approach |
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3 |
| Rectangle Search: An Anytime Beam Search |
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4 |
| Recurrent Graph Neural Networks and Their Connections to Bisimulation and Logic |
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0 |
| Recurrent Partial Kernel Network for Efficient Optical Flow Estimation |
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5 |
| RedCore: Relative Advantage Aware Cross-Modal Representation Learning for Missing Modalities with Imbalanced Missing Rates |
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5 |
| Redefining ABA+ Semantics via Abstract Set-to-Set Attacks |
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0 |
| Reducing Spatial Fitting Error in Distillation of Denoising Diffusion Models |
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3 |
| Referred by Multi-Modality: A Unified Temporal Transformer for Video Object Segmentation |
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2 |
| Refined Characterizations of Approval-Based Committee Scoring Rules |
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0 |
| Refining Latent Homophilic Structures over Heterophilic Graphs for Robust Graph Convolution Networks |
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3 |
| Region-Aware Exposure Consistency Network for Mixed Exposure Correction |
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5 |
| Region-Disentangled Diffusion Model for High-Fidelity PPG-to-ECG Translation |
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5 |
| Regret Analysis of Policy Gradient Algorithm for Infinite Horizon Average Reward Markov Decision Processes |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| Regret Analysis of Repeated Delegated Choice |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| Regroup Median Loss for Combating Label Noise |
✅ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
5 |
| Regulating AI: Applying Insights from Behavioural Economics and Psychology to the Application of Article 5 of the EU AI Act |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Regulating Intermediate 3D Features for Vision-Centric Autonomous Driving |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Reinforced Adaptive Knowledge Learning for Multimodal Fake News Detection |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Reinforcement Learning and Data-Generation for Syntax-Guided Synthesis |
✅ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
5 |
| Reinforcement Learning as a Parsimonious Alternative to Prediction Cascades: A Case Study on Image Segmentation |
✅ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
5 |
| Relational Distant Supervision for Image Captioning without Image-Text Pairs |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Relational Programming with Foundational Models |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Relative Policy-Transition Optimization for Fast Policy Transfer |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Relax Image-Specific Prompt Requirement in SAM: A Single Generic Prompt for Segmenting Camouflaged Objects |
❌ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Relaxed Stationary Distribution Correction Estimation for Improved Offline Policy Optimization |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
❌ |
2 |
| Relevant Intrinsic Feature Enhancement Network for Few-Shot Semantic Segmentation |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Reliable Conflictive Multi-View Learning |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
4 |
| Reliable Data Generation and Selection for Low-Resource Relation Extraction |
✅ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
5 |
| Relightable and Animatable Neural Avatars from Videos |
❌ |
✅ |
✅ |
❌ |
✅ |
❌ |
❌ |
3 |
| Removing Interference and Recovering Content Imaginatively for Visible Watermark Removal |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Repeated Fair Allocation of Indivisible Items |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| Reproduce, Replicate, Reevaluate. The Long but Safe Way to Extend Machine Learning Methods |
❌ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| ResDiff: Combining CNN and Diffusion Model for Image Super-resolution |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
3 |
| ResMatch: Residual Attention Learning for Feature Matching |
❌ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Residual Hyperbolic Graph Convolution Networks |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
❌ |
1 |
| Resisting Backdoor Attacks in Federated Learning via Bidirectional Elections and Individual Perspective |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
✅ |
6 |
| Resource Democratization: Is Compute the Binding Constraint on AI Research? |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
1 |
| Resource Efficient Deep Learning Hardware Watermarks with Signature Alignment |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Responding to the Call: Exploring Automatic Music Composition Using a Knowledge-Enhanced Model |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Response Enhanced Semi-supervised Dialogue Query Generation |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Responsibility in Extensive Form Games |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Restoring Speaking Lips from Occlusion for Audio-Visual Speech Recognition |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Rethinking Causal Relationships Learning in Graph Neural Networks |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
❌ |
2 |
| Rethinking Dimensional Rationale in Graph Contrastive Learning from Causal Perspective |
✅ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
5 |
| Rethinking Graph Masked Autoencoders through Alignment and Uniformity |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
4 |
| Rethinking Mesh Watermark: Towards Highly Robust and Adaptable Deep 3D Mesh Watermarking |
❌ |
❌ |
✅ |
❌ |
✅ |
✅ |
✅ |
4 |
| Rethinking Multi-Scale Representations in Deep Deraining Transformer |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| Rethinking Peculiar Images by Diffusion Models: Revealing Local Minima’s Role |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
4 |
| Rethinking Propagation for Unsupervised Graph Domain Adaptation |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Rethinking Reverse Distillation for Multi-Modal Anomaly Detection |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Rethinking Robustness of Model Attributions |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Rethinking Two-Stage Referring Expression Comprehension: A Novel Grounding and Segmentation Method Modulated by Point |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Rethinking the Paradigm of Content Constraints in Unpaired Image-to-Image Translation |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| RetouchFormer: Semi-supervised High-Quality Face Retouching Transformer with Prior-Based Selective Self-Attention |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Retrieval-Augmented Primitive Representations for Compositional Zero-Shot Learning |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| RetroOOD: Understanding Out-of-Distribution Generalization in Retrosynthesis Prediction |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
❌ |
2 |
| Revealing the Proximate Long-Tail Distribution in Compositional Zero-Shot Learning |
❌ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
3 |
| Reverse Multi-Choice Dialogue Commonsense Inference with Graph-of-Thought |
❌ |
✅ |
✅ |
❌ |
✅ |
❌ |
❌ |
3 |
| Review-Enhanced Hierarchical Contrastive Learning for Recommendation |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Reviewing the Forgotten Classes for Domain Adaptation of Black-Box Predictors |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
4 |
| Revisiting Disentanglement in Downstream Tasks: A Study on Its Necessity for Abstract Visual Reasoning |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Revisiting Document-Level Relation Extraction with Context-Guided Link Prediction |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Revisiting Gradient Pruning: A Dual Realization for Defending against Gradient Attacks |
✅ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Revisiting Graph-Based Fraud Detection in Sight of Heterophily and Spectrum |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Revisiting Open-Set Panoptic Segmentation |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Reward Penalties on Augmented States for Solving Richly Constrained RL Effectively |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| RewriteLM: An Instruction-Tuned Large Language Model for Text Rewriting |
❌ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Risk-Conditioned Reinforcement Learning: A Generalized Approach for Adapting to Varying Risk Measures |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| RoPDA: Robust Prompt-Based Data Augmentation for Low-Resource Named Entity Recognition |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Robust 3D Tracking with Quality-Aware Shape Completion |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| Robust Beamforming for Downlink Multi-Cell Systems: A Bilevel Optimization Perspective |
✅ |
❌ |
❌ |
❌ |
✅ |
❌ |
❌ |
2 |
| Robust Blind Text Image Deblurring via Maximum Consensus Framework |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Robust Communicative Multi-Agent Reinforcement Learning with Active Defense |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Robust Distributed Gradient Aggregation Using Projections onto Gradient Manifolds |
✅ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Robust Evaluation Measures for Evaluating Social Biases in Masked Language Models |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
❌ |
4 |
| Robust Few-Shot Named Entity Recognition with Boundary Discrimination and Correlation Purification |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Robust Loss Functions for Training Decision Trees with Noisy Labels |
✅ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
6 |
| Robust Node Classification on Graph Data with Graph and Label Noise |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
❌ |
3 |
| Robust Nonparametric Regression under Poisoning Attack |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
1 |
| Robust Policy Learning via Offline Skill Diffusion |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
❌ |
2 |
| Robust Test-Time Adaptation for Zero-Shot Prompt Tuning |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Robust Visual Imitation Learning with Inverse Dynamics Representations |
✅ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
5 |
| Robust Visual Recognition with Class-Imbalanced Open-World Noisy Data |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Robustly Improving Bandit Algorithms with Confounded and Selection Biased Offline Data: A Causal Approach |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| Robustly Train Normalizing Flows via KL Divergence Regularization |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Robustness Verification of Deep Reinforcement Learning Based Control Systems Using Reward Martingales |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Robustness-Guided Image Synthesis for Data-Free Quantization |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Roll with the Punches: Expansion and Shrinkage of Soft Label Selection for Semi-supervised Fine-Grained Learning |
✅ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
5 |
| Rolling-Unet: Revitalizing MLP’s Ability to Efficiently Extract Long-Distance Dependencies for Medical Image Segmentation |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| Root Cause Analysis in Microservice Using Neural Granger Causal Discovery |
❌ |
✅ |
❌ |
❌ |
✅ |
❌ |
✅ |
3 |
| Root Cause Explanation of Outliers under Noisy Mechanisms |
❌ |
❌ |
❌ |
❌ |
✅ |
❌ |
✅ |
2 |
| Runtime Analysis of the (μ + 1) GA: Provable Speed-Ups from Strong Drift towards Diverse Populations |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
4 |
| Runtime Analysis of the SMS-EMOA for Many-Objective Optimization |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| Runtime vs. Extracted Proof Size: An Exponential Gap for CDCL on QBFs |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| S2CycleDiff: Spatial-Spectral-Bilateral Cycle-Diffusion Framework for Hyperspectral Image Super-resolution |
❌ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| S2WAT: Image Style Transfer via Hierarchical Vision Transformer Using Strips Window Attention |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| S3A: Towards Realistic Zero-Shot Classification via Self Structural Semantic Alignment |
❌ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| SALSA: Semantically-Aware Latent Space Autoencoder |
❌ |
❌ |
✅ |
❌ |
❌ |
✅ |
✅ |
3 |
| SAM-PARSER: Fine-Tuning SAM Efficiently by Parameter Space Reconstruction |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| SAME: Sample Reconstruction against Model Extraction Attacks |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| SAMFlow: Eliminating Any Fragmentation in Optical Flow with Segment Anything Model |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
❌ |
1 |
| SAT-Based Algorithms for Regular Graph Pattern Matching |
❌ |
✅ |
✅ |
❌ |
✅ |
✅ |
✅ |
5 |
| SAT-Based Techniques for Lexicographically Smallest Finite Models |
✅ |
❌ |
✅ |
❌ |
✅ |
✅ |
✅ |
5 |
| SAT-Based Tree Decomposition with Iterative Cascading Policy Selection |
✅ |
✅ |
✅ |
✅ |
✅ |
✅ |
✅ |
7 |
| SAUI: Scale-Aware Unseen Imagineer for Zero-Shot Object Detection |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| SAVSR: Arbitrary-Scale Video Super-Resolution via a Learned Scale-Adaptive Network |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| SA²VP: Spatially Aligned-and-Adapted Visual Prompt |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| SC-NeuS: Consistent Neural Surface Reconstruction from Sparse and Noisy Views |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
❌ |
2 |
| SCD-Net: Spatiotemporal Clues Disentanglement Network for Self-Supervised Skeleton-Based Action Recognition |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| SCP: Spherical-Coordinate-Based Learned Point Cloud Compression |
❌ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
3 |
| SCTNet: Single-Branch CNN with Transformer Semantic Information for Real-Time Segmentation |
❌ |
✅ |
✅ |
❌ |
✅ |
❌ |
❌ |
3 |
| SD-MVS: Segmentation-Driven Deformation Multi-View Stereo with Spherical Refinement and EM Optimization |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| SDAC: A Multimodal Synthetic Dataset for Anomaly and Corner Case Detection in Autonomous Driving |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
❌ |
1 |
| SDGAN: Disentangling Semantic Manipulation for Facial Attribute Editing |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
❌ |
2 |
| SDGMNet: Statistic-Based Dynamic Gradient Modulation for Local Descriptor Learning |
✅ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
5 |
| SEA-GWNN: Simple and Effective Adaptive Graph Wavelet Neural Network |
✅ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| SEC: More Accurate Clustering Algorithm via Structural Entropy |
✅ |
❌ |
✅ |
❌ |
✅ |
❌ |
❌ |
3 |
| SECap: Speech Emotion Captioning with Large Language Model |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
3 |
| SEER: Backdoor Detection for Vision-Language Models through Searching Target Text and Image Trigger Jointly |
✅ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| SEIT: Structural Enhancement for Unsupervised Image Translation in Frequency Domain |
❌ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
3 |
| SENCR: A Span Enhanced Two-Stage Network with Counterfactual Rethinking for Chinese NER |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| SFC: Shared Feature Calibration in Weakly Supervised Semantic Segmentation |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| SGFormer: Semantic Graph Transformer for Point Cloud-Based 3D Scene Graph Generation |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| SGNet: Structure Guided Network via Gradient-Frequency Awareness for Depth Map Super-resolution |
❌ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| SHAP@k: Efficient and Probably Approximately Correct (PAC) Identification of Top-K Features |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| SHaRPose: Sparse High-Resolution Representation for Human Pose Estimation |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| SHoP: A Deep Learning Framework for Solving High-Order Partial Differential Equations |
❌ |
✅ |
❌ |
❌ |
✅ |
❌ |
✅ |
3 |
| SIG: Speaker Identification in Literature via Prompt-Based Generation |
❌ |
❌ |
✅ |
✅ |
❌ |
✅ |
❌ |
3 |
| SMILEtrack: SiMIlarity LEarning for Occlusion-Aware Multiple Object Tracking |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
3 |
| SNN-PDE: Learning Dynamic PDEs from Data with Simplicial Neural Networks |
❌ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| SOGDet: Semantic-Occupancy Guided Multi-View 3D Object Detection |
✅ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
6 |
| SPD-DDPM: Denoising Diffusion Probabilistic Models in the Symmetric Positive Definite Space |
✅ |
✅ |
✅ |
❌ |
✅ |
✅ |
✅ |
6 |
| SPEAL: Skeletal Prior Embedded Attention Learning for Cross-Source Point Cloud Registration |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| SPGroup3D: Superpoint Grouping Network for Indoor 3D Object Detection |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
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5 |
| SQLdepth: Generalizable Self-Supervised Fine-Structured Monocular Depth Estimation |
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✅ |
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❌ |
✅ |
❌ |
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4 |
| SRFormer: Text Detection Transformer with Incorporated Segmentation and Regression |
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✅ |
✅ |
✅ |
✅ |
❌ |
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5 |
| SSMG: Spatial-Semantic Map Guided Diffusion Model for Free-Form Layout-to-Image Generation |
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❌ |
✅ |
✅ |
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4 |
| STAIR: Spatial-Temporal Reasoning with Auditable Intermediate Results for Video Question Answering |
❌ |
✅ |
✅ |
✅ |
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❌ |
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5 |
| STAR: Boosting Low-Resource Information Extraction by Structure-to-Text Data Generation with Large Language Models |
❌ |
❌ |
✅ |
❌ |
❌ |
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✅ |
2 |
| STAS: Spatial-Temporal Return Decomposition for Solving Sparse Rewards Problems in Multi-agent Reinforcement Learning |
✅ |
✅ |
✅ |
❌ |
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3 |
| STDiff: Spatio-Temporal Diffusion for Continuous Stochastic Video Prediction |
✅ |
✅ |
✅ |
❌ |
✅ |
❌ |
❌ |
4 |
| STEM: Unleashing the Power of Embeddings for Multi-Task Recommendation |
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✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| SUF: Stabilized Unconstrained Fine-Tuning for Offline-to-Online Reinforcement Learning |
✅ |
❌ |
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❌ |
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3 |
| SURER: Structure-Adaptive Unified Graph Neural Network for Multi-View Clustering |
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❌ |
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3 |
| Safe Abductive Learning in the Presence of Inaccurate Rules |
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❌ |
✅ |
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3 |
| SafeAR: Safe Algorithmic Recourse by Risk-Aware Policies |
✅ |
✅ |
✅ |
❌ |
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4 |
| Sample Efficient Reinforcement Learning with Partial Dynamics Knowledge |
✅ |
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❌ |
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✅ |
3 |
| Sample-Constrained Black Box Optimization for Audio Personalization |
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✅ |
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2 |
| Sample-Level Cross-View Similarity Learning for Incomplete Multi-View Clustering |
✅ |
✅ |
✅ |
❌ |
✅ |
✅ |
✅ |
6 |
| Sample-and-Bound for Non-convex Optimization |
✅ |
❌ |
✅ |
❌ |
✅ |
✅ |
✅ |
5 |
| Sampling for Beyond-Worst-Case Online Ranking |
✅ |
❌ |
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❌ |
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4 |
| Sampling-Resilient Multi-Object Tracking |
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❌ |
✅ |
✅ |
✅ |
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4 |
| SasWOT: Real-Time Semantic Segmentation Architecture Search WithOut Training |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
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4 |
| Say Anything with Any Style |
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✅ |
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✅ |
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✅ |
3 |
| SayCanPay: Heuristic Planning with Large Language Models Using Learnable Domain Knowledge |
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✅ |
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❌ |
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5 |
| Scalable Enumeration of Trap Spaces in Boolean Networks via Answer Set Programming |
✅ |
✅ |
✅ |
❌ |
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❌ |
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5 |
| Scalable Geometric Fracture Assembly via Co-creation Space among Assemblers |
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✅ |
✅ |
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❌ |
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4 |
| Scalable Motion Style Transfer with Constrained Diffusion Generation |
✅ |
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✅ |
❌ |
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❌ |
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3 |
| Scale Optimization Using Evolutionary Reinforcement Learning for Object Detection on Drone Imagery |
✅ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
5 |
| Scaling Few-Shot Learning for the Open World |
✅ |
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✅ |
✅ |
✅ |
❌ |
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5 |
| Scaling Up Semi-supervised Learning with Unconstrained Unlabelled Data |
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✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Scaling and Masking: A New Paradigm of Data Sampling for Image and Video Quality Assessment |
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✅ |
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✅ |
❌ |
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4 |
| ScanERU: Interactive 3D Visual Grounding Based on Embodied Reference Understanding |
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✅ |
✅ |
✅ |
❌ |
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3 |
| SciEval: A Multi-Level Large Language Model Evaluation Benchmark for Scientific Research |
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✅ |
✅ |
✅ |
❌ |
❌ |
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3 |
| Scores for Learning Discrete Causal Graphs with Unobserved Confounders |
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✅ |
❌ |
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❌ |
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3 |
| Scribble Hides Class: Promoting Scribble-Based Weakly-Supervised Semantic Segmentation with Its Class Label |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
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5 |
| SeGA: Preference-Aware Self-Contrastive Learning with Prompts for Anomalous User Detection on Twitter |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| SeTformer Is What You Need for Vision and Language |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
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5 |
| Secure Distributed Sparse Gaussian Process Models Using Multi-Key Homomorphic Encryption |
❌ |
❌ |
✅ |
❌ |
✅ |
✅ |
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4 |
| Seed-Guided Fine-Grained Entity Typing in Science and Engineering Domains |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
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5 |
| Seeing Dark Videos via Self-Learned Bottleneck Neural Representation |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
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3 |
| Segment beyond View: Handling Partially Missing Modality for Audio-Visual Semantic Segmentation |
❌ |
❌ |
✅ |
✅ |
✅ |
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4 |
| Selective Deep Autoencoder for Unsupervised Feature Selection |
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✅ |
❌ |
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6 |
| Selective Focus: Investigating Semantics Sensitivity in Post-training Quantization for Lane Detection |
✅ |
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4 |
| Selective and Orthogonal Feature Activation for Pedestrian Attribute Recognition |
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✅ |
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2 |
| Self-Distillation Regularized Connectionist Temporal Classification Loss for Text Recognition: A Simple Yet Effective Approach |
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4 |
| Self-Interpretable Graph Learning with Sufficient and Necessary Explanations |
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3 |
| Self-Paced Unified Representation Learning for Hierarchical Multi-Label Classification |
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4 |
| Self-Prompt Mechanism for Few-Shot Image Recognition |
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5 |
| Self-Supervised 3D Human Mesh Recovery from a Single Image with Uncertainty-Aware Learning |
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❌ |
✅ |
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4 |
| Self-Supervised Bird’s Eye View Motion Prediction with Cross-Modality Signals |
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4 |
| Self-Supervised Disentangled Representation Learning for Robust Target Speech Extraction |
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3 |
| Self-Supervised Multi-Modal Knowledge Graph Contrastive Hashing for Cross-Modal Search |
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❌ |
✅ |
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❌ |
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3 |
| Self-Supervised Representation Learning with Meta Comprehensive Regularization |
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4 |
| Self-Training Based Few-Shot Node Classification by Knowledge Distillation |
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4 |
| SelfPromer: Self-Prompt Dehazing Transformers with Depth-Consistency |
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3 |
| SemTra: A Semantic Skill Translator for Cross-Domain Zero-Shot Policy Adaptation |
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2 |
| Semantic Complete Scene Forecasting from a 4D Dynamic Point Cloud Sequence |
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3 |
| Semantic Lens: Instance-Centric Semantic Alignment for Video Super-resolution |
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5 |
| Semantic Segmentation in Multiple Adverse Weather Conditions with Domain Knowledge Retention |
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2 |
| Semantic-Aware Autoregressive Image Modeling for Visual Representation Learning |
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4 |
| Semantic-Aware Data Augmentation for Text-to-Image Synthesis |
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2 |
| Semantic-Aware Transformation-Invariant RoI Align |
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3 |
| Semantic-Guided Generative Image Augmentation Method with Diffusion Models for Image Classification |
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✅ |
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2 |
| Semantic-Guided Novel Category Discovery |
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❌ |
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5 |
| Semi-Supervised Blind Image Quality Assessment through Knowledge Distillation and Incremental Learning |
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✅ |
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3 |
| Semi-supervised 3D Object Detection with PatchTeacher and PillarMix |
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✅ |
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4 |
| Semi-supervised Active Learning for Video Action Detection |
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✅ |
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4 |
| Semi-supervised Class-Agnostic Motion Prediction with Pseudo Label Regeneration and BEVMix |
✅ |
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❌ |
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6 |
| Semi-supervised Learning of Dynamical Systems with Neural Ordinary Differential Equations: A Teacher-Student Model Approach |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
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2 |
| Semi-supervised Open-World Object Detection |
❌ |
✅ |
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❌ |
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3 |
| Semi-supervised TEE Segmentation via Interacting with SAM Equipped with Noise-Resilient Prompting |
✅ |
❌ |
❌ |
❌ |
✅ |
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3 |
| Separate the Wheat from the Chaff: Model Deficiency Unlearning via Parameter-Efficient Module Operation |
✅ |
✅ |
✅ |
❌ |
❌ |
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5 |
| SeqGPT: An Out-of-the-Box Large Language Model for Open Domain Sequence Understanding |
❌ |
✅ |
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❌ |
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3 |
| SeqRank: Sequential Ranking of Salient Objects |
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✅ |
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✅ |
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❌ |
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5 |
| Sequential Fusion Based Multi-Granularity Consistency for Space-Time Transformer Tracking |
❌ |
❌ |
✅ |
❌ |
✅ |
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4 |
| Set Prediction Guided by Semantic Concepts for Diverse Video Captioning |
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❌ |
✅ |
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❌ |
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4 |
| Settling Decentralized Multi-Agent Coordinated Exploration by Novelty Sharing |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Shadow Generation with Decomposed Mask Prediction and Attentive Shadow Filling |
❌ |
❌ |
✅ |
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✅ |
❌ |
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3 |
| ShapeBoost: Boosting Human Shape Estimation with Part-Based Parameterization and Clothing-Preserving Augmentation |
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❌ |
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3 |
| Shaping Up SHAP: Enhancing Stability through Layer-Wise Neighbor Selection |
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3 |
| ShareBERT: Embeddings Are Capable of Learning Hidden Layers |
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4 |
| Sharpness-Aware Model-Agnostic Long-Tailed Domain Generalization |
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❌ |
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4 |
| Shrinking Your TimeStep: Towards Low-Latency Neuromorphic Object Recognition with Spiking Neural Networks |
✅ |
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3 |
| Shuffled Deep Regression |
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5 |
| SiMA-Hand: Boosting 3D Hand-Mesh Reconstruction by Single-to-Multi-View Adaptation |
❌ |
❌ |
✅ |
❌ |
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3 |
| Signed Graph Neural Ordinary Differential Equation for Modeling Continuous-Time Dynamics |
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4 |
| SimCS: Simulation for Domain Incremental Online Continual Segmentation |
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3 |
| SimCalib: Graph Neural Network Calibration Based on Similarity between Nodes |
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✅ |
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2 |
| SimDistill: Simulated Multi-Modal Distillation for BEV 3D Object Detection |
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5 |
| SimPSI: A Simple Strategy to Preserve Spectral Information in Time Series Data Augmentation |
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❌ |
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6 |
| Simple Image-Level Classification Improves Open-Vocabulary Object Detection |
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4 |
| Simple Weak Coresets for Non-decomposable Classification Measures |
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3 |
| Simplicity Bias in Overparameterized Machine Learning |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Simplifying Complex Observation Models in Continuous POMDP Planning with Probabilistic Guarantees and Practice |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
1 |
| Simultaneous Optimization of Bid Shading and Internal Auction for Demand-Side Platforms |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
❌ |
1 |
| Situation-Dependent Causal Influence-Based Cooperative Multi-Agent Reinforcement Learning |
✅ |
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4 |
| SkeletonGait: Gait Recognition Using Skeleton Maps |
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3 |
| Sketch and Refine: Towards Fast and Accurate Lane Detection |
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5 |
| Sketched Newton Value Iteration for Large-Scale Markov Decision Processes |
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4 |
| SkipDiff: Adaptive Skip Diffusion Model for High-Fidelity Perceptual Image Super-resolution |
❌ |
❌ |
✅ |
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✅ |
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3 |
| SkyScript: A Large and Semantically Diverse Vision-Language Dataset for Remote Sensing |
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4 |
| SlowTrack: Increasing the Latency of Camera-Based Perception in Autonomous Driving Using Adversarial Examples |
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4 |
| Small Language Model Can Self-Correct |
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✅ |
❌ |
❌ |
❌ |
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1 |
| Social Physics Informed Diffusion Model for Crowd Simulation |
✅ |
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✅ |
❌ |
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3 |
| Social-Aware Group Display Configuration in VR Conference |
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4 |
| SocialCVAE: Predicting Pedestrian Trajectory via Interaction Conditioned Latents |
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✅ |
✅ |
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5 |
| SoftCLIP: Softer Cross-Modal Alignment Makes CLIP Stronger |
❌ |
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✅ |
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3 |
| Solving Satisfiability Modulo Counting for Symbolic and Statistical AI Integration with Provable Guarantees |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
4 |
| Solving Spectrum Unmixing as a Multi-Task Bayesian Inverse Problem with Latent Factors for Endmember Variability |
❌ |
❌ |
✅ |
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✅ |
✅ |
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4 |
| SoundCount: Sound Counting from Raw Audio with Dyadic Decomposition Neural Network |
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✅ |
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4 |
| SpFormer: Spatio-Temporal Modeling for Scanpaths with Transformer |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| SpaceGTN: A Time-Agnostic Graph Transformer Network for Handwritten Diagram Recognition and Segmentation |
❌ |
❌ |
✅ |
❌ |
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❌ |
❌ |
2 |
| Span Graph Transformer for Document-Level Named Entity Recognition |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Spanning the Spectrum of Hatred Detection: A Persian Multi-Label Hate Speech Dataset with Annotator Rationales |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Sparse Bayesian Deep Learning for Cross Domain Medical Image Reconstruction |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Sparse Enhanced Network: An Adversarial Generation Method for Robust Augmentation in Sequential Recommendation |
❌ |
✅ |
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✅ |
❌ |
❌ |
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4 |
| Sparse Variational Student-t Processes |
❌ |
❌ |
✅ |
✅ |
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❌ |
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4 |
| Sparse3D: Distilling Multiview-Consistent Diffusion for Object Reconstruction from Sparse Views |
❌ |
✅ |
✅ |
✅ |
✅ |
✅ |
✅ |
6 |
| SparseGNV: Generating Novel Views of Indoor Scenes with Sparse RGB-D Images |
❌ |
❌ |
✅ |
❌ |
✅ |
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3 |
| Spatial Transform Decoupling for Oriented Object Detection |
❌ |
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✅ |
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❌ |
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5 |
| Spatial Voting with Incomplete Voter Information |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| Spatial-Contextual Discrepancy Information Compensation for GAN Inversion |
❌ |
✅ |
✅ |
❌ |
✅ |
❌ |
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4 |
| Spatial-Related Sensors Matters: 3D Human Motion Reconstruction Assisted with Textual Semantics |
❌ |
❌ |
✅ |
❌ |
✅ |
✅ |
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4 |
| Spatial-Semantic Collaborative Cropping for User Generated Content |
❌ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
3 |
| Spatial-Temporal Interplay in Human Mobility: A Hierarchical Reinforcement Learning Approach with Hypergraph Representation |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Spatio-Temporal Fusion for Human Action Recognition via Joint Trajectory Graph |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| Spatio-Temporal Pivotal Graph Neural Networks for Traffic Flow Forecasting |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Spear and Shield: Adversarial Attacks and Defense Methods for Model-Based Link Prediction on Continuous-Time Dynamic Graphs |
❌ |
✅ |
✅ |
✅ |
✅ |
✅ |
✅ |
6 |
| Spectral Prompt Tuning: Unveiling Unseen Classes for Zero-Shot Semantic Segmentation |
❌ |
❌ |
✅ |
✅ |
✅ |
✅ |
✅ |
5 |
| Spectral-Based Graph Neural Networks for Complementary Item Recommendation |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| SpectralNeRF: Physically Based Spectral Rendering with Neural Radiance Field |
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✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Spectrum Translation for Refinement of Image Generation (STIG) Based on Contrastive Learning and Spectral Filter Profile |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| SphereDiffusion: Spherical Geometry-Aware Distortion Resilient Diffusion Model |
❌ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
3 |
| Spherical Pseudo-Cylindrical Representation for Omnidirectional Image Super-resolution |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| Spiking NeRF: Representing the Real-World Geometry by a Discontinuous Representation |
❌ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| SpikingBERT: Distilling BERT to Train Spiking Language Models Using Implicit Differentiation |
❌ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Spot the Error: Non-autoregressive Graphic Layout Generation with Wireframe Locator |
✅ |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
4 |
| Spotting the Unseen: Reciprocal Consensus Network Guided by Visual Archetypes |
❌ |
✅ |
✅ |
❌ |
✅ |
✅ |
✅ |
5 |
| Stability in Online Coalition Formation |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| Stability of Multi-Agent Learning in Competitive Networks: Delaying the Onset of Chaos |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
1 |
| Stable Model Semantics for Description Logic Terminologies |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Stable Unlearnable Example: Enhancing the Robustness of Unlearnable Examples via Stable Error-Minimizing Noise |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Statistical Spatially Inhomogeneous Diffusion Inference |
✅ |
❌ |
❌ |
❌ |
✅ |
❌ |
✅ |
3 |
| Stealthy Adversarial Attacks on Stochastic Multi-Armed Bandits |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
1 |
| StegFormer: Rebuilding the Glory of Autoencoder-Based Steganography |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| StegaStyleGAN: Towards Generic and Practical Generative Image Steganography |
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✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Step Vulnerability Guided Mean Fluctuation Adversarial Attack against Conditional Diffusion Models |
❌ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Stereo Vision Conversion from Planar Videos Based on Temporal Multiplane Images |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Sterling: Synergistic Representation Learning on Bipartite Graphs |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Stitching Segments and Sentences towards Generalization in Video-Text Pre-training |
❌ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
3 |
| Stitching Sub-trajectories with Conditional Diffusion Model for Goal-Conditioned Offline RL |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
❌ |
3 |
| Stochastic Bayesian Optimization with Unknown Continuous Context Distribution via Kernel Density Estimation |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
4 |
| StockMixer: A Simple Yet Strong MLP-Based Architecture for Stock Price Forecasting |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Stop! Planner Time: Metareasoning for Probabilistic Planning Using Learned Performance Profiles |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
2 |
| Strategyproof Mechanisms for Group-Fair Obnoxious Facility Location Problems |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Stratified GNN Explanations through Sufficient Expansion |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
❌ |
2 |
| Strong Baselines for Parameter-Efficient Few-Shot Fine-Tuning |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Structural Entropy Based Graph Structure Learning for Node Classification |
✅ |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
4 |
| Structural Information Enhanced Graph Representation for Link Prediction |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
❌ |
2 |
| Structural Information Guided Multimodal Pre-training for Vehicle-Centric Perception |
❌ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Structure-Aware Multimodal Sequential Learning for Visual Dialog |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| Structure-CLIP: Towards Scene Graph Knowledge to Enhance Multi-Modal Structured Representations |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Structured Probabilistic Coding |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Style2Talker: High-Resolution Talking Head Generation with Emotion Style and Art Style |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| StyleSinger: Style Transfer for Out-of-Domain Singing Voice Synthesis |
✅ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Submodel Enumeration for CTL Is Hard |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Successive POI Recommendation via Brain-Inspired Spatiotemporal Aware Representation |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Summarizing Stream Data for Memory-Constrained Online Continual Learning |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Sunshine to Rainstorm: Cross-Weather Knowledge Distillation for Robust 3D Object Detection |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| SuperJunction: Learning-Based Junction Detection for Retinal Image Registration |
❌ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Superposed Atomic Representation for Robust High-Dimensional Data Recovery of Multiple Low-Dimensional Structures |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Supervision Interpolation via LossMix: Generalizing Mixup for Object Detection and Beyond |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| Suppressing Uncertainty in Gaze Estimation |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| SurgicalSAM: Efficient Class Promptable Surgical Instrument Segmentation |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Swift-Mapping: Online Neural Implicit Dense Mapping in Urban Scenes |
❌ |
❌ |
✅ |
❌ |
✅ |
❌ |
❌ |
2 |
| SwiftPillars: High-Efficiency Pillar Encoder for Lidar-Based 3D Detection |
❌ |
❌ |
✅ |
✅ |
✅ |
✅ |
✅ |
5 |
| SwitchTab: Switched Autoencoders Are Effective Tabular Learners |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| SyFormer: Structure-Guided Synergism Transformer for Large-Portion Image Inpainting |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| Symbolic Cognitive Diagnosis via Hybrid Optimization for Intelligent Education Systems |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
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4 |
| Symbolic Numeric Planning with Patterns |
❌ |
✅ |
✅ |
❌ |
✅ |
✅ |
✅ |
5 |
| Symbolic Regression Enhanced Decision Trees for Classification Tasks |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
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4 |
| Symmetric Q-learning: Reducing Skewness of Bellman Error in Online Reinforcement Learning |
✅ |
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✅ |
❌ |
❌ |
❌ |
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3 |
| Symmetric Self-Paced Learning for Domain Generalization |
✅ |
✅ |
✅ |
❌ |
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❌ |
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5 |
| Sync-NeRF: Generalizing Dynamic NeRFs to Unsynchronized Videos |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Synergistic Anchored Contrastive Pre-training for Few-Shot Relation Extraction |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Synergistic Multiscale Detail Refinement via Intrinsic Supervision for Underwater Image Enhancement |
❌ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| T-SciQ: Teaching Multimodal Chain-of-Thought Reasoning via Large Language Model Signals for Science Question Answering |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
3 |
| T2I-Adapter: Learning Adapters to Dig Out More Controllable Ability for Text-to-Image Diffusion Models |
❌ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| T2MAC: Targeted and Trusted Multi-Agent Communication through Selective Engagement and Evidence-Driven Integration |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| TA&AT: Enhancing Task-Oriented Dialog with Turn-Level Auxiliary Tasks and Action-Tree Based Scheduled Sampling |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| TACIT: A Target-Agnostic Feature Disentanglement Framework for Cross-Domain Text Classification |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| TAPE: Leveraging Agent Topology for Cooperative Multi-Agent Policy Gradient |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
❌ |
3 |
| TC-LIF: A Two-Compartment Spiking Neuron Model for Long-Term Sequential Modelling |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
❌ |
2 |
| TCI-Former: Thermal Conduction-Inspired Transformer for Infrared Small Target Detection |
❌ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
3 |
| TCNet: Continuous Sign Language Recognition from Trajectories and Correlated Regions |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| TDeLTA: A Light-Weight and Robust Table Detection Method Based on Learning Text Arrangement |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| TD²-Net: Toward Denoising and Debiasing for Video Scene Graph Generation |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| TEILP: Time Prediction over Knowledge Graphs via Logical Reasoning |
✅ |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
4 |
| TETRIS: Towards Exploring the Robustness of Interactive Segmentation |
❌ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
3 |
| TF-CLIP: Learning Text-Free CLIP for Video-Based Person Re-identification |
❌ |
✅ |
✅ |
❌ |
✅ |
❌ |
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4 |
| TIKP: Text-to-Image Knowledge Preservation for Continual Semantic Segmentation |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| TMFormer: Token Merging Transformer for Brain Tumor Segmentation with Missing Modalities |
❌ |
❌ |
✅ |
✅ |
✅ |
✅ |
✅ |
5 |
| TMPNN: High-Order Polynomial Regression Based on Taylor Map Factorization |
✅ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
5 |
| TNPAR: Topological Neural Poisson Auto-Regressive Model for Learning Granger Causal Structure from Event Sequences |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
❌ |
1 |
| TOP-ReID: Multi-Spectral Object Re-identification with Token Permutation |
❌ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| TR-DETR: Task-Reciprocal Transformer for Joint Moment Retrieval and Highlight Detection |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| TREE-G: Decision Trees Contesting Graph Neural Networks |
✅ |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
4 |
| Tackling Vision Language Tasks through Learning Inner Monologues |
✅ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
6 |
| TagCLIP: A Local-to-Global Framework to Enhance Open-Vocabulary Multi-Label Classification of CLIP without Training |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| TagFog: Textual Anchor Guidance and Fake Outlier Generation for Visual Out-of-Distribution Detection |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Tail-STEAK: Improve Friend Recommendation for Tail Users via Self-Training Enhanced Knowledge Distillation |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Talk Funny! A Large-Scale Humor Response Dataset with Chain-of-Humor Interpretation |
❌ |
❌ |
❌ |
❌ |
✅ |
❌ |
✅ |
2 |
| Taming Binarized Neural Networks and Mixed-Integer Programs |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Taming the Sigmoid Bottleneck: Provably Argmaxable Sparse Multi-Label Classification |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Targeted Activation Penalties Help CNNs Ignore Spurious Signals |
❌ |
✅ |
✅ |
✅ |
✅ |
✅ |
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6 |
| Task Contamination: Language Models May Not Be Few-Shot Anymore |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
❌ |
1 |
| Task Planning for Object Rearrangement in Multi-Room Environments |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
❌ |
3 |
| Task-Adaptive Prompted Transformer for Cross-Domain Few-Shot Learning |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Task-Agnostic Privacy-Preserving Representation Learning for Federated Learning against Attribute Inference Attacks |
✅ |
✅ |
✅ |
❌ |
✅ |
✅ |
✅ |
6 |
| Task-Disruptive Background Suppression for Few-Shot Segmentation |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Task-Driven Causal Feature Distillation: Towards Trustworthy Risk Prediction |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
❌ |
1 |
| Task-Free Continual Generation and Representation Learning via Dynamic Expansionable Memory Cluster |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
4 |
| Task-Free Dynamic Sparse Vision Transformer for Continual Learning |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
4 |
| TaskLAMA: Probing the Complex Task Understanding of Language Models |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Taxonomy Driven Fast Adversarial Training |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
4 |
| Teacher as a Lenient Expert: Teacher-Agnostic Data-Free Knowledge Distillation |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Teaching Large Language Models to Translate with Comparison |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Temporal Adaptive RGBT Tracking with Modality Prompt |
❌ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
3 |
| Temporal Correlation Vision Transformer for Video Person Re-Identification |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Temporal Graph Contrastive Learning for Sequential Recommendation |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Temporal-Distributed Backdoor Attack against Video Based Action Recognition |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Temporally and Distributionally Robust Optimization for Cold-Start Recommendation |
✅ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
5 |
| Tensorized Label Learning on Anchor Graph |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
4 |
| Ternary Spike: Learning Ternary Spikes for Spiking Neural Networks |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Terrain Diffusion Network: Climatic-Aware Terrain Generation with Geological Sketch Guidance |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Test-Time Adaptation via Style and Structure Guidance for Histological Image Registration |
❌ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
3 |
| Test-Time Domain Adaptation by Learning Domain-Aware Batch Normalization |
✅ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
5 |
| Test-Time Personalization with Meta Prompt for Gaze Estimation |
✅ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Testing Self-Reducible Samplers |
✅ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
5 |
| TexFit: Text-Driven Fashion Image Editing with Diffusion Models |
❌ |
✅ |
✅ |
❌ |
✅ |
✅ |
✅ |
5 |
| Text Diffusion with Reinforced Conditioning |
❌ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
3 |
| Text Image Inpainting via Global Structure-Guided Diffusion Models |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
3 |
| Text-Based Occluded Person Re-identification via Multi-Granularity Contrastive Consistency Learning |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Text-Guided Molecule Generation with Diffusion Language Model |
✅ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
6 |
| Text-to-Image Generation for Abstract Concepts |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
❌ |
1 |
| Text2Analysis: A Benchmark of Table Question Answering with Advanced Data Analysis and Unclear Queries |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Text2City: One-Stage Text-Driven Urban Layout Regeneration |
❌ |
✅ |
✅ |
❌ |
✅ |
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4 |
| TextGT: A Double-View Graph Transformer on Text for Aspect-Based Sentiment Analysis |
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2 |
| The Causal Impact of Credit Lines on Spending Distributions |
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4 |
| The Choice of Noninformative Priors for Thompson Sampling in Multiparameter Bandit Models |
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1 |
| The Complexity of Computing Robust Mediated Equilibria in Ordinal Games |
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0 |
| The Complexity of Fair Division of Indivisible Items with Externalities |
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0 |
| The Complexity of Optimizing Atomic Congestion |
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0 |
| The Expected Loss of Preconditioned Langevin Dynamics Reveals the Hessian Rank |
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3 |
| The Irrelevance of Influencers: Information Diffusion with Re-Activation and Immunity Lasts Exponentially Long on Social Network Models |
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0 |
| The Logic of Doxastic Strategies |
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0 |
| The Moderating Effect of Instant Runoff Voting |
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1 |
| Theoretical Aspects of Generating Instances with Unique Solutions: Pre-assignment Models for Unique Vertex Cover |
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1 |
| Theoretical and Empirical Analysis of Cost-Function Merging for Implicit Hitting Set WCSP Solving |
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4 |
| Thompson Sampling for Real-Valued Combinatorial Pure Exploration of Multi-Armed Bandit |
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2 |
| Three Heads Are Better than One: Complementary Experts for Long-Tailed Semi-supervised Learning |
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6 |
| Three Heads Are Better than One: Improving Cross-Domain NER with Progressive Decomposed Network |
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2 |
| Threshold-Based Responsive Simulated Annealing for Directed Feedback Vertex Set Problem |
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5 |
| TiMix: Text-Aware Image Mixing for Effective Vision-Language Pre-training |
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4 |
| Time-Aware Knowledge Representations of Dynamic Objects with Multidimensional Persistence |
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2 |
| TimesURL: Self-Supervised Contrastive Learning for Universal Time Series Representation Learning |
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3 |
| Token-Level Contrastive Learning with Modality-Aware Prompting for Multimodal Intent Recognition |
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4 |
| Topic-VQ-VAE: Leveraging Latent Codebooks for Flexible Topic-Guided Document Generation |
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4 |
| TopoGCL: Topological Graph Contrastive Learning |
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4 |
| Toward Open-Set Human Object Interaction Detection |
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❌ |
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4 |
| Towards Automated Chinese Ancient Character Restoration: A Diffusion-Based Method with a New Dataset |
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✅ |
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✅ |
✅ |
❌ |
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6 |
| Towards Automated RISC-V Microarchitecture Design with Reinforcement Learning |
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✅ |
❌ |
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✅ |
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4 |
| Towards Balanced Alignment: Modal-Enhanced Semantic Modeling for Video Moment Retrieval |
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✅ |
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✅ |
✅ |
❌ |
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5 |
| Towards Compact 3D Representations via Point Feature Enhancement Masked Autoencoders |
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✅ |
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❌ |
❌ |
❌ |
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2 |
| Towards Continual Knowledge Graph Embedding via Incremental Distillation |
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❌ |
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4 |
| Towards Continual Learning Desiderata via HSIC-Bottleneck Orthogonalization and Equiangular Embedding |
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4 |
| Towards Detailed Text-to-Motion Synthesis via Basic-to-Advanced Hierarchical Diffusion Model |
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4 |
| Towards Diverse Perspective Learning with Selection over Multiple Temporal Poolings |
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4 |
| Towards Dynamic Spatial-Temporal Graph Learning: A Decoupled Perspective |
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❌ |
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5 |
| Towards Effective and General Graph Unlearning via Mutual Evolution |
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❌ |
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3 |
| Towards Efficient Diffusion-Based Image Editing with Instant Attention Masks |
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❌ |
✅ |
✅ |
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5 |
| Towards Efficient and Effective Text-to-Video Retrieval with Coarse-to-Fine Visual Representation Learning |
✅ |
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❌ |
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❌ |
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4 |
| Towards Epistemic-Doxastic Planning with Observation and Revision |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Towards Equipping Transformer with the Ability of Systematic Compositionality |
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❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
2 |
| Towards Evidential and Class Separable Open Set Object Detection |
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✅ |
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5 |
| Towards Explainable Joint Models via Information Theory for Multiple Intent Detection and Slot Filling |
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4 |
| Towards Fair Graph Federated Learning via Incentive Mechanisms |
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2 |
| Towards Fairness in Online Service with K Servers and Its Application on Fair Food Delivery |
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5 |
| Towards Fine-Grained HBOE with Rendered Orientation Set and Laplace Smoothing |
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✅ |
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4 |
| Towards Improved Proxy-Based Deep Metric Learning via Data-Augmented Domain Adaptation |
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✅ |
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✅ |
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❌ |
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6 |
| Towards Inductive Robustness: Distilling and Fostering Wave-Induced Resonance in Transductive GCNs against Graph Adversarial Attacks |
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❌ |
✅ |
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2 |
| Towards Learning and Explaining Indirect Causal Effects in Neural Networks |
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3 |
| Towards Making Learnware Specification and Market Evolvable |
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3 |
| Towards Model Extraction Attacks in GAN-Based Image Translation via Domain Shift Mitigation |
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1 |
| Towards Modeling Uncertainties of Self-Explaining Neural Networks via Conformal Prediction |
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3 |
| Towards More Faithful Natural Language Explanation Using Multi-Level Contrastive Learning in VQA |
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✅ |
✅ |
✅ |
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5 |
| Towards Multi-Intent Spoken Language Understanding via Hierarchical Attention and Optimal Transport |
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4 |
| Towards Multi-Mode Outlier Robust Tensor Ring Decomposition |
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3 |
| Towards Optimal Subsidy Bounds for Envy-Freeable Allocations |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Towards Real-World Test-Time Adaptation: Tri-net Self-Training with Balanced Normalization |
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✅ |
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❌ |
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❌ |
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4 |
| Towards Robust Image Stitching: An Adaptive Resistance Learning against Compatible Attacks |
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✅ |
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❌ |
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6 |
| Towards Running Time Analysis of Interactive Multi-Objective Evolutionary Algorithms |
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3 |
| Towards Safe Policy Learning under Partial Identifiability: A Causal Approach |
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4 |
| Towards Squeezing-Averse Virtual Try-On via Sequential Deformation |
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3 |
| Towards Stability and Generalization Bounds in Decentralized Minibatch Stochastic Gradient Descent |
✅ |
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1 |
| Towards Transferable Adversarial Attacks with Centralized Perturbation |
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3 |
| Towards Understanding Future: Consistency Guided Probabilistic Modeling for Action Anticipation |
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✅ |
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3 |
| Towards a Theoretical Understanding of Why Local Search Works for Clustering with Fair-Center Representation |
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1 |
| Towards the Disappearing Truth: Fine-Grained Joint Causal Influences Learning with Hidden Variable-Driven Causal Hypergraphs in Time Series |
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❌ |
✅ |
❌ |
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❌ |
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1 |
| Towards the Robustness of Differentially Private Federated Learning |
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3 |
| TraceEvader: Making DeepFakes More Untraceable via Evading the Forgery Model Attribution |
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1 |
| Traffic Flow Optimisation for Lifelong Multi-Agent Path Finding |
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4 |
| Training-Free Quantum Architecture Search |
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3 |
| TransGOP: Transformer-Based Gaze Object Prediction |
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4 |
| Transfer and Alignment Network for Generalized Category Discovery |
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3 |
| Transferable Adversarial Attacks for Object Detection Using Object-Aware Significant Feature Distortion |
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❌ |
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3 |
| Transferable Video Moment Localization by Moment-Guided Query Prompting |
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4 |
| Transformer as Linear Expansion of Learngene |
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3 |
| Transformer-Based No-Reference Image Quality Assessment via Supervised Contrastive Learning |
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4 |
| Transformer-Based Selective Super-resolution for Efficient Image Refinement |
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4 |
| Transformer-Based Video-Structure Multi-Instance Learning for Whole Slide Image Classification |
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3 |
| Transient Glimpses: Unveiling Occluded Backgrounds through the Spike Camera |
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3 |
| Transition-Informed Reinforcement Learning for Large-Scale Stackelberg Mean-Field Games |
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3 |
| Transitivity-Preserving Graph Representation Learning for Bridging Local Connectivity and Role-Based Similarity |
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5 |
| Translate Meanings, Not Just Words: IdiomKB’s Role in Optimizing Idiomatic Translation with Language Models |
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2 |
| Transportable Representations for Domain Generalization |
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0 |
| Trash to Treasure: Low-Light Object Detection via Decomposition-and-Aggregation |
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❌ |
✅ |
❌ |
❌ |
❌ |
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2 |
| Tree Search-Based Evolutionary Bandits for Protein Sequence Optimization |
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3 |
| Tree-of-Reasoning Question Decomposition for Complex Question Answering with Large Language Models |
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2 |
| Trend-Aware Supervision: On Learning Invariance for Semi-supervised Facial Action Unit Intensity Estimation |
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❌ |
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4 |
| TriSampler: A Better Negative Sampling Principle for Dense Retrieval |
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❌ |
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5 |
| Triple Feature Disentanglement for One-Stage Adaptive Object Detection |
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❌ |
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3 |
| Trust Region Methods for Nonconvex Stochastic Optimization beyond Lipschitz Smoothness |
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✅ |
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❌ |
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3 |
| Tuning-Free Inversion-Enhanced Control for Consistent Image Editing |
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❌ |
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3 |
| TurboSVM-FL: Boosting Federated Learning through SVM Aggregation for Lazy Clients |
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✅ |
✅ |
✅ |
❌ |
❌ |
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5 |
| Turning Dust into Gold: Distilling Complex Reasoning Capabilities from LLMs by Leveraging Negative Data |
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✅ |
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❌ |
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❌ |
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3 |
| Turning Waste into Wealth: Leveraging Low-Quality Samples for Enhancing Continuous Conditional Generative Adversarial Networks |
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✅ |
✅ |
❌ |
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❌ |
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4 |
| Twice Class Bias Correction for Imbalanced Semi-supervised Learning |
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✅ |
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4 |
| Two-Stage Evolutionary Reinforcement Learning for Enhancing Exploration and Exploitation |
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❌ |
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3 |
| U-Mixer: An Unet-Mixer Architecture with Stationarity Correction for Time Series Forecasting |
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❌ |
✅ |
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4 |
| U-trustworthy Models. Reliability, Competence, and Confidence in Decision-Making |
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❌ |
❌ |
✅ |
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1 |
| UCMCTrack: Multi-Object Tracking with Uniform Camera Motion Compensation |
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✅ |
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❌ |
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4 |
| UFDA: Universal Federated Domain Adaptation with Practical Assumptions |
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❌ |
✅ |
✅ |
✅ |
❌ |
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4 |
| UMIE: Unified Multimodal Information Extraction with Instruction Tuning |
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✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| UNEX-RL: Reinforcing Long-Term Rewards in Multi-Stage Recommender Systems with UNidirectional EXecution |
✅ |
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✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| UPDP: A Unified Progressive Depth Pruner for CNN and Vision Transformer |
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❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| UVAGaze: Unsupervised 1-to-2 Views Adaptation for Gaze Estimation |
✅ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
5 |
| Uncertainty Quantification for Data-Driven Change-Point Learning via Cross-Validation |
❌ |
❌ |
✅ |
✅ |
✅ |
✅ |
✅ |
5 |
| Uncertainty Quantification for Forward and Inverse Problems of PDEs via Latent Global Evolution |
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✅ |
❌ |
❌ |
❌ |
❌ |
✅ |
2 |
| Uncertainty Quantification in Heterogeneous Treatment Effect Estimation with Gaussian-Process-Based Partially Linear Model |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
❌ |
2 |
| Uncertainty Regularized Evidential Regression |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
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3 |
| Uncertainty-Aware GAN for Single Image Super Resolution |
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❌ |
✅ |
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3 |
| Uncertainty-Aware Yield Prediction with Multimodal Molecular Features |
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✅ |
✅ |
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❌ |
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5 |
| Uncovering and Mitigating the Hidden Chasm: A Study on the Text-Text Domain Gap in Euphemism Identification |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
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4 |
| Underspecification in Language Modeling Tasks: A Causality-Informed Study of Gendered Pronoun Resolution |
❌ |
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✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Understanding Distributed Representations of Concepts in Deep Neural Networks without Supervision |
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❌ |
✅ |
❌ |
❌ |
❌ |
❌ |
2 |
| Understanding and Improving Optimization in Predictive Coding Networks |
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❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Understanding and Leveraging the Learning Phases of Neural Networks |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
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3 |
| Understanding the Generalization of Pretrained Diffusion Models on Out-of-Distribution Data |
✅ |
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❌ |
❌ |
❌ |
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3 |
| Understanding the Role of the Projector in Knowledge Distillation |
❌ |
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❌ |
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4 |
| Underwater Organism Color Fine-Tuning via Decomposition and Guidance |
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✅ |
✅ |
❌ |
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❌ |
✅ |
3 |
| Uni-MIS: United Multiple Intent Spoken Language Understanding via Multi-View Intent-Slot Interaction |
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❌ |
✅ |
✅ |
✅ |
❌ |
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4 |
| UniADS: Universal Architecture-Distiller Search for Distillation Gap |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| UniAP: Towards Universal Animal Perception in Vision via Few-Shot Learning |
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❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
3 |
| UniCATS: A Unified Context-Aware Text-to-Speech Framework with Contextual VQ-Diffusion and Vocoding |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| UniCell: Universal Cell Nucleus Classification via Prompt Learning |
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✅ |
✅ |
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❌ |
✅ |
5 |
| UniGen: A Unified Generative Framework for Retrieval and Question Answering with Large Language Models |
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❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
3 |
| Unified Framework for Diffusion Generative Models in SO(3): Applications in Computer Vision and Astrophysics |
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2 |
| Unify Named Entity Recognition Scenarios via Contrastive Real-Time Updating Prototype |
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4 |
| Unifying Decision and Function Queries in Stochastic Boolean Satisfiability |
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5 |
| Unifying Multi-Modal Uncertainty Modeling and Semantic Alignment for Text-to-Image Person Re-identification |
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4 |
| Unifying Visual and Vision-Language Tracking via Contrastive Learning |
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5 |
| Union Subgraph Neural Networks |
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3 |
| Unit Selection with Nonbinary Treatment and Effect |
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1 |
| United We Stand: Accelerating Privacy-Preserving Neural Inference by Conjunctive Optimization with Interleaved Nexus |
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2 |
| United We Stand: Using Epoch-Wise Agreement of Ensembles to Combat Overfit |
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3 |
| Universal Weak Coreset |
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0 |
| Unknown-Aware Graph Regularization for Robust Semi-supervised Learning from Uncurated Data |
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4 |
| Unlocking the Power of Open Set: A New Perspective for Open-Set Noisy Label Learning |
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2 |
| Unraveling Batch Normalization for Realistic Test-Time Adaptation |
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5 |
| Unravelling Expressive Delegations: Complexity and Normative Analysis |
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0 |
| Unsupervised Action Segmentation via Fast Learning of Semantically Consistent Actoms |
✅ |
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❌ |
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✅ |
4 |
| Unsupervised Continual Anomaly Detection with Contrastively-Learned Prompt |
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3 |
| Unsupervised Cross-Domain Image Retrieval via Prototypical Optimal Transport |
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3 |
| Unsupervised Domain Adaptative Temporal Sentence Localization with Mutual Information Maximization |
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✅ |
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3 |
| Unsupervised Extractive Summarization with Learnable Length Control Strategies |
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✅ |
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3 |
| Unsupervised Gene-Cell Collective Representation Learning with Optimal Transport |
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4 |
| Unsupervised Group Re-identification via Adaptive Clustering-Driven Progressive Learning |
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2 |
| Unsupervised Layer-Wise Score Aggregation for Textual OOD Detection |
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✅ |
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1 |
| Unsupervised Neighborhood Propagation Kernel Layers for Semi-supervised Node Classification |
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❌ |
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5 |
| Unsupervised Object Interaction Learning with Counterfactual Dynamics Models |
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0 |
| Unsupervised Pan-Sharpening via Mutually Guided Detail Restoration |
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3 |
| Unsupervised Training Sequence Design: Efficient and Generalizable Agent Training |
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4 |
| Unveiling Details in the Dark: Simultaneous Brightening and Zooming for Low-Light Image Enhancement |
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4 |
| Unveiling Implicit Deceptive Patterns in Multi-Modal Fake News via Neuro-Symbolic Reasoning |
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2 |
| Unveiling the Significance of Toddler-Inspired Reward Transition in Goal-Oriented Reinforcement Learning |
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1 |
| Upper Bounding Barlow Twins: A Novel Filter for Multi-Relational Clustering |
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4 |
| Urban Region Embedding via Multi-View Contrastive Prediction |
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4 |
| Using Artificial Populations to Study Psychological Phenomena in Neural Models |
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4 |
| Using Clustering to Strengthen Decision Diagram Bounds for Discrete Optimization |
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5 |
| Using Stratified Sampling to Improve LIME Image Explanations |
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5 |
| Using Symmetries to Lift Satisfiability Checking |
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5 |
| V2A-Mapper: A Lightweight Solution for Vision-to-Audio Generation by Connecting Foundation Models |
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3 |
| V2Meow: Meowing to the Visual Beat via Video-to-Music Generation |
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3 |
| VELMA: Verbalization Embodiment of LLM Agents for Vision and Language Navigation in Street View |
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5 |
| VIGC: Visual Instruction Generation and Correction |
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4 |
| VITA: ‘Carefully Chosen and Weighted Less’ Is Better in Medication Recommendation |
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4 |
| VIXEN: Visual Text Comparison Network for Image Difference Captioning |
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5 |
| VLCounter: Text-Aware Visual Representation for Zero-Shot Object Counting |
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5 |
| VLM2Scene: Self-Supervised Image-Text-LiDAR Learning with Foundation Models for Autonomous Driving Scene Understanding |
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5 |
| VLN-Video: Utilizing Driving Videos for Outdoor Vision-and-Language Navigation |
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3 |
| VMT-Adapter: Parameter-Efficient Transfer Learning for Multi-Task Dense Scene Understanding |
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4 |
| VPDETR: End-to-End Vanishing Point DEtection TRansformers |
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4 |
| VQ-FONT: Few-Shot Font Generation with Structure-Aware Enhancement and Quantization |
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3 |
| VQAttack: Transferable Adversarial Attacks on Visual Question Answering via Pre-trained Models |
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3 |
| VQCNIR: Clearer Night Image Restoration with Vector-Quantized Codebook |
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5 |
| VSFormer: Visual-Spatial Fusion Transformer for Correspondence Pruning |
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4 |
| VVS: Video-to-Video Retrieval with Irrelevant Frame Suppression |
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2 |
| VadCLIP: Adapting Vision-Language Models for Weakly Supervised Video Anomaly Detection |
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4 |
| Value Kaleidoscope: Engaging AI with Pluralistic Human Values, Rights, and Duties |
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6 |
| Value at Adversarial Risk: A Graph Defense Strategy against Cost-Aware Attacks |
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5 |
| Variable Importance in High-Dimensional Settings Requires Grouping |
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3 |
| Variance-Insensitive and Target-Preserving Mask Refinement for Interactive Image Segmentation |
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3 |
| Variational Hybrid-Attention Framework for Multi-Label Few-Shot Aspect Category Detection |
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5 |
| ViLT-CLIP: Video and Language Tuning CLIP with Multimodal Prompt Learning and Scenario-Guided Optimization |
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4 |
| ViSTec: Video Modeling for Sports Technique Recognition and Tactical Analysis |
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2 |
| ViT-Calibrator: Decision Stream Calibration for Vision Transformer |
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2 |
| ViTEraser: Harnessing the Power of Vision Transformers for Scene Text Removal with SegMIM Pretraining |
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4 |
| ViTree: Single-Path Neural Tree for Step-Wise Interpretable Fine-Grained Visual Categorization |
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2 |
| Video Event Extraction with Multi-View Interaction Knowledge Distillation |
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4 |
| Video Frame Prediction from a Single Image and Events |
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4 |
| Video-Context Aligned Transformer for Video Question Answering |
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2 |
| Vision Transformer Off-the-Shelf: A Surprising Baseline for Few-Shot Class-Agnostic Counting |
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4 |
| Vision-Language Pre-training with Object Contrastive Learning for 3D Scene Understanding |
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4 |
| Visual Chain-of-Thought Prompting for Knowledge-Based Visual Reasoning |
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5 |
| Visual Hallucination Elevates Speech Recognition |
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3 |
| Visual Instruction Tuning with Polite Flamingo |
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4 |
| Visual Redundancy Removal for Composite Images: A Benchmark Dataset and a Multi-Visual-Effects Driven Incremental Method |
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4 |
| Voxel or Pillar: Exploring Efficient Point Cloud Representation for 3D Object Detection |
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4 |
| W2P: Switching from Weak Supervision to Partial Supervision for Semantic Segmentation |
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3 |
| Wasserstein Differential Privacy |
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4 |
| Watch Your Head: Assembling Projection Heads to Save the Reliability of Federated Models |
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2 |
| Watermarking Conditional Text Generation for AI Detection: Unveiling Challenges and a Semantic-Aware Watermark Remedy |
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3 |
| WaveFormer: Wavelet Transformer for Noise-Robust Video Inpainting |
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4 |
| WaveNet: Tackling Non-stationary Graph Signals via Graph Spectral Wavelets |
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4 |
| Wavelet Dynamic Selection Network for Inertial Sensor Signal Enhancement |
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2 |
| Wavelet-Driven Spatiotemporal Predictive Learning: Bridging Frequency and Time Variations |
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4 |
| Weak Distribution Detectors Lead to Stronger Generalizability of Vision-Language Prompt Tuning |
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4 |
| WeakPCSOD: Overcoming the Bias of Box Annotations for Weakly Supervised Point Cloud Salient Object Detection |
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2 |
| Weakly Supervised Few-Shot Object Detection with DETR |
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3 |
| Weakly Supervised Multimodal Affordance Grounding for Egocentric Images |
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3 |
| Weakly Supervised Open-Vocabulary Object Detection |
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3 |
| Weakly Supervised Semantic Segmentation for Driving Scenes |
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4 |
| Weakly-Supervised Mirror Detection via Scribble Annotations |
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4 |
| Weakly-Supervised Temporal Action Localization by Inferring Salient Snippet-Feature |
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4 |
| WebVLN: Vision-and-Language Navigation on Websites |
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3 |
| WeditGAN: Few-Shot Image Generation via Latent Space Relocation |
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3 |
| Weighted Envy-Freeness for Submodular Valuations |
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1 |
| Weisfeiler and Lehman Go Paths: Learning Topological Features via Path Complexes |
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2 |
| Well, Now We Know! Unveiling Sarcasm: Initiating and Exploring Multimodal Conversations with Reasoning |
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4 |
| What Are the Rules? Discovering Constraints from Data |
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5 |
| What Do Hebbian Learners Learn? Reduction Axioms for Iterated Hebbian Learning |
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2 |
| What Does a Query Answer Tell You? Informativeness of Query Answers for Knowledge Bases |
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0 |
| What Effects the Generalization in Visual Reinforcement Learning: Policy Consistency with Truncated Return Prediction |
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3 |
| What Makes Good Collaborative Views? Contrastive Mutual Information Maximization for Multi-Agent Perception |
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5 |
| What Makes Quantization for Large Language Model Hard? An Empirical Study from the Lens of Perturbation |
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2 |
| What to Remember: Self-Adaptive Continual Learning for Audio Deepfake Detection |
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5 |
| When Are Two Lists Better than One?: Benefits and Harms in Joint Decision-Making |
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1 |
| When CEGAR Meets Regression: A Love Story in Optimal Classical Planning |
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5 |
| When Do Program-of-Thought Works for Reasoning? |
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4 |
| When Model Meets New Normals: Test-Time Adaptation for Unsupervised Time-Series Anomaly Detection |
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2 |
| When to Grow? A Fitting Risk-Aware Policy for Layer Growing in Deep Neural Networks |
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4 |
| When to Show a Suggestion? Integrating Human Feedback in AI-Assisted Programming |
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3 |
| Where and How to Attack? A Causality-Inspired Recipe for Generating Counterfactual Adversarial Examples |
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2 |
| Which Is More Effective in Label Noise Cleaning, Correction or Filtering? |
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3 |
| Who Knows the Answer? Finding the Best Model and Prompt for Each Query Using Confidence-Based Search |
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3 |
| WikiSQE: A Large-Scale Dataset for Sentence Quality Estimation in Wikipedia |
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4 |
| Wikiformer: Pre-training with Structured Information of Wikipedia for Ad-Hoc Retrieval |
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5 |
| Winnie: Task-Oriented Dialog System with Structure-Aware Contrastive Learning and Enhanced Policy Planning |
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4 |
| Working Memory Capacity of ChatGPT: An Empirical Study |
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2 |
| Worst-Case VCG Redistribution Mechanism Design Based on the Lottery Ticket Hypothesis |
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3 |
| X-RefSeg3D: Enhancing Referring 3D Instance Segmentation via Structured Cross-Modal Graph Neural Networks |
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4 |
| X4D-SceneFormer: Enhanced Scene Understanding on 4D Point Cloud Videos through Cross-Modal Knowledge Transfer |
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3 |
| XKD: Cross-Modal Knowledge Distillation with Domain Alignment for Video Representation Learning |
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4 |
| Xiezhi: An Ever-Updating Benchmark for Holistic Domain Knowledge Evaluation |
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4 |
| YTCommentQA: Video Question Answerability in Instructional Videos |
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4 |
| You Only Read Once: Constituency-Oriented Relational Graph Convolutional Network for Multi-Aspect Multi-Sentiment Classification |
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3 |
| Your Career Path Matters in Person-Job Fit |
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✅ |
2 |
| ZO-AdaMU Optimizer: Adapting Perturbation by the Momentum and Uncertainty in Zeroth-Order Optimization |
✅ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
6 |
| ZOOM: Learning Video Mirror Detection with Extremely-Weak Supervision |
❌ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
3 |
| Zero-1-to-3: Domain-Level Zero-Shot Cognitive Diagnosis via One Batch of Early-Bird Students towards Three Diagnostic Objectives |
❌ |
✅ |
❌ |
✅ |
✅ |
❌ |
✅ |
4 |
| Zero-Shot Aerial Object Detection with Visual Description Regularization |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Zero-Shot Task Adaptation with Relevant Feature Information |
✅ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Zero-Sum Games between Mean-Field Teams: Reachability-Based Analysis under Mean-Field Sharing |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
1 |
| Zhongjing: Enhancing the Chinese Medical Capabilities of Large Language Model through Expert Feedback and Real-World Multi-Turn Dialogue |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| eTag: Class-Incremental Learning via Embedding Distillation and Task-Oriented Generation |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
❌ |
3 |
| i-Rebalance: Personalized Vehicle Repositioning for Supply Demand Balance |
✅ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
5 |
| iDet3D: Towards Efficient Interactive Object Detection for LiDAR Point Clouds |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| msLPCC: A Multimodal-Driven Scalable Framework for Deep LiDAR Point Cloud Compression |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| p-Laplacian Adaptation for Generative Pre-trained Vision-Language Models |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| patchDPCC: A Patchwise Deep Compression Framework for Dynamic Point Clouds |
❌ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| s-ID: Causal Effect Identification in a Sub-population |
✅ |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
2 |
| z-SignFedAvg: A Unified Stochastic Sign-Based Compression for Federated Learning |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| ‘Why Didn’t You Allocate This Task to Them?’ Negotiation-Aware Task Allocation and Contrastive Explanation Generation |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |