| 3E-Solver: An Effortless, Easy-to-Update, and End-to-End Solver with Semi-Supervised Learning for Breaking Text-Based Captchas |
✅ |
✅ |
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✅ |
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5 |
| A Closed-Loop Perception, Decision-Making and Reasoning Mechanism for Human-Like Navigation |
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3 |
| A Computationally Grounded Logic of 'Seeing-to-it-that' |
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❌ |
❌ |
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0 |
| A Decoder-free Transformer-like Architecture for High-efficiency Single Image Deraining |
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✅ |
✅ |
❌ |
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2 |
| A Few Seconds Can Change Everything: Fast Decision-based Attacks against DNNs |
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4 |
| A Formal Model for Multiagent Q-Learning Dynamics on Regular Graphs |
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2 |
| A Multivariate Complexity Analysis of Qualitative Reasoning Problems |
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0 |
| A Native Qualitative Numeric Planning Solver Based on AND/OR Graph Search |
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✅ |
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❌ |
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5 |
| A Polynomial-time Decentralised Algorithm for Coordinated Management of Multiple Intersections |
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2 |
| A Probabilistic Code Balance Constraint with Compactness and Informativeness Enhancement for Deep Supervised Hashing |
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✅ |
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❌ |
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6 |
| A Reinforcement Learning-Informed Pattern Mining Framework for Multivariate Time Series Classification |
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3 |
| A Simple yet Effective Method for Graph Classification |
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✅ |
✅ |
❌ |
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5 |
| A Smart Trader for Portfolio Management based on Normalizing Flows |
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✅ |
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❌ |
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4 |
| A Solver + Gradient Descent Training Algorithm for Deep Neural Networks |
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✅ |
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❌ |
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6 |
| A Sparse-Motif Ensemble Graph Convolutional Network against Over-smoothing |
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✅ |
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❌ |
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4 |
| A Strengthened Branch and Bound Algorithm for the Maximum Common (Connected) Subgraph Problem |
✅ |
✅ |
✅ |
❌ |
✅ |
✅ |
✅ |
6 |
| A Unified Framework for Adversarial Attack and Defense in Constrained Feature Space |
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✅ |
✅ |
❌ |
❌ |
✅ |
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4 |
| A Unified Meta-Learning Framework for Dynamic Transfer Learning |
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✅ |
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❌ |
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✅ |
3 |
| A Unified Strategy for Multilingual Grammatical Error Correction with Pre-trained Cross-Lingual Language Model |
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❌ |
✅ |
✅ |
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❌ |
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4 |
| A Universal PINNs Method for Solving Partial Differential Equations with a Point Source |
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✅ |
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3 |
| A Weighting-Based Tabu Search Algorithm for the p-Next Center Problem |
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✅ |
✅ |
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5 |
| AQT: Adversarial Query Transformers for Domain Adaptive Object Detection |
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✅ |
✅ |
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4 |
| ARCANE: An Efficient Architecture for Exact Machine Unlearning |
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✅ |
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❌ |
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3 |
| Absolute Wrong Makes Better: Boosting Weakly Supervised Object Detection via Negative Deterministic Information |
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✅ |
✅ |
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❌ |
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4 |
| Abstract Argumentation Frameworks with Marginal Probabilities |
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❌ |
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❌ |
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0 |
| Abstract Rule Learning for Paraphrase Generation |
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❌ |
✅ |
✅ |
❌ |
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✅ |
3 |
| Accelerated Multiplicative Weights Update Avoids Saddle Points Almost Always |
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❌ |
❌ |
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2 |
| Achieving Envy-Freeness with Limited Subsidies under Dichotomous Valuations |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| Active Contrastive Set Mining for Robust Audio-Visual Instance Discrimination |
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❌ |
✅ |
❌ |
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❌ |
✅ |
2 |
| AdMix: A Mixed Sample Data Augmentation Method for Neural Machine Translation |
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✅ |
✅ |
✅ |
❌ |
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5 |
| Adapt to Adaptation: Learning Personalization for Cross-Silo Federated Learning |
✅ |
✅ |
✅ |
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4 |
| Adaptive Convolutional Dictionary Network for CT Metal Artifact Reduction |
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✅ |
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❌ |
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4 |
| Adaptive Information Belief Space Planning |
✅ |
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3 |
| Adaptive Long-Short Pattern Transformer for Stock Investment Selection |
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✅ |
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4 |
| Adversarial Bi-Regressor Network for Domain Adaptive Regression |
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✅ |
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2 |
| Adversarial Explanations for Knowledge Graph Embeddings |
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✅ |
✅ |
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4 |
| AllSATCC: Boosting AllSAT Solving with Efficient Component Analysis |
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✅ |
✅ |
❌ |
✅ |
✅ |
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6 |
| Ambiguity-Induced Contrastive Learning for Instance-Dependent Partial Label Learning |
✅ |
✅ |
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❌ |
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❌ |
✅ |
4 |
| An Analysis of the Linear Bilateral ANAC Domains Using the MiCRO Benchmark Strategy |
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✅ |
✅ |
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5 |
| An EF2X Allocation Protocol for Restricted Additive Valuations |
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1 |
| An Efficient Approach to Data Transfer Scheduling for Long Range Space Exploration |
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✅ |
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3 |
| An Exact MaxSAT Algorithm: Further Observations and Further Improvements |
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❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| An Online Learning Approach towards Far-sighted Emergency Relief Planning under Intentional Attacks in Conflict Areas |
✅ |
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✅ |
❌ |
✅ |
✅ |
✅ |
5 |
| Ancestral Instrument Method for Causal Inference without Complete Knowledge |
✅ |
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✅ |
❌ |
❌ |
❌ |
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2 |
| Annotated Sequent Calculi for Paraconsistent Reasoning and Their Relations to Logical Argumentation |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Anomaly Detection by Leveraging Incomplete Anomalous Knowledge with Anomaly-Aware Bidirectional GANs |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
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3 |
| Anti-Forgery: Towards a Stealthy and Robust DeepFake Disruption Attack via Adversarial Perceptual-aware Perturbations |
✅ |
✅ |
❌ |
❌ |
❌ |
❌ |
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2 |
| Anytime Capacity Expansion in Medical Residency Match by Monte Carlo Tree Search |
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✅ |
✅ |
❌ |
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3 |
| Approval with Runoff |
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✅ |
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2 |
| Approximate Exploitability: Learning a Best Response |
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4 |
| Approximate Strategyproof Mechanisms for the Additively Separable Group Activity Selection Problem |
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❌ |
❌ |
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❌ |
❌ |
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0 |
| Approximately EFX Allocations for Indivisible Chores |
✅ |
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❌ |
❌ |
❌ |
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1 |
| Aspect-based Sentiment Analysis with Opinion Tree Generation |
❌ |
❌ |
✅ |
✅ |
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❌ |
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4 |
| AttExplainer: Explain Transformer via Attention by Reinforcement Learning |
✅ |
✅ |
✅ |
❌ |
✅ |
❌ |
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5 |
| Attention-guided Contrastive Hashing for Long-tailed Image Retrieval |
✅ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
5 |
| Attributed Graph Clustering with Dual Redundancy Reduction |
✅ |
✅ |
✅ |
❌ |
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❌ |
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5 |
| Augmenting Anchors by the Detector Itself |
✅ |
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✅ |
✅ |
✅ |
✅ |
✅ |
7 |
| Augmenting Knowledge Graphs for Better Link Prediction |
❌ |
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❌ |
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4 |
| AutoAlign: Pixel-Instance Feature Aggregation for Multi-Modal 3D Object Detection |
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❌ |
✅ |
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❌ |
❌ |
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3 |
| Automated Program Analysis: Revisiting Precondition Inference through Constraint Acquisition |
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✅ |
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5 |
| Automated Synthesis of Mechanisms |
✅ |
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1 |
| Automatic Noisy Label Correction for Fine-Grained Entity Typing |
✅ |
✅ |
✅ |
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❌ |
❌ |
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5 |
| Automatic Recognition of Emotional Subgroups in Images |
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✅ |
✅ |
❌ |
❌ |
❌ |
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3 |
| Automatically Gating Multi-Frequency Patterns through Rectified Continuous Bernoulli Units with Theoretical Principles |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Axiomatic Foundations of Explainability |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| BandMaxSAT: A Local Search MaxSAT Solver with Multi-armed Bandit |
✅ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
6 |
| BayCon: Model-agnostic Bayesian Counterfactual Generator |
✅ |
✅ |
✅ |
❌ |
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5 |
| Best Heuristic Identification for Constraint Satisfaction |
✅ |
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❌ |
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❌ |
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4 |
| Better Collective Decisions via Uncertainty Reduction |
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0 |
| Better Embedding and More Shots for Few-shot Learning |
❌ |
❌ |
✅ |
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3 |
| Beyond Homophily: Structure-aware Path Aggregation Graph Neural Network |
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4 |
| Beyond Strong-Cyclic: Doing Your Best in Stochastic Environments |
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❌ |
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0 |
| Beyond the Prototype: Divide-and-conquer Proxies for Few-shot Segmentation |
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✅ |
✅ |
✅ |
✅ |
❌ |
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5 |
| BiCo-Net: Regress Globally, Match Locally for Robust 6D Pose Estimation |
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4 |
| BiFSMN: Binary Neural Network for Keyword Spotting |
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4 |
| Biased Majority Opinion Dynamics: Exploiting Graph k-domination |
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❌ |
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❌ |
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1 |
| Biological Instance Segmentation with a Superpixel-Guided Graph |
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5 |
| Body-Decoupled Grounding via Solving: A Novel Approach on the ASP Bottleneck |
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❌ |
❌ |
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5 |
| Boosting Multi-Label Image Classification with Complementary Parallel Self-Distillation |
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4 |
| Bootstrapping Informative Graph Augmentation via A Meta Learning Approach |
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4 |
| Boundary-Guided Camouflaged Object Detection |
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4 |
| Bounded Memory Adversarial Bandits with Composite Anonymous Delayed Feedback |
✅ |
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1 |
| Bridging Differential Privacy and Byzantine-Robustness via Model Aggregation |
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4 |
| Bridging the Gap between Reality and Ideality of Entity Matching: A Revisiting and Benchmark Re-Construction |
✅ |
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✅ |
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4 |
| Budgeted Sequence Submodular Maximization |
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4 |
| C3-STISR: Scene Text Image Super-resolution with Triple Clues |
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5 |
| CADET: Calibrated Anomaly Detection for Mitigating Hardness Bias |
✅ |
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3 |
| CARD: Semi-supervised Semantic Segmentation via Class-agnostic Relation based Denoising |
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3 |
| CAT: Customized Adversarial Training for Improved Robustness |
✅ |
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❌ |
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6 |
| CATrans: Context and Affinity Transformer for Few-Shot Segmentation |
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✅ |
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4 |
| CCLF: A Contrastive-Curiosity-Driven Learning Framework for Sample-Efficient Reinforcement Learning |
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4 |
| CERT: Continual Pre-training on Sketches for Library-oriented Code Generation |
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4 |
| CGMN: A Contrastive Graph Matching Network for Self-Supervised Graph Similarity Learning |
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❌ |
✅ |
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❌ |
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3 |
| COMET Flows: Towards Generative Modeling of Multivariate Extremes and Tail Dependence |
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✅ |
❌ |
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3 |
| CTL-MTNet: A Novel CapsNet and Transfer Learning-Based Mixed Task Net for Single-Corpus and Cross-Corpus Speech Emotion Recognition |
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4 |
| CUP: Curriculum Learning based Prompt Tuning for Implicit Event Argument Extraction |
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5 |
| Can Abnormality be Detected by Graph Neural Networks? |
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3 |
| Can Buyers Reveal for a Better Deal? |
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0 |
| Can We Find Neurons that Cause Unrealistic Images in Deep Generative Networks? |
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3 |
| CauAIN: Causal Aware Interaction Network for Emotion Recognition in Conversations |
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3 |
| Causes of Effects: Learning Individual Responses from Population Data |
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0 |
| Certified Robustness via Randomized Smoothing over Multiplicative Parameters of Input Transformations |
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2 |
| Charge Prediction by Constitutive Elements Matching of Crimes |
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5 |
| ChimeraMix: Image Classification on Small Datasets via Masked Feature Mixing |
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2 |
| Clickbait Detection via Contrastive Variational Modelling of Text and Label |
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✅ |
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3 |
| Cluster Attack: Query-based Adversarial Attacks on Graph with Graph-Dependent Priors |
❌ |
❌ |
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2 |
| Coherent Probabilistic Aggregate Queries on Long-horizon Forecasts |
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4 |
| Combining Constraint Solving and Bayesian Techniques for System Optimization |
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3 |
| Communicative Subgraph Representation Learning for Multi-Relational Inductive Drug-Gene Interaction Prediction |
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4 |
| Community Question Answering Entity Linking via Leveraging Auxiliary Data |
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5 |
| Comparison Knowledge Translation for Generalizable Image Classification |
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2 |
| Competitive Analysis for Multi-Commodity Ski-Rental Problem |
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3 |
| Completeness and Diversity in Depth-First Proof-Number Search with Applications to Retrosynthesis |
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2 |
| Composing Neural Learning and Symbolic Reasoning with an Application to Visual Discrimination |
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2 |
| Computing Concept Referring Expressions for Queries on Horn ALC Ontologies |
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5 |
| Conditional Independence for Iterated Belief Revision |
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0 |
| Considering Constraint Monotonicity and Foundedness in Answer Set Programming |
❌ |
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❌ |
❌ |
❌ |
0 |
| Constrained Adaptive Projection with Pretrained Features for Anomaly Detection |
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✅ |
❌ |
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2 |
| Contests to Incentivize a Target Group |
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❌ |
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❌ |
❌ |
0 |
| Continual Federated Learning Based on Knowledge Distillation |
❌ |
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✅ |
✅ |
❌ |
❌ |
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4 |
| Continual Semantic Segmentation Leveraging Image-level Labels and Rehearsal |
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❌ |
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4 |
| Contrastive Graph Transformer Network for Personality Detection |
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4 |
| Contrastive Multi-view Hyperbolic Hierarchical Clustering |
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2 |
| Control Globally, Understand Locally: A Global-to-Local Hierarchical Graph Network for Emotional Support Conversation |
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3 |
| Conversational Semantic Role Labeling with Predicate-Oriented Latent Graph |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Copy Motion From One to Another: Fake Motion Video Generation |
❌ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Corner Affinity: A Robust Grouping Algorithm to Make Corner-guided Detector Great Again |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Correlation-Based Algorithm for Team-Maxmin Equilibrium in Multiplayer Extensive-Form Games |
❌ |
✅ |
✅ |
❌ |
✅ |
✅ |
✅ |
5 |
| Cost Ensemble with Gradient Selecting for GANs |
✅ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Counterfactual Interpolation Augmentation (CIA): A Unified Approach to Enhance Fairness and Explainability of DNN |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Cross-modal Representation Learning and Relation Reasoning for Bidirectional Adaptive Manipulation |
❌ |
❌ |
✅ |
❌ |
✅ |
❌ |
❌ |
2 |
| CrowdFormer: An Overlap Patching Vision Transformer for Top-Down Crowd Counting |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Cumulative Stay-time Representation for Electronic Health Records in Medical Event Time Prediction |
✅ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Curriculum-Based Self-Training Makes Better Few-Shot Learners for Data-to-Text Generation |
✅ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
5 |
| D-DPCC: Deep Dynamic Point Cloud Compression via 3D Motion Prediction |
❌ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
3 |
| DANet: Image Deraining via Dynamic Association Learning |
❌ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
3 |
| DDDM: A Brain-Inspired Framework for Robust Classification |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| DPSampler: Exact Weighted Sampling Using Dynamic Programming |
✅ |
✅ |
✅ |
❌ |
✅ |
✅ |
✅ |
6 |
| DPVI: A Dynamic-Weight Particle-Based Variational Inference Framework |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
2 |
| Data Augmentation for Learning to Play in Text-Based Games |
✅ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
5 |
| Data-Efficient Backdoor Attacks |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
4 |
| Data-Free Adversarial Knowledge Distillation for Graph Neural Networks |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Decentralized Unsupervised Learning of Visual Representations |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Declaration-based Prompt Tuning for Visual Question Answering |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Deep Graph Matching for Partial Label Learning |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Deep Video Harmonization With Color Mapping Consistency |
❌ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| DeepExtrema: A Deep Learning Approach for Forecasting Block Maxima in Time Series Data |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Deexaggeration |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Degradation Accordant Plug-and-Play for Low-Rank Tensor Completion |
❌ |
✅ |
✅ |
❌ |
✅ |
❌ |
❌ |
3 |
| Detecting Out-Of-Context Objects Using Graph Contextual Reasoning Network |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| DictBERT: Dictionary Description Knowledge Enhanced Language Model Pre-training via Contrastive Learning |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Discrete Listwise Personalized Ranking for Fast Top-N Recommendation with Implicit Feedback |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Disentangling the Computational Complexity of Network Untangling |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Distilling Governing Laws and Source Input for Dynamical Systems from Videos |
❌ |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| Distilling Inter-Class Distance for Semantic Segmentation |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Distortion in Voting with Top-t Preferences |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Dite-HRNet: Dynamic Lightweight High-Resolution Network for Human Pose Estimation |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Diversity Features Enhanced Prototypical Network for Few-shot Intent Detection |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Document-level Event Factuality Identification via Reinforced Multi-Granularity Hierarchical Attention Networks |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
3 |
| Document-level Relation Extraction via Subgraph Reasoning |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Domain Adaptation via Maximizing Surrogate Mutual Information |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
3 |
| Domain Adversarial Learning for Color Constancy |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Domain Generalization through the Lens of Angular Invariance |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Domain-Adaptive Text Classification with Structured Knowledge from Unlabeled Data |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Don’t Touch What Matters: Task-Aware Lipschitz Data Augmentation for Visual Reinforcement Learning |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
❌ |
1 |
| Double-Check Soft Teacher for Semi-Supervised Object Detection |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Doubly Sparse Asynchronous Learning for Stochastic Composite Optimization |
✅ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| DyGRAIN: An Incremental Learning Framework for Dynamic Graphs |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
❌ |
2 |
| Dynamic Car Dispatching and Pricing: Revenue and Fairness for Ridesharing Platforms |
✅ |
❌ |
✅ |
❌ |
✅ |
✅ |
✅ |
5 |
| Dynamic Domain Generalization |
❌ |
✅ |
✅ |
❌ |
✅ |
✅ |
✅ |
5 |
| Dynamic Graph Learning Based on Hierarchical Memory for Origin-Destination Demand Prediction |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Dynamic Group Transformer: A General Vision Transformer Backbone with Dynamic Group Attention |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Dynamic Sparse Training for Deep Reinforcement Learning |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
4 |
| EGCN: An Ensemble-based Learning Framework for Exploring Effective Skeleton-based Rehabilitation Exercise Assessment |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| EMGC²F: Efficient Multi-view Graph Clustering with Comprehensive Fusion |
✅ |
❌ |
✅ |
❌ |
✅ |
✅ |
✅ |
5 |
| ER-SAN: Enhanced-Adaptive Relation Self-Attention Network for Image Captioning |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| EditSinger: Zero-Shot Text-Based Singing Voice Editing System with Diverse Prosody Modeling |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Effective Graph Context Representation for Document-level Machine Translation |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| Efficient Algorithms for Monotone Non-Submodular Maximization with Partition Matroid Constraint |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Efficient Budgeted Graph Search |
✅ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
5 |
| Efficient Document-level Event Extraction via Pseudo-Trigger-aware Pruned Complete Graph |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Efficient Multi-Agent Communication via Shapley Message Value |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
4 |
| Efficient Neural Neighborhood Search for Pickup and Delivery Problems |
✅ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
5 |
| Efficient Resource Allocation with Secretive Agents |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
1 |
| Efficient and Accurate Conversion of Spiking Neural Network with Burst Spikes |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
4 |
| Eliminating Backdoor Triggers for Deep Neural Networks Using Attention Relation Graph Distillation |
❌ |
✅ |
✅ |
✅ |
✅ |
✅ |
✅ |
6 |
| Emotion-Controllable Generalized Talking Face Generation |
❌ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
3 |
| Empirical Bayesian Approaches for Robust Constraint-based Causal Discovery under Insufficient Data |
❌ |
❌ |
✅ |
❌ |
✅ |
❌ |
❌ |
2 |
| Encoding Probabilistic Graphical Models into Stochastic Boolean Satisfiability |
❌ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
3 |
| End-to-End Open-Set Semi-Supervised Node Classification with Out-of-Distribution Detection |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Enhancing Entity Representations with Prompt Learning for Biomedical Entity Linking |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Enhancing Sequential Recommendation with Graph Contrastive Learning |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Enhancing Text Generation via Multi-Level Knowledge Aware Reasoning |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Enhancing Unsupervised Domain Adaptation via Semantic Similarity Constraint for Medical Image Segmentation |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Enhancing the Transferability of Adversarial Examples with Random Patch |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
4 |
| Ensemble Multi-Relational Graph Neural Networks |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
4 |
| Entity Alignment with Reliable Path Reasoning and Relation-aware Heterogeneous Graph Transformer |
✅ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
6 |
| Entity-aware and Motion-aware Transformers for Language-driven Action Localization |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Environment Design for Biased Decision Makers |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
2 |
| Envy-Free and Pareto-Optimal Allocations for Agents with Asymmetric Random Valuations |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
2 |
| Epistemic Logic of Likelihood and Belief |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Escaping Feature Twist: A Variational Graph Auto-Encoder for Node Clustering |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
❌ |
2 |
| Estimation and Comparison of Linear Regions for ReLU Networks |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Event-driven Video Deblurring via Spatio-Temporal Relation-Aware Network |
❌ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Evolutionary Approach to Security Games with Signaling |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Exchangeability-Aware Sum-Product Networks |
✅ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
5 |
| Explaining Preferences by Multiple Patterns in Voters’ Behavior |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Explaining Soft-Goal Conflicts through Constraint Relaxations |
✅ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
5 |
| Explaining the Behaviour of Hybrid Systems with PDDL+ Planning |
❌ |
❌ |
✅ |
❌ |
✅ |
✅ |
✅ |
4 |
| Explanations for Negative Query Answers under Inconsistency-Tolerant Semantics |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Explicit Alignment Learning for Neural Machine Translation |
✅ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Exploring Binary Classification Hidden within Partial Label Learning |
✅ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Exploring Fourier Prior for Single Image Rain Removal |
❌ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Exploring the Benefits of Teams in Multiagent Learning |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Exploring the Vulnerability of Deep Reinforcement Learning-based Emergency Control for Low Carbon Power Systems |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
❌ |
2 |
| FAITH: Few-Shot Graph Classification with Hierarchical Task Graphs |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| FLS: A New Local Search Algorithm for K-means with Smaller Search Space |
✅ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| FOGS: First-Order Gradient Supervision with Learning-based Graph for Traffic Flow Forecasting |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
✅ |
5 |
| FQ-ViT: Post-Training Quantization for Fully Quantized Vision Transformer |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Fair Equilibria in Sponsored Search Auctions: The Advertisers’ Perspective |
❌ |
❌ |
❌ |
❌ |
✅ |
❌ |
✅ |
2 |
| Fair, Individually Rational and Cheap Adjustment |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| Fairness without the Sensitive Attribute via Causal Variational Autoencoder |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Fallacious Argument Classification in Political Debates |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
✅ |
4 |
| Fast and Fine-grained Autoscaler for Streaming Jobs with Reinforcement Learning |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| FastDiff: A Fast Conditional Diffusion Model for High-Quality Speech Synthesis |
✅ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| FastRE: Towards Fast Relation Extraction with Convolutional Encoder and Improved Cascade Binary Tagging Framework |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Feature Dense Relevance Network for Single Image Dehazing |
❌ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
3 |
| Feature and Instance Joint Selection: A Reinforcement Learning Perspective |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| FedCG: Leverage Conditional GAN for Protecting Privacy and Maintaining Competitive Performance in Federated Learning |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| FedDUAP: Federated Learning with Dynamic Update and Adaptive Pruning Using Shared Data on the Server |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
❌ |
2 |
| Federated Learning on Heterogeneous and Long-Tailed Data via Classifier Re-Training with Federated Features |
✅ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
5 |
| Federated Multi-Task Attention for Cross-Individual Human Activity Recognition |
✅ |
✅ |
✅ |
✅ |
✅ |
✅ |
✅ |
7 |
| Few-Shot Adaptation of Pre-Trained Networks for Domain Shift |
❌ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
3 |
| Filtration-Enhanced Graph Transformation |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Fine-Tuning Graph Neural Networks via Graph Topology Induced Optimal Transport |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
❌ |
3 |
| Fine-grained Complexity of Partial Minimum Satisfiability |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Fixed-Budget Best-Arm Identification in Structured Bandits |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
2 |
| Fixing Knockout Tournaments With Seeds |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Forgiving Debt in Financial Network Games |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Forming Effective Human-AI Teams: Building Machine Learning Models that Complement the Capabilities of Multiple Experts |
✅ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
5 |
| Fourier Analysis-based Iterative Combinatorial Auctions |
✅ |
✅ |
✅ |
❌ |
✅ |
✅ |
✅ |
6 |
| Frontiers and Exact Learning of ELI Queries under DL-Lite Ontologies |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| Function-words Adaptively Enhanced Attention Networks for Few-Shot Inverse Relation Classification |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Fusion Label Enhancement for Multi-Label Learning |
✅ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
6 |
| GL-RG: Global-Local Representation Granularity for Video Captioning |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| GOCPT: Generalized Online Canonical Polyadic Tensor Factorization and Completion |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
4 |
| GRELEN: Multivariate Time Series Anomaly Detection from the Perspective of Graph Relational Learning |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Game Redesign in No-regret Game Playing |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
2 |
| General Opinion Formation Games with Social Group Membership |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| General Optimization Framework for Recurrent Reachability Objectives |
✅ |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
2 |
| Generalisation of Alpha-Beta Search for AND-OR Graphs With Partially Ordered Values |
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2 |
| Generating a Structured Summary of Numerous Academic Papers: Dataset and Method |
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✅ |
✅ |
✅ |
❌ |
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4 |
| Geometric Transformer for End-to-End Molecule Properties Prediction |
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✅ |
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3 |
| Global Inference with Explicit Syntactic and Discourse Structures for Dialogue-Level Relation Extraction |
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✅ |
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❌ |
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5 |
| Goal Consistency: An Effective Multi-Agent Cooperative Method for Multistage Tasks |
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1 |
| Grape: Grammar-Preserving Rule Embedding |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
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5 |
| Graph Masked Autoencoder Enhanced Predictor for Neural Architecture Search |
✅ |
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✅ |
✅ |
✅ |
❌ |
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6 |
| Graph-based Dynamic Word Embeddings |
✅ |
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✅ |
✅ |
❌ |
✅ |
6 |
| GraphDIVE: Graph Classification by Mixture of Diverse Experts |
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✅ |
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✅ |
❌ |
❌ |
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4 |
| Gromov-Wasserstein Discrepancy with Local Differential Privacy for Distributed Structural Graphs |
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✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Group Wisdom at a Price: Jury Theorems with Costly Information |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| HCFRec: Hash Collaborative Filtering via Normalized Flow with Structural Consensus for Efficient Recommendation |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| HEA-D: A Hybrid Evolutionary Algorithm for Diversified Top-k Weight Clique Search Problem |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
✅ |
5 |
| Harnessing Fourier Isovists and Geodesic Interaction for Long-Term Crowd Flow Prediction |
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✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| HashNWalk: Hash and Random Walk Based Anomaly Detection in Hyperedge Streams |
✅ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
5 |
| Het2Hom: Representation of Heterogeneous Attributes into Homogeneous Concept Spaces for Categorical-and-Numerical-Attribute Data Clustering |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
❌ |
2 |
| Heterogeneous Ensemble Knowledge Transfer for Training Large Models in Federated Learning |
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✅ |
❌ |
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❌ |
✅ |
3 |
| Heterogeneous Interactive Snapshot Network for Review-Enhanced Stock Profiling and Recommendation |
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❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| Hidden 1-Counter Markov Models and How to Learn Them |
❌ |
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❌ |
❌ |
✅ |
❌ |
✅ |
2 |
| Hierarchical Bilevel Learning with Architecture and Loss Search for Hadamard-based Image Restoration |
❌ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
3 |
| Hierarchical Diffusion Scattering Graph Neural Network |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| HifiHead: One-Shot High Fidelity Neural Head Synthesis with 3D Control |
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✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| High-resource Language-specific Training for Multilingual Neural Machine Translation |
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❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
3 |
| How Does Frequency Bias Affect the Robustness of Neural Image Classifiers against Common Corruption and Adversarial Perturbations? |
✅ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
5 |
| How Should We Vote? A Comparison of Voting Systems within Social Networks |
❌ |
❌ |
✅ |
❌ |
❌ |
✅ |
✅ |
3 |
| How to Sample Approval Elections? |
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❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
3 |
| Human Parity on CommonsenseQA: Augmenting Self-Attention with External Attention |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Hyperbolic Knowledge Transfer with Class Hierarchy for Few-Shot Learning |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Hypergraph Structure Learning for Hypergraph Neural Networks |
❌ |
❌ |
✅ |
✅ |
✅ |
✅ |
✅ |
5 |
| Hypertron: Explicit Social-Temporal Hypergraph Framework for Multi-Agent Forecasting |
❌ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
3 |
| I Will Have Order! Optimizing Orders for Fair Reviewer Assignment |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
❌ |
3 |
| I2CNet: An Intra- and Inter-Class Context Information Fusion Network for Blastocyst Segmentation |
❌ |
❌ |
✅ |
✅ |
✅ |
✅ |
✅ |
5 |
| ICGNet: Integration Context-based Reverse-Contour Guidance Network for Polyp Segmentation |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
2 |
| IDPT: Interconnected Dual Pyramid Transformer for Face Super-Resolution |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| IMO^3: Interactive Multi-Objective Off-Policy Optimization |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
❌ |
2 |
| Imperceptible Backdoor Attack: From Input Space to Feature Representation |
❌ |
✅ |
✅ |
❌ |
✅ |
✅ |
✅ |
5 |
| Improved Deep Unsupervised Hashing with Fine-grained Semantic Similarity Mining for Multi-Label Image Retrieval |
✅ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Improved Pure Exploration in Linear Bandits with No-Regret Learning |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| Improving Few-Shot Text-to-SQL with Meta Self-Training via Column Specificity |
✅ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
6 |
| Improving Transferability of Adversarial Examples with Virtual Step and Auxiliary Gradients |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
4 |
| In Data We Trust: The Logic of Trust-Based Beliefs |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Incentives in Social Decision Schemes with Pairwise Comparison Preferences |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Individual Fairness Guarantees for Neural Networks |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
4 |
| Information Augmentation for Few-shot Node Classification |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Inheriting the Wisdom of Predecessors: A Multiplex Cascade Framework for Unified Aspect-based Sentiment Analysis |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Initializing Then Refining: A Simple Graph Attribute Imputation Network |
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❌ |
✅ |
✅ |
❌ |
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✅ |
3 |
| Insight into Voting Problem Complexity Using Randomized Classes |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Interactive Information Extraction by Semantic Information Graph |
✅ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
6 |
| Interpretable AMR-Based Question Decomposition for Multi-hop Question Answering |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
3 |
| Intrinsic Image Decomposition by Pursuing Reflectance Image |
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✅ |
✅ |
❌ |
❌ |
❌ |
❌ |
2 |
| Invasion Dynamics in the Biased Voter Process |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Inverse Problems for Gradual Semantics |
✅ |
✅ |
❌ |
❌ |
❌ |
❌ |
✅ |
3 |
| Inverting 43-step MD4 via Cube-and-Conquer |
✅ |
✅ |
❌ |
❌ |
✅ |
✅ |
✅ |
5 |
| Investigating and Explaining the Frequency Bias in Image Classification |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
4 |
| Iterative Few-shot Semantic Segmentation from Image Label Text |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Iterative Geometry-Aware Cross Guidance Network for Stereo Image Inpainting |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| I²R-Net: Intra- and Inter-Human Relation Network for Multi-Person Pose Estimation |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| JueWu-MC: Playing Minecraft with Sample-efficient Hierarchical Reinforcement Learning |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
❌ |
1 |
| KPN-MFI: A Kernel Prediction Network with Multi-frame Interaction for Video Inverse Tone Mapping |
❌ |
✅ |
❌ |
❌ |
❌ |
❌ |
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2 |
| KUNet: Imaging Knowledge-Inspired Single HDR Image Reconstruction |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
❌ |
2 |
| LTL on Weighted Finite Traces: Formal Foundations and Algorithms |
❌ |
✅ |
✅ |
❌ |
✅ |
❌ |
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4 |
| LTLf Synthesis as AND-OR Graph Search: Knowledge Compilation at Work |
✅ |
✅ |
✅ |
❌ |
✅ |
✅ |
❌ |
5 |
| Landmark Heuristics for Lifted Classical Planning |
❌ |
✅ |
❌ |
❌ |
✅ |
❌ |
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3 |
| Language Models as Knowledge Embeddings |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Large Neighborhood Search with Decision Diagrams |
✅ |
✅ |
✅ |
❌ |
✅ |
✅ |
✅ |
6 |
| Large Neighbourhood Search for Anytime MaxSAT Solving |
✅ |
✅ |
✅ |
❌ |
✅ |
✅ |
✅ |
6 |
| Learn Continuously, Act Discretely: Hybrid Action-Space Reinforcement Learning For Optimal Execution |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
1 |
| Learn to Reverse DNNs from AI Programs Automatically |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Learnability of Competitive Threshold Models |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
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4 |
| Learning Cluster Causal Diagrams: An Information-Theoretic Approach |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
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3 |
| Learning Coated Adversarial Camouflages for Object Detectors |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
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2 |
| Learning Continuous Graph Structure with Bilevel Programming for Graph Neural Networks |
✅ |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
4 |
| Learning Curricula for Humans: An Empirical Study with Puzzles from The Witness |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
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1 |
| Learning Degradation Uncertainty for Unsupervised Real-world Image Super-resolution |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Learning First-Order Rules with Differentiable Logic Program Semantics |
✅ |
❌ |
✅ |
✅ |
✅ |
❌ |
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5 |
| Learning General Gaussian Mixture Model with Integral Cosine Similarity |
❌ |
✅ |
✅ |
❌ |
✅ |
✅ |
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5 |
| Learning Graph-based Residual Aggregation Network for Group Activity Recognition |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
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2 |
| Learning Higher-Order Logic Programs From Failures |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Learning Implicit Body Representations from Double Diffusion Based Neural Radiance Fields |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
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4 |
| Learning Label Initialization for Time-Dependent Harmonic Extension. |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
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5 |
| Learning Meta Word Embeddings by Unsupervised Weighted Concatenation of Source Embeddings |
❌ |
✅ |
✅ |
❌ |
✅ |
❌ |
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4 |
| Learning Mixture of Neural Temporal Point Processes for Multi-dimensional Event Sequence Clustering |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Learning Mixtures of Random Utility Models with Features from Incomplete Preferences |
❌ |
❌ |
❌ |
❌ |
✅ |
❌ |
✅ |
2 |
| Learning Multi-dimensional Edge Feature-based AU Relation Graph for Facial Action Unit Recognition |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Learning Prototype via Placeholder for Zero-shot Recognition |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Learning Sparse Interpretable Features For NAS Scoring From Liver Biopsy Images |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
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3 |
| Learning Target-aware Representation for Visual Tracking via Informative Interactions |
❌ |
❌ |
✅ |
❌ |
✅ |
❌ |
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3 |
| Learning Unforgotten Domain-Invariant Representations for Online Unsupervised Domain Adaptation |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Learning and Exploiting Progress States in Greedy Best-First Search |
❌ |
✅ |
❌ |
❌ |
✅ |
❌ |
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3 |
| Learning by Interpreting |
✅ |
❌ |
✅ |
✅ |
✅ |
❌ |
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5 |
| Learning from Students: Online Contrastive Distillation Network for General Continual Learning |
✅ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
5 |
| Learning to Assemble Geometric Shapes |
❌ |
✅ |
❌ |
✅ |
❌ |
❌ |
✅ |
3 |
| Learning to Estimate Object Poses without Real Image Annotations |
❌ |
✅ |
✅ |
❌ |
✅ |
❌ |
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4 |
| Learning to Generate Image Source-Agnostic Universal Adversarial Perturbations |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Learning to Hash Naturally Sorts |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Let’s Agree to Agree: Targeting Consensus for Incomplete Preferences through Majority Dynamics |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Leveraging Class Abstraction for Commonsense Reinforcement Learning via Residual Policy Gradient Methods |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Leveraging the Wikipedia Graph for Evaluating Word Embeddings |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Lexicographic Entailment, Syntax Splitting and the Drowning Problem |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| Lexicographic Multi-Objective Reinforcement Learning |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
❌ |
3 |
| Libra-CAM: An Activation-Based Attribution Based on the Linear Approximation of Deep Neural Nets and Threshold Calibration |
✅ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
5 |
| Light Agents Searching for Hot Information |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| Lightweight Bimodal Network for Single-Image Super-Resolution via Symmetric CNN and Recursive Transformer |
❌ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Limits and Possibilities of Forgetting in Abstract Argumentation |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| Linear Combinatorial Semi-Bandit with Causally Related Rewards |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Linear Temporal Logic Modulo Theories over Finite Traces |
✅ |
✅ |
❌ |
❌ |
❌ |
❌ |
✅ |
3 |
| Local Differential Privacy Meets Computational Social Choice - Resilience under Voter Deletion |
❌ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Locally Normalized Soft Contrastive Clustering for Compact Clusters |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Logically Consistent Adversarial Attacks for Soft Theorem Provers |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
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5 |
| Logit Mixing Training for More Reliable and Accurate Prediction |
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❌ |
✅ |
✅ |
✅ |
❌ |
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4 |
| Long-Short Term Cross-Transformer in Compressed Domain for Few-Shot Video Classification |
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❌ |
✅ |
✅ |
✅ |
❌ |
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4 |
| Long-term Spatio-Temporal Forecasting via Dynamic Multiple-Graph Attention |
✅ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Low-Resource NER by Data Augmentation With Prompting |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Lyra: A Benchmark for Turducken-Style Code Generation |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
3 |
| MA-ViT: Modality-Agnostic Vision Transformers for Face Anti-Spoofing |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| MEIM: Multi-partition Embedding Interaction Beyond Block Term Format for Efficient and Expressive Link Prediction |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| MERIT: Learning Multi-level Representations on Temporal Graphs |
❌ |
❌ |
✅ |
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❌ |
❌ |
✅ |
2 |
| MFAN: Multi-modal Feature-enhanced Attention Networks for Rumor Detection |
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❌ |
✅ |
✅ |
❌ |
❌ |
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3 |
| MGAD: Learning Descriptional Representation Distilled from Distributional Semantics for Unseen Entities |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| MLP4Rec: A Pure MLP Architecture for Sequential Recommendations |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| MMNet: Muscle Motion-Guided Network for Micro-Expression Recognition |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| MMT: Multi-way Multi-modal Transformer for Multimodal Learning |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| MNet: Rethinking 2D/3D Networks for Anisotropic Medical Image Segmentation |
❌ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Manipulating Elections by Changing Voter Perceptions |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Markov Abstractions for PAC Reinforcement Learning in Non-Markov Decision Processes |
✅ |
✅ |
✅ |
❌ |
✅ |
❌ |
❌ |
4 |
| Masked Feature Generation Network for Few-Shot Learning |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Max-Sum with Quadtrees for Decentralized Coordination in Continuous Domains |
✅ |
✅ |
❌ |
❌ |
❌ |
❌ |
✅ |
3 |
| Maxmin Participatory Budgeting |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
❌ |
1 |
| Mechanism Design with Predictions |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| MemREIN: Rein the Domain Shift for Cross-Domain Few-Shot Learning |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Membership Inference via Backdooring |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Memory Augmented State Space Model for Time Series Forecasting |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
❌ |
1 |
| Meta-Learning Based Knowledge Extrapolation for Knowledge Graphs in the Federated Setting |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| MetaER-TTE: An Adaptive Meta-learning Model for En Route Travel Time Estimation |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| MetaFinger: Fingerprinting the Deep Neural Networks with Meta-training |
✅ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
5 |
| Mixed Strategies for Security Games with General Defending Requirements |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
❌ |
2 |
| Model Stealing Defense against Exploiting Information Leak through the Interpretation of Deep Neural Nets |
❌ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
3 |
| Model-Based Offline Planning with Trajectory Pruning |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Modeling Precursors for Temporal Knowledge Graph Reasoning via Auto-encoder Structure |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Modeling Spatio-temporal Neighbourhood for Personalized Point-of-interest Recommendation |
✅ |
✅ |
❌ |
✅ |
❌ |
❌ |
✅ |
4 |
| Modelling the Dynamics of Multi-Agent Q-learning: The Stochastic Effects of Local Interaction and Incomplete Information |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
2 |
| Modelling the Dynamics of Regret Minimization in Large Agent Populations: a Master Equation Approach |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
2 |
| Monolith to Microservices: Representing Application Software through Heterogeneous Graph Neural Network |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
2 |
| Monotone-Value Neural Networks: Exploiting Preference Monotonicity in Combinatorial Assignment |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| MotionMixer: MLP-based 3D Human Body Pose Forecasting |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| MuiDial: Improving Dialogue Disentanglement with Intent-Based Mutual Learning |
❌ |
❌ |
✅ |
✅ |
✅ |
✅ |
✅ |
5 |
| Multi-Agent Concentrative Coordination with Decentralized Task Representation |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Multi-Agent Intention Progression with Reward Machines |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
4 |
| Multi-Agent Reinforcement Learning for Traffic Signal Control through Universal Communication Method |
❌ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Multi-Armed Bandit Problem with Temporally-Partitioned Rewards: When Partial Feedback Counts |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Multi-Constraint Deep Reinforcement Learning for Smooth Action Control |
✅ |
✅ |
❌ |
❌ |
❌ |
❌ |
✅ |
3 |
| Multi-Graph Fusion Networks for Urban Region Embedding |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Multi-Level Firing with Spiking DS-ResNet: Enabling Better and Deeper Directly-Trained Spiking Neural Networks |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
4 |
| Multi-Player Multi-Armed Bandits with Finite Shareable Resources Arms: Learning Algorithms & Applications |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
2 |
| Multi-Proxy Learning from an Entropy Optimization Perspective |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Multi-Task Personalized Learning with Sparse Network Lasso |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Multi-Tier Platform for Cognizing Massive Electroencephalogram |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
❌ |
2 |
| Multi-Vector Embedding on Networks with Taxonomies |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
4 |
| Multi-View Visual Semantic Embedding |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Multi-level Consistency Learning for Semi-supervised Domain Adaptation |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Multi-policy Grounding and Ensemble Policy Learning for Transfer Learning with Dynamics Mismatch |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
4 |
| Multi-robot Task Allocation in the Environment with Functional Tasks |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
2 |
| Multi-scale Spatial Representation Learning via Recursive Hermite Polynomial Networks |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Multi-view Unsupervised Graph Representation Learning |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
❌ |
2 |
| MultiQuant: Training Once for Multi-bit Quantization of Neural Networks |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Multiband VAE: Latent Space Alignment for Knowledge Consolidation in Continual Learning |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
❌ |
2 |
| Multilevel Hierarchical Network with Multiscale Sampling for Video Question Answering |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| Multiwinner Elections under Minimax Chamberlin-Courant Rule in Euclidean Space |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Mutual Distillation Learning Network for Trajectory-User Linking |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Near-Tight Algorithms for the Chamberlin-Courant and Thiele Voting Rules |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Network Creation with Homophilic Agents |
❌ |
✅ |
❌ |
❌ |
❌ |
❌ |
✅ |
2 |
| Neural Contextual Anomaly Detection for Time Series |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Neural Network Pruning by Cooperative Coevolution |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Neural PCA for Flow-Based Representation Learning |
✅ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
5 |
| Neural Subgraph Explorer: Reducing Noisy Information via Target-oriented Syntax Graph Pruning |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Neuro-Symbolic Verification of Deep Neural Networks |
❌ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Neutral Utterances are Also Causes: Enhancing Conversational Causal Emotion Entailment with Social Commonsense Knowledge |
✅ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
5 |
| Next Point-of-Interest Recommendation with Inferring Multi-step Future Preferences |
✅ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
5 |
| Non-Cheating Teaching Revisited: A New Probabilistic Machine Teaching Model |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Non-Euclidean Self-Organizing Maps |
✅ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
5 |
| None Class Ranking Loss for Document-Level Relation Extraction |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Not a Number: Identifying Instance Features for Capability-Oriented Evaluation |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
❌ |
2 |
| Offline Time-Independent Multi-Agent Path Planning |
✅ |
✅ |
❌ |
❌ |
✅ |
❌ |
❌ |
3 |
| Offline Vehicle Routing Problem with Online Bookings: A Novel Problem Formulation with Applications to Paratransit |
❌ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| On Attacking Out-Domain Uncertainty Estimation in Deep Neural Networks |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| On Discrete Truthful Heterogeneous Two-Facility Location |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| On Preferences and Priority Rules in Abstract Argumentation |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| On Preferred Abductive Explanations for Decision Trees and Random Forests |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| On Tracking Dialogue State by Inheriting Slot Values in Mentioned Slot Pools |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| On Verifying Expectations and Observations of Intelligent Agents |
✅ |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
2 |
| On the (In)Tractability of Reinforcement Learning for LTL Objectives |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
1 |
| On the Channel Pruning using Graph Convolution Network for Convolutional Neural Network Acceleration |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| On the Complexity of Calculating Approval-Based Winners in Candidates-Embedded Metrics |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| On the Complexity of Enumerating Prime Implicants from Decision-DNNF Circuits |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| On the Computational Complexity of Model Reconciliations |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| On the Convergence of Fictitious Play: A Decomposition Approach |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
1 |
| On the Optimization of Margin Distribution |
✅ |
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✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| On the Ordinal Invariance of Power Indices on Coalitional Games |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| On the Utility of Prediction Sets in Human-AI Teams |
✅ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
5 |
| One Weird Trick to Improve Your Semi-Weakly Supervised Semantic Segmentation Model |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
3 |
| Online Approval Committee Elections |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Online Bin Packing with Predictions |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Online ECG Emotion Recognition for Unknown Subjects via Hypergraph-Based Transfer Learning |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Online Evasion Attacks on Recurrent Models:The Power of Hallucinating the Future |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
4 |
| Online Hybrid Lightweight Representations Learning: Its Application to Visual Tracking |
❌ |
❌ |
✅ |
❌ |
✅ |
❌ |
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3 |
| Online Matching with Controllable Rewards and Arrival Probabilities |
✅ |
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✅ |
❌ |
✅ |
❌ |
✅ |
5 |
| Online Planning in POMDPs with Self-Improving Simulators |
✅ |
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✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Optimal Anonymous Independent Reward Scheme Design |
✅ |
❌ |
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❌ |
❌ |
❌ |
❌ |
1 |
| Option Transfer and SMDP Abstraction with Successor Features |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
2 |
| PACE: Predictive and Contrastive Embedding for Unsupervised Action Segmentation |
❌ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
3 |
| PAnDR: Fast Adaptation to New Environments from Offline Experiences via Decoupling Policy and Environment Representations |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
2 |
| PCVAE: Generating Prior Context for Dialogue Response Generation |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| PG3: Policy-Guided Planning for Generalized Policy Generation |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
2 |
| PPT: Backdoor Attacks on Pre-trained Models via Poisoned Prompt Tuning |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| PRNet: Point-Range Fusion Network for Real-Time LiDAR Semantic Segmentation |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| Parameter-Efficient Sparsity for Large Language Models Fine-Tuning |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Parameterized Algorithms for Kidney Exchange |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Parameterized Complexity of Hotelling-Downs with Party Nominees |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Penalized Proximal Policy Optimization for Safe Reinforcement Learning |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
❌ |
2 |
| Perceptual Learned Video Compression with Recurrent Conditional GAN |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Personalized Federated Learning With a Graph |
✅ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
5 |
| Personalized Federated Learning with Contextualized Generalization |
✅ |
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✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Phragmén Rules for Degressive and Regressive Proportionality |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
1 |
| Physics-Informed Long-Sequence Forecasting From Multi-Resolution Spatiotemporal Data |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
2 |
| Picking the Right Winner: Why Tie-Breaking in Crowdsourcing Contests Matters |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| PlaceNet: Neural Spatial Representation Learning with Multimodal Attention |
❌ |
✅ |
❌ |
✅ |
❌ |
❌ |
✅ |
3 |
| Placing Green Bridges Optimally, with Habitats Inducing Cycles |
❌ |
✅ |
❌ |
❌ |
✅ |
✅ |
✅ |
4 |
| Plane Geometry Diagram Parsing |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Planning with Qualitative Action-Trajectory Constraints in PDDL |
✅ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
5 |
| Plausibility Reasoning via Projected Answer Set Counting - A Hybrid Approach |
✅ |
✅ |
✅ |
❌ |
✅ |
✅ |
✅ |
6 |
| Plurality Veto: A Simple Voting Rule Achieving Optimal Metric Distortion |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| Poisoning Deep Learning Based Recommender Model in Federated Learning Scenarios |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Posistive-Unlabeled Learning via Optimal Transport and Margin Distribution |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Position-aware Joint Entity and Relation Extraction with Attention Mechanism |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Positive-Unlabeled Learning with Adversarial Data Augmentation for Knowledge Graph Completion |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
❌ |
1 |
| Possibilistic Logic Underlies Abstract Dialectical Frameworks |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Post-processing of Differentially Private Data: A Fairness Perspective |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
1 |
| Preserving Consistency in Multi-Issue Liquid Democracy |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| Private Semi-Supervised Federated Learning |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
❌ |
2 |
| Private Stochastic Convex Optimization and Sparse Learning with Heavy-tailed Data Revisited |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| Projected Gradient Descent Algorithms for Solving Nonlinear Inverse Problems with Generative Priors |
✅ |
❌ |
✅ |
❌ |
✅ |
✅ |
✅ |
5 |
| Prompting to Distill: Boosting Data-Free Knowledge Distillation via Reinforced Prompt |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Proportional Budget Allocations: Towards a Systematization |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Propose-and-Refine: A Two-Stage Set Prediction Network for Nested Named Entity Recognition |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Propositional Gossip Protocols under Fair Schedulers |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Proximity Enhanced Graph Neural Networks with Channel Contrast |
✅ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
5 |
| Pruning-as-Search: Efficient Neural Architecture Search via Channel Pruning and Structural Reparameterization |
❌ |
✅ |
✅ |
❌ |
✅ |
✅ |
✅ |
5 |
| Pseudo-spherical Knowledge Distillation |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
2 |
| Public Signaling in Bayesian Ad Auctions |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| QCDCL with Cube Learning or Pure Literal Elimination - What is Best? |
❌ |
❌ |
✅ |
❌ |
✅ |
✅ |
✅ |
4 |
| Quaternion Ordinal Embedding |
❌ |
❌ |
❌ |
❌ |
✅ |
✅ |
✅ |
3 |
| RAPQ: Rescuing Accuracy for Power-of-Two Low-bit Post-training Quantization |
✅ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
5 |
| RAW-GNN: RAndom Walk Aggregation based Graph Neural Network |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| RMGN: A Regional Mask Guided Network for Parser-free Virtual Try-on |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
❌ |
2 |
| Rainy WCity: A Real Rainfall Dataset with Diverse Conditions for Semantic Driving Scene Understanding |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
❌ |
1 |
| Raising the Bar in Graph-level Anomaly Detection |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| RePFormer: Refinement Pyramid Transformer for Robust Facial Landmark Detection |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| RePre: Improving Self-Supervised Vision Transformer with Reconstructive Pre-training |
✅ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Real-Time BDI Agents: A Model and Its Implementation |
✅ |
✅ |
❌ |
❌ |
❌ |
❌ |
✅ |
3 |
| Real-Time Heuristic Search with LTLf Goals |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
4 |
| Reasoning over Hybrid Chain for Table-and-Text Open Domain Question Answering |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
3 |
| Recipe2Vec: Multi-modal Recipe Representation Learning with Graph Neural Networks |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| RecipeRec: A Heterogeneous Graph Learning Model for Recipe Recommendation |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Reconciling Cognitive Modeling with Knowledge Forgetting: A Continuous Time-aware Neural Network Approach |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Reconstructing Diffusion Networks from Incomplete Data |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| Reconstruction Enhanced Multi-View Contrastive Learning for Anomaly Detection on Attributed Networks |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Region-Aware Metric Learning for Open World Semantic Segmentation via Meta-Channel Aggregation |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Region-Aware Temporal Inconsistency Learning for DeepFake Video Detection |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Region-level Contrastive and Consistency Learning for Semi-Supervised Semantic Segmentation |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| Regularized Graph Structure Learning with Semantic Knowledge for Multi-variates Time-Series Forecasting |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
❌ |
2 |
| Reinforcement Learning for Cross-Domain Hyper-Heuristics |
❌ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Reinforcement Learning with Option Machines |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Relational Abstractions for Generalized Reinforcement Learning on Symbolic Problems |
✅ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
5 |
| Relational Triple Extraction: One Step is Enough |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| Representation Learning for Compressed Video Action Recognition via Attentive Cross-modal Interaction with Motion Enhancement |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Representation Matters: Characterisation and Impossibility Results for Interval Aggregation |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Residual Contrastive Learning for Image Reconstruction: Learning Transferable Representations from Noisy Images |
✅ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Rethinking Image Aesthetics Assessment: Models, Datasets and Benchmarks |
❌ |
✅ |
✅ |
❌ |
✅ |
❌ |
❌ |
3 |
| Rethinking InfoNCE: How Many Negative Samples Do You Need? |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Rethinking the Promotion Brought by Contrastive Learning to Semi-Supervised Node Classification |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Rethinking the Setting of Semi-supervised Learning on Graphs |
✅ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
5 |
| Revision by Comparison for Ranking Functions |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Ridgeless Regression with Random Features |
✅ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
5 |
| RoSA: A Robust Self-Aligned Framework for Node-Node Graph Contrastive Learning |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
❌ |
3 |
| RoboGNN: Robustifying Node Classification under Link Perturbation |
✅ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
6 |
| Robust Fine-tuning via Perturbation and Interpolation from In-batch Instances |
❌ |
✅ |
✅ |
❌ |
✅ |
❌ |
❌ |
3 |
| Robust High-Dimensional Classification From Few Positive Examples |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
4 |
| Robust Interpretable Text Classification against Spurious Correlations Using AND-rules with Negation |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Robust Reinforcement Learning as a Stackelberg Game via Adaptively-Regularized Adversarial Training |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Robust Single Image Dehazing Based on Consistent and Contrast-Assisted Reconstruction |
❌ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
3 |
| Robust Solutions for Multi-Defender Stackelberg Security Games |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| Robust Subset Selection by Greedy and Evolutionary Pareto Optimization |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Robust Weight Perturbation for Adversarial Training |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
4 |
| Robustifying Vision Transformer without Retraining from Scratch by Test-Time Class-Conditional Feature Alignment |
✅ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
5 |
| Robustness Guarantees for Credal Bayesian Networks via Constraint Relaxation over Probabilistic Circuits |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
4 |
| Runtime Analysis of Single- and Multi-Objective Evolutionary Algorithms for Chance Constrained Optimization Problems with Normally Distributed Random Variables |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| S2 Transformer for Image Captioning |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| SAR-to-Optical Image Translation via Neural Partial Differential Equations |
❌ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
3 |
| SCMT: Self-Correction Mean Teacher for Semi-supervised Object Detection |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| SELC: Self-Ensemble Label Correction Improves Learning with Noisy Labels |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
4 |
| SGAT: Simplicial Graph Attention Network |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| SHAPE: An Unified Approach to Evaluate the Contribution and Cooperation of Individual Modalities |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| SVTR: Scene Text Recognition with a Single Visual Model |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Sample Complexity Bounds for Robustly Learning Decision Lists against Evasion Attacks |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| SatFormer: Saliency-Guided Abnormality-Aware Transformer for Retinal Disease Classification in Fundus Image |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| ScaleFormer: Revisiting the Transformer-based Backbones from a Scale-wise
Perspective for Medical Image Segmentation |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Scheduling with Untrusted Predictions |
❌ |
✅ |
❌ |
❌ |
❌ |
❌ |
✅ |
2 |
| Search Space Expansion for Efficient Incremental Inductive Logic Programming from Streamed Data |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
❌ |
4 |
| Search-Based Testing of Reinforcement Learning |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
4 |
| Search-based Reinforcement Learning through Bandit Linear Optimization |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Searching for Optimal Subword Tokenization in Cross-domain NER |
❌ |
✅ |
✅ |
❌ |
✅ |
❌ |
❌ |
3 |
| Self-Guided Hard Negative Generation for Unsupervised Person Re-Identification |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| Self-Predictive Dynamics for Generalization of Vision-based Reinforcement Learning |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
❌ |
3 |
| Self-Supervised Learning with Attention-based Latent Signal Augmentation for Sleep Staging with Limited Labeled Data |
✅ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
5 |
| Self-Supervised Mutual Learning for Dynamic Scene Reconstruction of Spiking Camera |
❌ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Self-paced Supervision for Multi-source Domain Adaptation |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Self-supervised Graph Neural Networks for Multi-behavior Recommendation |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Self-supervised Learning and Adaptation for Single Image Dehazing |
❌ |
✅ |
✅ |
✅ |
✅ |
✅ |
✅ |
6 |
| Self-supervised Semantic Segmentation Grounded in Visual Concepts |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Semantic Compression Embedding for Generative Zero-Shot Learning |
✅ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
5 |
| Semi-Supervised Imitation Learning of Team Policies from Suboptimal Demonstrations |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| Set Interdependence Transformer: Set-to-Sequence Neural Networks for Permutation Learning and Structure Prediction |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Shared Autonomy Systems with Stochastic Operator Models |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
1 |
| Shielding Federated Learning: Robust Aggregation with Adaptive Client Selection |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Signed Neuron with Memory: Towards Simple, Accurate and High-Efficient ANN-SNN Conversion |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| SimMC: Simple Masked Contrastive Learning of Skeleton Representations for Unsupervised Person Re-Identification |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Simple and Effective Relation-based Embedding Propagation for Knowledge Representation Learning |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Simulating Sets in Answer Set Programming |
❌ |
✅ |
✅ |
❌ |
✅ |
✅ |
✅ |
5 |
| Single-Peaked Opinion Updates |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| SoFaiR: Single Shot Fair Representation Learning |
❌ |
✅ |
✅ |
❌ |
✅ |
❌ |
❌ |
3 |
| Socially Intelligent Genetic Agents for the Emergence of Explicit Norms |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
1 |
| Source-Adaptive Discriminative Kernels based Network for Remote Sensing Pansharpening |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| SpanConv: A New Convolution via Spanning Kernel Space for Lightweight Pansharpening |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| SparseTT: Visual Tracking with Sparse Transformers |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Spatiality-guided Transformer for 3D Dense Captioning on Point Clouds |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Speaker-Guided Encoder-Decoder Framework for Emotion Recognition in Conversation |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Spiking Graph Convolutional Networks |
✅ |
✅ |
✅ |
✅ |
✅ |
❌ |
❌ |
5 |
| Stabilizing and Enhancing Link Prediction through Deepened Graph Auto-Encoders |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Stage-wise Stylistic Headline Generation: Style Generation and Summarized Content Insertion |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Stochastic Coherence Over Attention Trajectory For Continuous Learning In Video Streams |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Strategy Proof Mechanisms for Facility Location with Capacity Limits |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Strategyproof Mechanisms for Group-Fair Facility Location Problems |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Subgraph Neighboring Relations Infomax for Inductive Link Prediction on Knowledge Graphs |
❌ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
3 |
| Subsequence-based Graph Routing Network for Capturing Multiple Risk Propagation Processes |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Summary Markov Models for Event Sequences |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| SyntaSpeech: Syntax-Aware Generative Adversarial Text-to-Speech |
❌ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Synthesis of Maximally Permissive Strategies for LTLf Specifications |
❌ |
✅ |
✅ |
❌ |
✅ |
✅ |
✅ |
5 |
| T-SMOTE: Temporal-oriented Synthetic Minority Oversampling Technique for Imbalanced Time Series Classification |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
❌ |
1 |
| TCCNet: Temporally Consistent Context-Free Network for Semi-supervised Video Polyp Segmentation |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| TGNN: A Joint Semi-supervised Framework for Graph-level Classification |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Table2Graph: Transforming Tabular Data to Unified Weighted Graph |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Taking Situation-Based Privacy Decisions: Privacy Assistants Working with Humans |
✅ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
5 |
| Targeted Multimodal Sentiment Classification based on Coarse-to-Fine Grained Image-Target Matching |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| TaxoPrompt: A Prompt-based Generation Method with Taxonomic Context for Self-Supervised Taxonomy Expansion |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Taylor, Can You Hear Me Now? A Taylor-Unfolding Framework for Monaural Speech Enhancement |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Taylor-Lagrange Neural Ordinary Differential Equations: Toward Fast Training and Evaluation of Neural ODEs |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
❌ |
3 |
| Teaching LTLf Satisfiability Checking to Neural Networks |
✅ |
✅ |
❌ |
✅ |
✅ |
❌ |
✅ |
5 |
| Temporality Spatialization: A Scalable and Faithful Time-Travelling Visualization for Deep Classifier Training |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
4 |
| Tessellation-Filtering ReLU Neural Networks |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| Test-time Fourier Style Calibration for Domain Generalization |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| The Complexity of Envy-Free Graph Cutting |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| The Dichotomous Affiliate Stable Matching Problem: Approval-Based Matching with Applicant-Employer Relations |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| The Egocentric Logic of Preferences |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| The Limits of Morality in Strategic Games |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| The Power of Media Agencies in Ad Auctions: Improving Utility through Coordinated Bidding |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| Thompson Sampling for Bandit Learning in Matching Markets |
✅ |
✅ |
❌ |
❌ |
❌ |
❌ |
✅ |
3 |
| Threshold-free Pattern Mining Meets Multi-Objective Optimization: Application to Association Rules |
❌ |
✅ |
✅ |
❌ |
✅ |
✅ |
✅ |
5 |
| TiRGN: Time-Guided Recurrent Graph Network with Local-Global Historical Patterns for Temporal Knowledge Graph Reasoning |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Tight Bounds for Hybrid Planning |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Time-Constrained Participatory Budgeting Under Uncertain Project Costs |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
❌ |
1 |
| TinyLight: Adaptive Traffic Signal Control on Devices with Extremely Limited Resources |
❌ |
✅ |
✅ |
❌ |
✅ |
❌ |
❌ |
3 |
| To Fold or Not to Fold: a Necessary and Sufficient Condition on Batch-Normalization Layers Folding |
❌ |
✅ |
✅ |
❌ |
✅ |
❌ |
❌ |
3 |
| To Trust or Not To Trust Prediction Scores for Membership Inference Attacks |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Tolerance is Necessary for Stability: Single-Peaked Swap Schelling Games |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| TopoSeg: Topology-aware Segmentation for Point Clouds |
❌ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
3 |
| Toward Policy Explanations for Multi-Agent Reinforcement Learning |
✅ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Towards Adversarially Robust Deep Image Denoising |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Towards Applicable Reinforcement Learning: Improving the Generalization and Sample Efficiency with Policy Ensemble |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Towards Controlling the Transmission of Diseases: Continuous Exposure Discovery over Massive-Scale Moving Objects |
✅ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Towards Discourse-Aware Document-Level Neural Machine Translation |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Towards Joint Intent Detection and Slot Filling via Higher-order Attention |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| Towards Resolving Propensity Contradiction in Offline Recommender Learning |
✅ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
5 |
| Towards Robust Dense Retrieval via Local Ranking Alignment |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Towards Robust Unsupervised Disentanglement of Sequential Data — A Case Study Using Music Audio |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
✅ |
5 |
| Towards Safe Reinforcement Learning via Constraining Conditional Value-at-Risk |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
❌ |
2 |
| Towards Universal Backward-Compatible Representation Learning |
❌ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Trading Hard Negatives and True Negatives: A Debiased Contrastive Collaborative Filtering Approach |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Training Naturalized Semantic Parsers with Very Little Data |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Transfer Learning Based Adaptive Automated Negotiating Agent Framework |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Transformer-based Objective-reinforced Generative Adversarial Network to Generate Desired Molecules |
✅ |
❌ |
✅ |
❌ |
❌ |
✅ |
✅ |
4 |
| Transparency, Detection and Imitation in Strategic Classification |
❌ |
✅ |
❌ |
❌ |
❌ |
❌ |
✅ |
2 |
| Triformer: Triangular, Variable-Specific Attentions for Long Sequence Multivariate Time Series Forecasting |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
3 |
| Two for One & One for All: Two-Sided Manipulation in Matching Markets |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| Two-Sided Matching over Social Networks |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Type-aware Embeddings for Multi-Hop Reasoning over Knowledge Graphs |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
❌ |
3 |
| UM4: Unified Multilingual Multiple Teacher-Student Model for Zero-Resource Neural Machine Translation |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| Uncertainty-Aware Representation Learning for Action Segmentation |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| Uncertainty-Guided Pixel Contrastive Learning for Semi-Supervised Medical Image Segmentation |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| Understanding Distance Measures Among Elections |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
❌ |
1 |
| Understanding and Mitigating Data Contamination in Deep Anomaly Detection: A Kernel-based Approach |
✅ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Understanding the Limits of Poisoning Attacks in Episodic Reinforcement Learning |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| Unsupervised Context Aware Sentence Representation Pretraining for Multi-lingual Dense Retrieval |
✅ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Unsupervised Embedding and Association Network for Multi-Object Tracking |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| Unsupervised Misaligned Infrared and Visible Image Fusion via Cross-Modality Image Generation and Registration |
❌ |
✅ |
✅ |
❌ |
✅ |
❌ |
✅ |
4 |
| Unsupervised Multi-Modal Medical Image Registration via Discriminator-Free Image-to-Image Translation |
❌ |
✅ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Unsupervised Voice-Face Representation Learning by Cross-Modal Prototype Contrast |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Updating Probability Intervals with Uncertain Inputs |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Using Constraint Programming and Graph Representation Learning for Generating Interpretable Cloud Security Policies |
✅ |
✅ |
✅ |
❌ |
✅ |
✅ |
✅ |
6 |
| Value Refinement Network (VRN) |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Variational Learning for Unsupervised Knowledge Grounded Dialogs |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| Verification and Monitoring for First-Order LTL with Persistence-Preserving Quantification over Finite and Infinite Traces |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Vertically Federated Graph Neural Network for Privacy-Preserving Node Classification |
✅ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| Video Frame Interpolation Based on Deformable Kernel Region |
✅ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| VidyutVanika21: An Autonomous Intelligent Broker for Smart-grids |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
✅ |
2 |
| Vision Shared and Representation Isolated Network for Person Search |
❌ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
3 |
| Visual Emotion Representation Learning via Emotion-Aware Pre-training |
❌ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
4 |
| Visual Similarity Attention |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Voting in Two-Crossing Elections |
✅ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
1 |
| Weakening the Influence of Clothing: Universal Clothing Attribute Disentanglement for Person Re-Identification |
❌ |
❌ |
✅ |
❌ |
❌ |
❌ |
✅ |
2 |
| Weakly-supervised Text Classification with Wasserstein Barycenters Regularization |
✅ |
❌ |
✅ |
✅ |
✅ |
❌ |
✅ |
5 |
| Webly-Supervised Fine-Grained Recognition with Partial Label Learning |
❌ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
3 |
| What Does My GNN Really Capture? On Exploring Internal GNN Representations |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
✅ |
3 |
| What is Right for Me is Not Yet Right for You: A Dataset for Grounding Relative Directions via Multi-Task Learning |
❌ |
❌ |
✅ |
✅ |
❌ |
❌ |
✅ |
3 |
| When Transfer Learning Meets Cross-City Urban Flow Prediction: Spatio-Temporal Adaptation Matters |
❌ |
❌ |
✅ |
❌ |
✅ |
❌ |
✅ |
3 |
| When Votes Change and Committees Should (Not) |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
❌ |
0 |
| Zero-Shot Logit Adjustment |
❌ |
✅ |
✅ |
✅ |
❌ |
❌ |
✅ |
4 |
| “My nose is running.” “Are you also coughing?”: Building A Medical Diagnosis Agent with Interpretable Inquiry Logics |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
❌ |
2 |
| “Think Before You Speak”: Improving Multi-Action Dialog Policy by Planning Single-Action Dialogs |
❌ |
✅ |
✅ |
❌ |
❌ |
❌ |
❌ |
2 |