reproducibilityindex.ai

International Conference on Learning Representations (ICLR) - 2024

Conference Proceedings:

Key: PC - Pseudocode, OSC - Open Source Code, OSD - Open Datasets, DS - Dataset Splits, HS - Hardware Specification, SD - Software Dependencies, ES - Experiment Setup

"What Data Benefits My Classifier?" Enhancing Model Performance and Interpretability through Influence-Based Data Selection ✅ ✅ ✅ ✅ ✅ ❌ ✅ 6
#InsTag: Instruction Tagging for Analyzing Supervised Fine-tuning of Large Language Models ✅ ❌ ✅ ❌ ❌ ❌ ✅ 3
$\alpha$TC-VAE: On the relationship between Disentanglement and Diversity ❌ ✅ ✅ ❌ ✅ ❌ ✅ 4
$\infty$-Diff: Infinite Resolution Diffusion with Subsampled Mollified States ❌ ✅ ✅ ❌ ✅ ❌ ✅ 4
$\mathbb{D}^2$ Pruning: Message Passing for Balancing Diversity & Difficulty in Data Pruning ✅ ✅ ✅ ✅ ✅ ❌ ✅ 6
$\mathcal{B}$-Coder: Value-Based Deep Reinforcement Learning for Program Synthesis ✅ ❌ ✅ ✅ ✅ ❌ ✅ 5
$\pi$2vec: Policy Representation with Successor Features ❌ ❌ ✅ ✅ ❌ ❌ ✅ 3
$\texttt{NAISR}$: A 3D Neural Additive Model for Interpretable Shape Representation ❌ ✅ ✅ ❌ ✅ ❌ ✅ 4
$t^3$-Variational Autoencoder: Learning Heavy-tailed Data with Student's t and Power Divergence ✅ ✅ ✅ ✅ ✅ ✅ ✅ 7
3D Feature Prediction for Masked-AutoEncoder-Based Point Cloud Pretraining ❌ ✅ ✅ ✅ ✅ ❌ ✅ 5
3D Reconstruction with Generalizable Neural Fields using Scene Priors ✅ ❌ ✅ ❌ ✅ ❌ ✅ 4
3D-Aware Hypothesis & Verification for Generalizable Relative Object Pose Estimation ❌ ❌ ✅ ❌ ✅ ❌ ✅ 3
A 2-Dimensional State Space Layer for Spatial Inductive Bias ❌ ✅ ✅ ✅ ❌ ❌ ✅ 4
A Benchmark Study on Calibration ❌ ✅ ✅ ✅ ❌ ❌ ✅ 4
A Benchmark for Learning to Translate a New Language from One Grammar Book ❌ ✅ ✅ ✅ ❌ ❌ ✅ 4
A Black-box Approach for Non-stationary Multi-agent Reinforcement Learning ✅ ❌ ❌ ❌ ❌ ❌ ❌ 1
A Branching Decoder for Set Generation ✅ ✅ ✅ ✅ ✅ ✅ ✅ 7
A Characterization Theorem for Equivariant Networks with Point-wise Activations ❌ ❌ ❌ ❌ ❌ ❌ ❌ 0
A Cognitive Model for Learning Abstract Relational Structures from Memory-based Decision-Making Tasks ✅ ❌ ✅ ❌ ✅ ✅ ✅ 5
A Data-Driven Measure of Relative Uncertainty for Misclassification Detection ✅ ❌ ✅ ✅ ❌ ❌ ✅ 4
A Differentially Private Clustering Algorithm for Well-Clustered Graphs ✅ ❌ ❌ ❌ ✅ ✅ ✅ 4
A Discretization Framework for Robust Contextual Stochastic Optimization ✅ ❌ ✅ ❌ ❌ ❌ ✅ 3
A Dynamical View of the Question of Why ❌ ✅ ❌ ❌ ❌ ❌ ✅ 2
A Fast and Provable Algorithm for Sparse Phase Retrieval ✅ ✅ ❌ ❌ ✅ ❌ ✅ 4
A Flexible Generative Model for Heterogeneous Tabular EHR with Missing Modality ✅ ❌ ✅ ❌ ✅ ✅ ✅ 5
A Foundation Model for Error Correction Codes ❌ ❌ ✅ ❌ ✅ ❌ ✅ 3
A Framework for Inference Inspired by Human Memory Mechanisms ✅ ✅ ✅ ✅ ❌ ❌ ✅ 5
A General Framework for User-Guided Bayesian Optimization ✅ ✅ ✅ ❌ ❌ ❌ ✅ 4
A Good Learner can Teach Better: Teacher-Student Collaborative Knowledge Distillation ❌ ✅ ✅ ✅ ✅ ❌ ✅ 5
A Graph is Worth 1-bit Spikes: When Graph Contrastive Learning Meets Spiking Neural Networks ✅ ✅ ✅ ✅ ✅ ❌ ✅ 6
A Hard-to-Beat Baseline for Training-free CLIP-based Adaptation ✅ ✅ ✅ ✅ ✅ ❌ ✅ 6
A Hierarchical Bayesian Model for Few-Shot Meta Learning ✅ ✅ ✅ ✅ ❌ ❌ ✅ 5
A Lie Group Approach to Riemannian Batch Normalization ✅ ✅ ✅ ✅ ✅ ❌ ✅ 6
A Lightweight Method for Tackling Unknown Participation Statistics in Federated Averaging ✅ ✅ ✅ ❌ ✅ ❌ ✅ 5
A Linear Algebraic Framework for Counterfactual Generation ❌ ❌ ✅ ❌ ❌ ❌ ✅ 2
A Multi-Level Framework for Accelerating Training Transformer Models ✅ ✅ ✅ ✅ ✅ ❌ ✅ 6
A Mutual Information Perspective on Federated Contrastive Learning ✅ ❌ ✅ ❌ ❌ ❌ ✅ 3
A Neural Framework for Generalized Causal Sensitivity Analysis ✅ ✅ ✅ ✅ ❌ ❌ ✅ 5
A Newborn Embodied Turing Test for Comparing Object Segmentation Across Animals and Machines ❌ ✅ ❌ ❌ ❌ ❌ ✅ 2
A Paradigm Shift in Machine Translation: Boosting Translation Performance of Large Language Models ❌ ✅ ✅ ✅ ✅ ❌ ✅ 5
A Plug-and-Play Image Registration Network ❌ ❌ ✅ ❌ ❌ ❌ ✅ 2
A Poincaré Inequality and Consistency Results for Signal Sampling on Large Graphs ❌ ❌ ✅ ✅ ✅ ❌ ✅ 4
A Policy Gradient Method for Confounded POMDPs ✅ ❌ ❌ ❌ ❌ ❌ ✅ 2
A Precise Characterization of SGD Stability Using Loss Surface Geometry ❌ ✅ ❌ ❌ ❌ ❌ ✅ 2
A Primal-Dual Approach to Solving Variational Inequalities with General Constraints ✅ ✅ ✅ ❌ ✅ ❌ ✅ 5
A Probabilistic Framework for Modular Continual Learning ✅ ✅ ✅ ✅ ✅ ✅ ✅ 7
A Progressive Training Framework for Spiking Neural Networks with Learnable Multi-hierarchical Model ✅ ✅ ✅ ❌ ❌ ❌ ✅ 4
A Quadratic Synchronization Rule for Distributed Deep Learning ✅ ❌ ✅ ❌ ✅ ❌ ✅ 4
A ROBUST DIFFERENTIAL NEURAL ODE OPTIMIZER ✅ ❌ ✅ ❌ ✅ ❌ ✅ 4
A Real-World WebAgent with Planning, Long Context Understanding, and Program Synthesis ❌ ❌ ✅ ❌ ✅ ✅ ✅ 4
A Recipe for Improved Certifiable Robustness ❌ ❌ ✅ ❌ ✅ ❌ ✅ 3
A Restoration Network as an Implicit Prior ✅ ✅ ✅ ❌ ❌ ❌ ✅ 4
A Semantic Invariant Robust Watermark for Large Language Models ✅ ✅ ✅ ❌ ✅ ❌ ✅ 5
A Simple Interpretable Transformer for Fine-Grained Image Classification and Analysis ❌ ✅ ✅ ❌ ❌ ❌ ✅ 3
A Simple Romance Between Multi-Exit Vision Transformer and Token Reduction ❌ ❌ ✅ ✅ ✅ ❌ ✅ 4
A Simple and Effective Pruning Approach for Large Language Models ✅ ✅ ✅ ✅ ✅ ❌ ✅ 6
A Simple and Scalable Representation for Graph Generation ❌ ✅ ✅ ✅ ✅ ❌ ✅ 5
A Stable, Fast, and Fully Automatic Learning Algorithm for Predictive Coding Networks ✅ ❌ ✅ ✅ ✅ ❌ ✅ 5
A Statistical Analysis of Wasserstein Autoencoders for Intrinsically Low-dimensional Data ❌ ✅ ✅ ❌ ❌ ❌ ✅ 3
A Study of Bayesian Neural Network Surrogates for Bayesian Optimization ❌ ✅ ✅ ✅ ❌ ❌ ✅ 4
A Sublinear Adversarial Training Algorithm ✅ ❌ ❌ ❌ ❌ ❌ ✅ 2
A Symmetry-Aware Exploration of Bayesian Neural Network Posteriors ❌ ✅ ✅ ❌ ✅ ❌ ✅ 4
A Topological Perspective on Demystifying GNN-Based Link Prediction Performance ✅ ✅ ✅ ✅ ❌ ❌ ✅ 5
A Unified Framework for Bayesian Optimization under Contextual Uncertainty ✅ ✅ ✅ ❌ ❌ ✅ ✅ 5
A Unified Sampling Framework for Solver Searching of Diffusion Probabilistic Models ✅ ✅ ✅ ❌ ✅ ❌ ✅ 5
A Unified and General Framework for Continual Learning ✅ ❌ ✅ ✅ ❌ ❌ ✅ 4
A Variational Framework for Estimating Continuous Treatment Effects with Measurement Error ❌ ❌ ✅ ✅ ✅ ❌ ✅ 4
A Variational Perspective on Solving Inverse Problems with Diffusion Models ✅ ✅ ✅ ✅ ✅ ❌ ✅ 6
A Versatile Causal Discovery Framework to Allow Causally-Related Hidden Variables ✅ ❌ ✅ ❌ ✅ ❌ ✅ 4
A differentiable brain simulator bridging brain simulation and brain-inspired computing ✅ ✅ ✅ ❌ ✅ ✅ ✅ 6
A path-norm toolkit for modern networks: consequences, promises and challenges ✅ ✅ ✅ ✅ ❌ ❌ ✅ 5
A representation-learning game for classes of prediction tasks ✅ ✅ ❌ ❌ ✅ ❌ ✅ 4
A unique M-pattern for micro-expression spotting in long videos ✅ ❌ ✅ ❌ ❌ ✅ ✅ 4
ACRF: Compressing Explicit Neural Radiance Fields via Attribute Compression ❌ ❌ ✅ ❌ ✅ ❌ ✅ 3
ADDP: Learning General Representations for Image Recognition and Generation with Alternating Denoising Diffusion Process ✅ ✅ ✅ ✅ ❌ ❌ ✅ 5
ADOPD: A Large-Scale Document Page Decomposition Dataset ✅ ❌ ✅ ✅ ✅ ❌ ✅ 5
AGILE3D: Attention Guided Interactive Multi-object 3D Segmentation ❌ ❌ ✅ ✅ ✅ ❌ ✅ 4
ALAM: Averaged Low-Precision Activation for Memory-Efficient Training of Transformer Models ✅ ✅ ✅ ✅ ✅ ❌ ✅ 6
AMAGO: Scalable In-Context Reinforcement Learning for Adaptive Agents ✅ ✅ ✅ ❌ ✅ ❌ ✅ 5
ARGS: Alignment as Reward-Guided Search ✅ ✅ ✅ ❌ ✅ ✅ ✅ 6
ARM: Refining Multivariate Forecasting with Adaptive Temporal-Contextual Learning ❌ ❌ ✅ ✅ ✅ ❌ ✅ 4
ASID: Active Exploration for System Identification in Robotic Manipulation ❌ ✅ ❌ ❌ ❌ ❌ ❌ 1
ASMR: Activation-Sharing Multi-Resolution Coordinate Networks for Efficient Inference ❌ ❌ ✅ ❌ ✅ ❌ ✅ 3
AUC-CL: A Batchsize-Robust Framework for Self-Supervised Contrastive Representation Learning ✅ ✅ ✅ ✅ ✅ ❌ ✅ 6
AUGCAL: Improving Sim2Real Adaptation by Uncertainty Calibration on Augmented Synthetic Images ❌ ❌ ✅ ✅ ✅ ❌ ✅ 4
Abstractors and relational cross-attention: An inductive bias for explicit relational reasoning in Transformers ✅ ✅ ✅ ✅ ❌ ❌ ✅ 5
Accelerated Convergence of Stochastic Heavy Ball Method under Anisotropic Gradient Noise ✅ ❌ ✅ ✅ ❌ ❌ ✅ 4
Accelerated Sampling with Stacked Restricted Boltzmann Machines ❌ ❌ ✅ ❌ ❌ ❌ ✅ 2
Accelerating Data Generation for Neural Operators via Krylov Subspace Recycling ✅ ✅ ✅ ❌ ✅ ✅ ✅ 6
Accelerating Distributed Stochastic Optimization via Self-Repellent Random Walks ❌ ❌ ✅ ❌ ❌ ❌ ✅ 2
Accelerating Sinkhorn algorithm with sparse Newton iterations ✅ ❌ ✅ ❌ ✅ ❌ ✅ 4
Accurate Forgetting for Heterogeneous Federated Continual Learning ✅ ✅ ✅ ❌ ✅ ❌ ✅ 5
Accurate Retraining-free Pruning for Pretrained Encoder-based Language Models ✅ ✅ ✅ ❌ ✅ ❌ ✅ 5
Accurate and Scalable Estimation of Epistemic Uncertainty for Graph Neural Networks ✅ ✅ ✅ ✅ ❌ ❌ ✅ 5
Achieving Fairness in Multi-Agent MDP Using Reinforcement Learning ✅ ❌ ❌ ❌ ❌ ❌ ✅ 2
Achieving Human Parity in Content-Grounded Datasets Generation ✅ ❌ ✅ ❌ ❌ ✅ ❌ 3
Achieving Sample and Computational Efficient Reinforcement Learning by Action Space Reduction via Grouping ✅ ❌ ❌ ❌ ❌ ❌ ✅ 2
Active Retrosynthetic Planning Aware of Route Quality ✅ ❌ ✅ ✅ ❌ ❌ ✅ 4
Active Test-Time Adaptation: Theoretical Analyses and An Algorithm ✅ ✅ ✅ ❌ ✅ ❌ ✅ 5
AdaMerging: Adaptive Model Merging for Multi-Task Learning ❌ ✅ ✅ ✅ ✅ ❌ ✅ 5
Adapting Large Language Models via Reading Comprehension ❌ ✅ ✅ ❌ ✅ ❌ ✅ 4
Adapting to Distribution Shift by Visual Domain Prompt Generation ✅ ❌ ✅ ✅ ❌ ❌ ✅ 4
Adaptive Chameleon or Stubborn Sloth: Revealing the Behavior of Large Language Models in Knowledge Conflicts ❌ ✅ ✅ ❌ ❌ ✅ ✅ 4
Adaptive Federated Learning with Auto-Tuned Clients ✅ ✅ ✅ ❌ ❌ ❌ ✅ 4
Adaptive Instrument Design for Indirect Experiments ✅ ❌ ✅ ❌ ❌ ❌ ✅ 3
Adaptive Rational Activations to Boost Deep Reinforcement Learning ❌ ✅ ✅ ❌ ✅ ❌ ✅ 4
Adaptive Regret for Bandits Made Possible: Two Queries Suffice ✅ ❌ ✅ ❌ ❌ ❌ ✅ 3
Adaptive Regularization of Representation Rank as an Implicit Constraint of Bellman Equation ✅ ✅ ✅ ❌ ✅ ❌ ✅ 5
Adaptive Retrieval and Scalable Indexing for k-NN Search with Cross-Encoders ✅ ❌ ✅ ✅ ✅ ❌ ✅ 5
Adaptive Self-training Framework for Fine-grained Scene Graph Generation ✅ ✅ ✅ ✅ ✅ ❌ ✅ 6
Adaptive Sharpness-Aware Pruning for Robust Sparse Networks ✅ ❌ ✅ ✅ ✅ ❌ ✅ 5
Adaptive Stochastic Gradient Algorithm for Black-box Multi-Objective Learning ✅ ❌ ✅ ❌ ✅ ❌ ✅ 4
Adaptive Window Pruning for Efficient Local Motion Deblurring ❌ ✅ ✅ ❌ ✅ ❌ ✅ 4
Adaptive deep spiking neural network with global-local learning via balanced excitatory and inhibitory mechanism ✅ ❌ ✅ ✅ ✅ ❌ ✅ 5
Addressing Loss of Plasticity and Catastrophic Forgetting in Continual Learning ✅ ✅ ✅ ❌ ❌ ❌ ✅ 4
Addressing Signal Delay in Deep Reinforcement Learning ❌ ❌ ✅ ❌ ❌ ❌ ✅ 2
AdjointDPM: Adjoint Sensitivity Method for Gradient Backpropagation of Diffusion Probabilistic Models ✅ ✅ ✅ ❌ ✅ ❌ ✅ 5
Advancing Pose-Guided Image Synthesis with Progressive Conditional Diffusion Models ❌ ✅ ✅ ✅ ✅ ✅ ✅ 6
Advancing the Lower Bounds: an Accelerated, Stochastic, Second-order Method with Optimal Adaptation to Inexactness ✅ ✅ ✅ ❌ ❌ ✅ ✅ 5
Adversarial Adaptive Sampling: Unify PINN and Optimal Transport for the Approximation of PDEs ✅ ❌ ❌ ❌ ✅ ✅ ✅ 4
Adversarial Attacks on Fairness of Graph Neural Networks ✅ ✅ ✅ ✅ ✅ ✅ ✅ 7
Adversarial AutoMixup ✅ ✅ ✅ ✅ ❌ ❌ ✅ 5
Adversarial Causal Bayesian Optimization ✅ ✅ ✅ ❌ ❌ ❌ ❌ 3
Adversarial Feature Map Pruning for Backdoor ✅ ✅ ✅ ✅ ❌ ❌ ✅ 5
Adversarial Imitation Learning via Boosting ✅ ❌ ✅ ❌ ❌ ❌ ✅ 3
Adversarial Supervision Makes Layout-to-Image Diffusion Models Thrive ❌ ❌ ✅ ✅ ✅ ❌ ✅ 4
Adversarial Training Should Be Cast as a Non-Zero-Sum Game ✅ ❌ ✅ ✅ ❌ ❌ ✅ 4
Adversarial Training on Purification (AToP): Advancing Both Robustness and Generalization ✅ ❌ ✅ ❌ ✅ ✅ ✅ 5
AffineQuant: Affine Transformation Quantization for Large Language Models ❌ ✅ ✅ ❌ ✅ ❌ ✅ 4
AgentBench: Evaluating LLMs as Agents ❌ ✅ ✅ ✅ ❌ ❌ ✅ 4
AgentVerse: Facilitating Multi-Agent Collaboration and Exploring Emergent Behaviors ❌ ✅ ✅ ❌ ❌ ✅ ✅ 4
AirPhyNet: Harnessing Physics-Guided Neural Networks for Air Quality Prediction ❌ ✅ ✅ ✅ ✅ ✅ ✅ 6
Algorithms for Caching and MTS with reduced number of predictions ✅ ✅ ✅ ❌ ❌ ❌ ✅ 4
Alice Benchmarks: Connecting Real World Re-Identification with the Synthetic ❌ ✅ ✅ ✅ ✅ ❌ ❌ 4
Align With Purpose: Optimize Desired Properties in CTC Models with a General Plug-and-Play Framework ❌ ✅ ✅ ❌ ❌ ❌ ✅ 3
AlignDiff: Aligning Diverse Human Preferences via Behavior-Customisable Diffusion Model ✅ ❌ ✅ ❌ ❌ ❌ ✅ 3
Aligning Relational Learning with Lipschitz Fairness ✅ ✅ ✅ ✅ ❌ ❌ ✅ 5
Alleviating Exposure Bias in Diffusion Models through Sampling with Shifted Time Steps ✅ ✅ ✅ ❌ ✅ ❌ ❌ 4
AlpaGasus: Training a Better Alpaca with Fewer Data ❌ ✅ ✅ ❌ ✅ ❌ ✅ 4
Alt-Text with Context: Improving Accessibility for Images on Twitter ❌ ❌ ✅ ✅ ✅ ❌ ✅ 4
Amortized Network Intervention to Steer the Excitatory Point Processes ✅ ❌ ✅ ✅ ✅ ❌ ✅ 5
AmortizedPeriod: Attention-based Amortized Inference for Periodicity Identification ✅ ✅ ✅ ❌ ✅ ❌ ✅ 5
Amortizing intractable inference in large language models ❌ ✅ ✅ ✅ ❌ ❌ ✅ 4
An Agnostic View on the Cost of Overfitting in (Kernel) Ridge Regression ❌ ❌ ❌ ❌ ❌ ❌ ❌ 0
An Analytical Solution to Gauss-Newton Loss for Direct Image Alignment ✅ ✅ ✅ ❌ ✅ ❌ ✅ 5
An Efficient Membership Inference Attack for the Diffusion Model by Proximal Initialization ❌ ✅ ✅ ✅ ❌ ❌ ✅ 4
An Efficient Tester-Learner for Halfspaces ✅ ❌ ❌ ❌ ❌ ❌ ❌ 1
An Emulator for Fine-tuning Large Language Models using Small Language Models ❌ ✅ ✅ ❌ ❌ ❌ ✅ 3
An Extensible Framework for Open Heterogeneous Collaborative Perception ❌ ✅ ✅ ✅ ✅ ❌ ✅ 5
An Image Is Worth 1000 Lies: Transferability of Adversarial Images across Prompts on Vision-Language Models ✅ ✅ ✅ ❌ ❌ ❌ ✅ 4
An Intuitive Multi-Frequency Feature Representation for SO(3)-Equivariant Networks ✅ ✅ ✅ ❌ ❌ ❌ ✅ 4
An Investigation of Representation and Allocation Harms in Contrastive Learning ❌ ✅ ✅ ✅ ❌ ❌ ✅ 4
An LLM can Fool Itself: A Prompt-Based Adversarial Attack ❌ ✅ ✅ ❌ ✅ ❌ ✅ 4
An Unforgeable Publicly Verifiable Watermark for Large Language Models ✅ ✅ ✅ ❌ ✅ ❌ ✅ 5
An improved analysis of per-sample and per-update clipping in federated learning ✅ ❌ ✅ ✅ ❌ ✅ ✅ 5
An interpretable error correction method for enhancing code-to-code translation ❌ ✅ ✅ ❌ ❌ ❌ ✅ 3
An operator preconditioning perspective on training in physics-informed machine learning ❌ ❌ ❌ ❌ ❌ ✅ ✅ 2
Analysis of Learning a Flow-based Generative Model from Limited Sample Complexity ❌ ✅ ❌ ❌ ❌ ❌ ✅ 2
Analyzing Feed-Forward Blocks in Transformers through the Lens of Attention Maps ❌ ✅ ✅ ✅ ✅ ❌ ✅ 5
Analyzing and Improving Optimal-Transport-based Adversarial Networks ✅ ✅ ✅ ❌ ❌ ❌ ✅ 4
Analyzing and Mitigating Object Hallucination in Large Vision-Language Models ✅ ✅ ✅ ✅ ✅ ❌ ✅ 6
AnimateDiff: Animate Your Personalized Text-to-Image Diffusion Models without Specific Tuning ❌ ✅ ✅ ❌ ✅ ❌ ✅ 4
Annealing Self-Distillation Rectification Improves Adversarial Training ✅ ✅ ✅ ✅ ✅ ❌ ✅ 6
AnomalyCLIP: Object-agnostic Prompt Learning for Zero-shot Anomaly Detection ❌ ❌ ✅ ❌ ✅ ✅ ✅ 4
AntGPT: Can Large Language Models Help Long-term Action Anticipation from Videos? ❌ ✅ ✅ ✅ ✅ ❌ ✅ 5
AnyText: Multilingual Visual Text Generation and Editing ❌ ✅ ✅ ✅ ✅ ❌ ✅ 5
Approximately Piecewise E(3) Equivariant Point Networks ✅ ❌ ✅ ✅ ✅ ❌ ✅ 5
Approximating Nash Equilibria in Normal-Form Games via Stochastic Optimization ❌ ❌ ✅ ❌ ❌ ❌ ✅ 2
ArchLock: Locking DNN Transferability at the Architecture Level with a Zero-Cost Binary Predictor ✅ ✅ ✅ ✅ ❌ ❌ ✅ 5
Are Bert Family Good Instruction Followers? A Study on Their Potential And Limitations ❌ ✅ ✅ ✅ ✅ ❌ ✅ 5
Are Human-generated Demonstrations Necessary for In-context Learning? ❌ ✅ ✅ ✅ ❌ ❌ ✅ 4
Are Models Biased on Text without Gender-related Language? ❌ ✅ ✅ ❌ ❌ ✅ ✅ 4
Are Transformers with One Layer Self-Attention Using Low-Rank Weight Matrices Universal Approximators? ❌ ❌ ✅ ❌ ❌ ❌ ✅ 2
Assessing Uncertainty in Similarity Scoring: Performance & Fairness in Face Recognition ✅ ❌ ✅ ❌ ❌ ❌ ✅ 3
Asymptotically Free Sketched Ridge Ensembles: Risks, Cross-Validation, and Tuning ❌ ❌ ✅ ✅ ✅ ❌ ✅ 4
At Which Training Stage Does Code Data Help LLMs Reasoning? ❌ ✅ ✅ ❌ ✅ ✅ ✅ 5
AttEXplore: Attribution for Explanation with model parameters eXploration ❌ ✅ ✅ ❌ ✅ ❌ ✅ 4
Attention Satisfies: A Constraint-Satisfaction Lens on Factual Errors of Language Models ❌ ✅ ✅ ✅ ✅ ✅ ✅ 6
Attention-Guided Contrastive Role Representations for Multi-agent Reinforcement Learning ✅ ✅ ✅ ❌ ❌ ❌ ✅ 4
Attention-based Iterative Decomposition for Tensor Product Representation ✅ ✅ ✅ ✅ ❌ ❌ ✅ 5
AuG-KD: Anchor-Based Mixup Generation for Out-of-Domain Knowledge Distillation ✅ ✅ ✅ ✅ ✅ ❌ ✅ 6
Augmented Bayesian Policy Search ✅ ✅ ✅ ❌ ✅ ✅ ✅ 6
Augmenting Transformers with Recursively Composed Multi-grained Representations ✅ ✅ ✅ ✅ ✅ ❌ ✅ 6
AutoCast++: Enhancing World Event Prediction with Zero-shot Ranking-based Context Retrieval ❌ ✅ ✅ ❌ ❌ ❌ ✅ 3
AutoChunk: Automated Activation Chunk for Memory-Efficient Deep Learning Inference ✅ ❌ ❌ ❌ ✅ ❌ ❌ 2
AutoDAN: Generating Stealthy Jailbreak Prompts on Aligned Large Language Models ✅ ✅ ✅ ❌ ✅ ✅ ✅ 6
AutoLoRa: An Automated Robust Fine-Tuning Framework ✅ ✅ ✅ ✅ ❌ ❌ ✅ 5
AutoVP: An Automated Visual Prompting Framework and Benchmark ✅ ✅ ✅ ✅ ✅ ❌ ✅ 6
AutomaTikZ: Text-Guided Synthesis of Scientific Vector Graphics with TikZ ❌ ✅ ✅ ❌ ❌ ❌ ✅ 3
Automatic Functional Differentiation in JAX ✅ ✅ ❌ ❌ ❌ ❌ ✅ 3
Aux-NAS: Exploiting Auxiliary Labels with Negligibly Extra Inference Cost ❌ ✅ ✅ ✅ ❌ ❌ ✅ 4
BECLR: Batch Enhanced Contrastive Few-Shot Learning ✅ ✅ ✅ ✅ ✅ ❌ ✅ 6
BEND: Benchmarking DNA Language Models on Biologically Meaningful Tasks ❌ ✅ ✅ ✅ ✅ ❌ ✅ 5
BENO: Boundary-embedded Neural Operators for Elliptic PDEs ✅ ✅ ❌ ✅ ✅ ❌ ✅ 5
BESA: Pruning Large Language Models with Blockwise Parameter-Efficient Sparsity Allocation ✅ ❌ ✅ ✅ ✅ ❌ ✅ 5
BRUSLEATTACK: A QUERY-EFFICIENT SCORE- BASED BLACK-BOX SPARSE ADVERSARIAL ATTACK ✅ ✅ ✅ ✅ ✅ ❌ ✅ 6
BTR: Binary Token Representations for Efficient Retrieval Augmented Language Models ✅ ✅ ✅ ✅ ✅ ✅ ✅ 7
BaDExpert: Extracting Backdoor Functionality for Accurate Backdoor Input Detection ✅ ✅ ✅ ✅ ✅ ❌ ✅ 6
Backdoor Contrastive Learning via Bi-level Trigger Optimization ✅ ✅ ✅ ✅ ❌ ❌ ✅ 5
Backdoor Federated Learning by Poisoning Backdoor-Critical Layers ❌ ❌ ✅ ✅ ✅ ❌ ✅ 4
Backdoor Secrets Unveiled: Identifying Backdoor Data with Optimized Scaled Prediction Consistency ❌ ✅ ✅ ✅ ✅ ❌ ✅ 5
BadChain: Backdoor Chain-of-Thought Prompting for Large Language Models ❌ ✅ ✅ ✅ ❌ ❌ ✅ 4
BadEdit: Backdooring Large Language Models by Model Editing ✅ ❌ ✅ ✅ ✅ ❌ ✅ 5
Balancing Act: Constraining Disparate Impact in Sparse Models ✅ ✅ ✅ ✅ ✅ ✅ ✅ 7
Bandits Meet Mechanism Design to Combat Clickbait in Online Recommendation ✅ ❌ ❌ ❌ ❌ ❌ ✅ 2
Bandits with Replenishable Knapsacks: the Best of both Worlds ✅ ❌ ❌ ❌ ❌ ❌ ❌ 1
BarLeRIa: An Efficient Tuning Framework for Referring Image Segmentation ❌ ✅ ✅ ✅ ✅ ❌ ✅ 5
Batch Calibration: Rethinking Calibration for In-Context Learning and Prompt Engineering ❌ ❌ ✅ ✅ ❌ ❌ ✅ 3
Batch normalization is sufficient for universal function approximation in CNNs ❌ ❌ ✅ ❌ ✅ ❌ ✅ 3
BatchPrompt: Accomplish more with less ✅ ✅ ✅ ✅ ❌ ❌ ✅ 5
Batched Low-Rank Adaptation of Foundation Models ✅ ❌ ✅ ❌ ✅ ✅ ✅ 5
BatteryML: An Open-source Platform for Machine Learning on Battery Degradation ❌ ✅ ✅ ❌ ❌ ❌ ✅ 3
Bayes Conditional Distribution Estimation for Knowledge Distillation Based on Conditional Mutual Information ❌ ✅ ✅ ✅ ❌ ❌ ✅ 4
BayesDiff: Estimating Pixel-wise Uncertainty in Diffusion via Bayesian Inference ✅ ✅ ✅ ❌ ❌ ❌ ✅ 4
BayesPrompt: Prompting Large-Scale Pre-Trained Language Models on Few-shot Inference via Debiased Domain Abstraction ✅ ✅ ✅ ✅ ✅ ❌ ✅ 6
Bayesian Bi-clustering of Neural Spiking Activity with Latent Structures ❌ ✅ ✅ ❌ ❌ ❌ ✅ 3
Bayesian Coreset Optimization for Personalized Federated Learning ✅ ✅ ✅ ❌ ✅ ❌ ✅ 5
Bayesian Low-rank Adaptation for Large Language Models ✅ ✅ ✅ ✅ ❌ ❌ ✅ 5
Bayesian Neural Controlled Differential Equations for Treatment Effect Estimation ❌ ✅ ✅ ✅ ✅ ❌ ✅ 5
Bayesian Optimization through Gaussian Cox Process Models for Spatio-temporal Data ✅ ✅ ✅ ❌ ✅ ✅ ✅ 6
Be Aware of the Neighborhood Effect: Modeling Selection Bias under Interference ✅ ✅ ✅ ❌ ✅ ❌ ✅ 5
Be Careful What You Smooth For: Label Smoothing Can Be a Privacy Shield but Also a Catalyst for Model Inversion Attacks ❌ ✅ ✅ ❌ ✅ ✅ ✅ 5
Beam Enumeration: Probabilistic Explainability For Sample Efficient Self-conditioned Molecular Design ✅ ✅ ✅ ❌ ✅ ❌ ✅ 5
Beating Price of Anarchy and Gradient Descent without Regret in Potential Games ❌ ❌ ❌ ❌ ❌ ❌ ✅ 1
Behaviour Distillation ✅ ✅ ✅ ❌ ✅ ❌ ✅ 5
Belief-Enriched Pessimistic Q-Learning against Adversarial State Perturbations ✅ ✅ ✅ ❌ ✅ ❌ ✅ 5
Bellman Optimal Stepsize Straightening of Flow-Matching Models ✅ ✅ ✅ ❌ ✅ ❌ ✅ 5
Benchmarking Algorithms for Federated Domain Generalization ✅ ✅ ✅ ✅ ❌ ✅ ✅ 6
Benchmarking and Improving Generator-Validator Consistency of Language Models ❌ ✅ ✅ ❌ ✅ ❌ ✅ 4
Benign Oscillation of Stochastic Gradient Descent with Large Learning Rate ❌ ❌ ✅ ❌ ❌ ❌ ✅ 2
Benign Overfitting and Grokking in ReLU Networks for XOR Cluster Data ❌ ❌ ❌ ❌ ❌ ❌ ✅ 1
Bespoke Solvers for Generative Flow Models ✅ ❌ ✅ ✅ ❌ ❌ ✅ 4
Better Neural PDE Solvers Through Data-Free Mesh Movers ❌ ✅ ❌ ❌ ✅ ❌ ✅ 3
Beyond Accuracy: Evaluating Self-Consistency of Code Large Language Models with IdentityChain ❌ ✅ ✅ ✅ ✅ ✅ ✅ 6
Beyond IID weights: sparse and low-rank deep Neural Networks are also Gaussian Processes ❌ ✅ ✅ ❌ ❌ ❌ ✅ 3
Beyond Imitation: Leveraging Fine-grained Quality Signals for Alignment ✅ ✅ ✅ ❌ ❌ ❌ ✅ 4
Beyond Memorization: Violating Privacy via Inference with Large Language Models ❌ ✅ ❌ ❌ ❌ ❌ ✅ 2
Beyond Reverse KL: Generalizing Direct Preference Optimization with Diverse Divergence Constraints ✅ ❌ ✅ ❌ ❌ ❌ ✅ 3
Beyond Spatio-Temporal Representations: Evolving Fourier Transform for Temporal Graphs ❌ ✅ ✅ ✅ ✅ ❌ ✅ 5
Beyond Stationarity: Convergence Analysis of Stochastic Softmax Policy Gradient Methods ✅ ❌ ❌ ❌ ❌ ❌ ✅ 2
Beyond Vanilla Variational Autoencoders: Detecting Posterior Collapse in Conditional and Hierarchical Variational Autoencoders ❌ ❌ ✅ ❌ ❌ ❌ ✅ 2
Beyond Weisfeiler-Lehman: A Quantitative Framework for GNN Expressiveness ❌ ✅ ✅ ✅ ✅ ✅ ✅ 6
Beyond Worst-case Attacks: Robust RL with Adaptive Defense via Non-dominated Policies ✅ ✅ ✅ ❌ ✅ ❌ ✅ 5
Beyond task performance: evaluating and reducing the flaws of large multimodal models with in-context-learning ❌ ✅ ✅ ✅ ❌ ❌ ✅ 4
Bias Runs Deep: Implicit Reasoning Biases in Persona-Assigned LLMs ❌ ✅ ✅ ✅ ❌ ✅ ✅ 5
Biased Temporal Convolution Graph Network for Time Series Forecasting with Missing Values ❌ ✅ ✅ ✅ ✅ ✅ ✅ 6
Bidirectional Temporal Diffusion Model for Temporally Consistent Human Animation ✅ ❌ ✅ ✅ ✅ ❌ ✅ 5
Bilevel Optimization under Unbounded Smoothness: A New Algorithm and Convergence Analysis ✅ ✅ ✅ ✅ ✅ ✅ ✅ 7
BioBridge: Bridging Biomedical Foundation Models via Knowledge Graphs ❌ ✅ ✅ ✅ ❌ ❌ ✅ 4
Blending Imitation and Reinforcement Learning for Robust Policy Improvement ✅ ✅ ✅ ❌ ✅ ❌ ✅ 5
Bongard-OpenWorld: Few-Shot Reasoning for Free-form Visual Concepts in the Real World ✅ ❌ ✅ ✅ ❌ ❌ ✅ 4
BooookScore: A systematic exploration of book-length summarization in the era of LLMs ❌ ✅ ✅ ✅ ❌ ❌ ✅ 4
Boosting Graph Anomaly Detection with Adaptive Message Passing ❌ ✅ ✅ ❌ ✅ ✅ ✅ 5
Boosting Vanilla Lightweight Vision Transformers via Re-parameterization ❌ ❌ ✅ ✅ ✅ ❌ ✅ 4
Boosting of Thoughts: Trial-and-Error Problem Solving with Large Language Models ✅ ✅ ✅ ❌ ❌ ❌ ✅ 4
Boosting the Adversarial Robustness of Graph Neural Networks: An OOD Perspective ✅ ✅ ✅ ✅ ✅ ✅ ✅ 7
Bootstrapping Variational Information Pursuit with Large Language and Vision Models for Interpretable Image Classification ❌ ✅ ✅ ✅ ✅ ❌ ✅ 5
Boundary Denoising for Video Activity Localization ❌ ✅ ✅ ✅ ❌ ✅ ✅ 5
Bounding Box Stability against Feature Dropout Reflects Detector Generalization across Environments ❌ ✅ ✅ ✅ ✅ ✅ ✅ 6
Bounding the Expected Robustness of Graph Neural Networks Subject to Node Feature Attacks ✅ ✅ ✅ ✅ ✅ ❌ ✅ 6
Bounds on Representation-Induced Confounding Bias for Treatment Effect Estimation ❌ ✅ ✅ ✅ ❌ ❌ ✅ 4
Brain decoding: toward real-time reconstruction of visual perception ❌ ❌ ✅ ✅ ✅ ❌ ✅ 4
BrainLM: A foundation model for brain activity recordings ❌ ❌ ✅ ❌ ❌ ❌ ✅ 2
BrainSCUBA: Fine-Grained Natural Language Captions of Visual Cortex Selectivity ❌ ✅ ✅ ✅ ✅ ❌ ✅ 5
Branch-GAN: Improving Text Generation with (not so) Large Language Models ❌ ✅ ✅ ❌ ✅ ❌ ✅ 4
Breaking Physical and Linguistic Borders: Multilingual Federated Prompt Tuning for Low-Resource Languages ✅ ✅ ✅ ✅ ✅ ❌ ✅ 6
Bridging Neural and Symbolic Representations with Transitional Dictionary Learning ✅ ✅ ✅ ✅ ✅ ❌ ✅ 6
Bridging State and History Representations: Understanding Self-Predictive RL ✅ ✅ ✅ ❌ ❌ ❌ ✅ 4
Bridging Vision and Language Spaces with Assignment Prediction ❌ ✅ ✅ ❌ ❌ ❌ ✅ 3
BroGNet: Momentum-Conserving Graph Neural Stochastic Differential Equation for Learning Brownian Dynamics ❌ ✅ ✅ ✅ ✅ ✅ ✅ 6
Building Cooperative Embodied Agents Modularly with Large Language Models ❌ ❌ ✅ ❌ ❌ ❌ ✅ 2
Butterfly Effects of SGD Noise: Error Amplification in Behavior Cloning and Autoregression ❌ ❌ ✅ ✅ ✅ ❌ ✅ 4
Byzantine Robust Cooperative Multi-Agent Reinforcement Learning as a Bayesian Game ✅ ✅ ✅ ❌ ❌ ❌ ✅ 4
C-TPT: Calibrated Test-Time Prompt Tuning for Vision-Language Models via Text Feature Dispersion ❌ ✅ ✅ ❌ ✅ ❌ ✅ 4
CABINET: Content Relevance-based Noise Reduction for Table Question Answering ❌ ✅ ✅ ✅ ✅ ❌ ✅ 5
CADS: Unleashing the Diversity of Diffusion Models through Condition-Annealed Sampling ✅ ❌ ✅ ✅ ❌ ❌ ✅ 4
CALICO: Self-Supervised Camera-LiDAR Contrastive Pre-training for BEV Perception ❌ ❌ ✅ ✅ ✅ ❌ ✅ 4
CAMBranch: Contrastive Learning with Augmented MILPs for Branching ❌ ❌ ✅ ❌ ✅ ✅ ✅ 4
CAMIL: Context-Aware Multiple Instance Learning for Cancer Detection and Subtyping in Whole Slide Images ❌ ✅ ✅ ✅ ✅ ❌ ❌ 4
CARD: Channel Aligned Robust Blend Transformer for Time Series Forecasting ✅ ✅ ✅ ❌ ✅ ❌ ✅ 5
CAS: A Probability-Based Approach for Universal Condition Alignment Score ❌ ❌ ✅ ❌ ❌ ❌ ✅ 2
CCIL: Continuity-Based Data Augmentation for Corrective Imitation Learning ✅ ❌ ✅ ❌ ❌ ❌ ✅ 3
CIFAR-10-Warehouse: Broad and More Realistic Testbeds in Model Generalization Analysis ❌ ✅ ✅ ✅ ✅ ✅ ✅ 6
CLAP: Collaborative Adaptation for Patchwork Learning ✅ ✅ ✅ ❌ ✅ ❌ ✅ 5
CLEX: Continuous Length Extrapolation for Large Language Models ✅ ✅ ✅ ❌ ✅ ❌ ✅ 5
CLIP the Bias: How Useful is Balancing Data in Multimodal Learning? ✅ ❌ ✅ ❌ ✅ ❌ ✅ 4
CLIP-MUSED: CLIP-Guided Multi-Subject Visual Neural Information Semantic Decoding ❌ ✅ ✅ ✅ ✅ ❌ ✅ 5
CLIPSelf: Vision Transformer Distills Itself for Open-Vocabulary Dense Prediction ❌ ✅ ✅ ✅ ✅ ❌ ✅ 5
CLaM-TTS: Improving Neural Codec Language Model for Zero-Shot Text-to-Speech ❌ ❌ ✅ ❌ ✅ ❌ ✅ 3
CNN Kernels Can Be the Best Shapelets ❌ ❌ ✅ ✅ ✅ ❌ ✅ 4
CO2: Efficient Distributed Training with Full Communication-Computation Overlap ✅ ✅ ✅ ✅ ✅ ✅ ✅ 7
COCO-Periph: Bridging the Gap Between Human and Machine Perception in the Periphery ✅ ✅ ✅ ✅ ❌ ❌ ✅ 5
CODE REPRESENTATION LEARNING AT SCALE ❌ ✅ ✅ ✅ ❌ ❌ ✅ 4
COLEP: Certifiably Robust Learning-Reasoning Conformal Prediction via Probabilistic Circuits ❌ ✅ ✅ ✅ ✅ ❌ ✅ 5
COLLIE: Systematic Construction of Constrained Text Generation Tasks ✅ ✅ ✅ ❌ ❌ ❌ ✅ 4
COPlanner: Plan to Roll Out Conservatively but to Explore Optimistically for Model-Based RL ✅ ✅ ✅ ❌ ✅ ❌ ✅ 5
CORN: Contact-based Object Representation for Nonprehensile Manipulation of General Unseen Objects ✅ ✅ ✅ ❌ ❌ ❌ ✅ 4
COSA: Concatenated Sample Pretrained Vision-Language Foundation Model ❌ ✅ ✅ ✅ ✅ ❌ ✅ 5
CPPO: Continual Learning for Reinforcement Learning with Human Feedback ✅ ❌ ✅ ✅ ✅ ❌ ✅ 5
CRAFT: Customizing LLMs by Creating and Retrieving from Specialized Toolsets ❌ ✅ ✅ ❌ ❌ ❌ ✅ 3
CRITIC: Large Language Models Can Self-Correct with Tool-Interactive Critiquing ✅ ✅ ✅ ✅ ❌ ❌ ✅ 5
Cameras as Rays: Pose Estimation via Ray Diffusion ❌ ✅ ✅ ❌ ✅ ❌ ✅ 4
Can LLM-Generated Misinformation Be Detected? ❌ ❌ ✅ ❌ ❌ ✅ ✅ 3
Can LLMs Express Their Uncertainty? An Empirical Evaluation of Confidence Elicitation in LLMs ❌ ✅ ✅ ❌ ❌ ❌ ✅ 3
Can LLMs Keep a Secret? Testing Privacy Implications of Language Models via Contextual Integrity Theory ❌ ❌ ❌ ❌ ❌ ❌ ✅ 1
Can Large Language Models Infer Causation from Correlation? ❌ ✅ ✅ ✅ ✅ ❌ ✅ 5
Can Sensitive Information Be Deleted From LLMs? Objectives for Defending Against Extraction Attacks ❌ ✅ ✅ ✅ ❌ ❌ ✅ 4
Can Transformers Capture Spatial Relations between Objects? ❌ ✅ ✅ ✅ ❌ ❌ ✅ 4
Can We Evaluate Domain Adaptation Models Without Target-Domain Labels? ❌ ✅ ✅ ❌ ❌ ❌ ✅ 3
Can we get the best of both Binary Neural Networks and Spiking Neural Networks for Efficient Computer Vision? ❌ ✅ ✅ ❌ ✅ ❌ ✅ 4
Candidate Label Set Pruning: A Data-centric Perspective for Deep Partial-label Learning ✅ ❌ ✅ ❌ ❌ ❌ ✅ 3
Cascading Reinforcement Learning ✅ ❌ ✅ ❌ ❌ ❌ ✅ 3
Catastrophic Jailbreak of Open-source LLMs via Exploiting Generation ✅ ✅ ✅ ✅ ✅ ❌ ✅ 6
Cauchy-Schwarz Divergence Information Bottleneck for Regression ❌ ✅ ✅ ✅ ✅ ❌ ✅ 5
Causal Fairness under Unobserved Confounding: A Neural Sensitivity Framework ✅ ✅ ✅ ✅ ❌ ❌ ✅ 5
Causal Inference with Conditional Front-Door Adjustment and Identifiable Variational Autoencoder ✅ ✅ ✅ ❌ ❌ ❌ ✅ 4
Causal Modelling Agents: Causal Graph Discovery through Synergising Metadata- and Data-driven Reasoning ✅ ✅ ✅ ❌ ✅ ❌ ✅ 5
Causal Structure Recovery with Latent Variables under Milder Distributional and Graphical Assumptions ✅ ❌ ✅ ❌ ❌ ❌ ❌ 2
Causal-StoNet: Causal Inference for High-Dimensional Complex Data ✅ ✅ ✅ ✅ ❌ ❌ ✅ 5
CausalLM is not optimal for in-context learning ❌ ❌ ✅ ✅ ❌ ❌ ✅ 3
CausalTime: Realistically Generated Time-series for Benchmarking of Causal Discovery ✅ ✅ ✅ ❌ ✅ ❌ ✅ 5
Causality-Inspired Spatial-Temporal Explanations for Dynamic Graph Neural Networks ❌ ✅ ✅ ✅ ✅ ❌ ✅ 5
Causally Aligned Curriculum Learning ✅ ❌ ✅ ❌ ❌ ❌ ✅ 3
CellPLM: Pre-training of Cell Language Model Beyond Single Cells ❌ ✅ ✅ ✅ ✅ ❌ ✅ 5
Certified Adversarial Robustness for Rate Encoded Spiking Neural Networks ✅ ✅ ✅ ❌ ✅ ❌ ✅ 5
Chain of Hindsight aligns Language Models with Feedback ✅ ✅ ✅ ✅ ✅ ❌ ✅ 6
Chain of Log-Concave Markov Chains ✅ ❌ ❌ ❌ ❌ ❌ ✅ 2
Chain of Thought Empowers Transformers to Solve Inherently Serial Problems ✅ ✅ ❌ ❌ ❌ ❌ ✅ 3
Chain-of-Experts: When LLMs Meet Complex Operations Research Problems ✅ ✅ ✅ ✅ ❌ ❌ ✅ 5
Chain-of-Knowledge: Grounding Large Language Models via Dynamic Knowledge Adapting over Heterogeneous Sources ❌ ✅ ✅ ✅ ✅ ✅ ✅ 6
Chain-of-Table: Evolving Tables in the Reasoning Chain for Table Understanding ✅ ❌ ✅ ✅ ❌ ❌ ✅ 4
Chameleon: Increasing Label-Only Membership Leakage with Adaptive Poisoning ✅ ❌ ✅ ❌ ✅ ❌ ✅ 4
Channel Vision Transformers: An Image Is Worth 1 x 16 x 16 Words ❌ ✅ ✅ ✅ ✅ ❌ ✅ 5
ChatEval: Towards Better LLM-based Evaluators through Multi-Agent Debate ✅ ❌ ✅ ❌ ❌ ❌ ✅ 3
Circuit Component Reuse Across Tasks in Transformer Language Models ❌ ✅ ✅ ❌ ❌ ❌ ✅ 3
CircuitNet 2.0: An Advanced Dataset for Promoting Machine Learning Innovations in Realistic Chip Design Environment ❌ ✅ ✅ ❌ ❌ ✅ ✅ 4
Circumventing Concept Erasure Methods For Text-To-Image Generative Models ✅ ✅ ✅ ❌ ✅ ❌ ✅ 5
CivRealm: A Learning and Reasoning Odyssey in Civilization for Decision-Making Agents ❌ ✅ ❌ ❌ ❌ ❌ ✅ 2
Class Incremental Learning via Likelihood Ratio Based Task Prediction ✅ ✅ ✅ ❌ ✅ ❌ ✅ 5
Class Probability Matching with Calibrated Networks for Label Shift Adaption ✅ ✅ ✅ ✅ ❌ ❌ ✅ 5
Classification with Conceptual Safeguards ✅ ✅ ✅ ❌ ❌ ❌ ✅ 4
Cleanba: A Reproducible and Efficient Distributed Reinforcement Learning Platform ✅ ✅ ✅ ❌ ✅ ❌ ✅ 5
Clifford Group Equivariant Simplicial Message Passing Networks ✅ ✅ ✅ ✅ ✅ ❌ ✅ 6
ClimODE: Climate and Weather Forecasting with Physics-informed Neural ODEs ❌ ✅ ✅ ✅ ✅ ❌ ✅ 5
Closing the Curious Case of Neural Text Degeneration ✅ ✅ ✅ ✅ ❌ ✅ ✅ 6
Closing the Gap between TD Learning and Supervised Learning - A Generalisation Point of View. ✅ ✅ ✅ ❌ ❌ ❌ ✅ 4
CoBIT: A Contrastive Bi-directional Image-Text Generation Model ❌ ❌ ✅ ✅ ✅ ❌ ✅ 4
CoLiDE: Concomitant Linear DAG Estimation ✅ ✅ ❌ ❌ ✅ ❌ ✅ 4
CoRe-GD: A Hierarchical Framework for Scalable Graph Visualization with GNNs ✅ ✅ ✅ ✅ ✅ ❌ ✅ 6
CoT3DRef: Chain-of-Thoughts Data-Efficient 3D Visual Grounding ✅ ✅ ✅ ✅ ✅ ❌ ✅ 6
CoVLM: Composing Visual Entities and Relationships in Large Language Models Via Communicative Decoding ✅ ❌ ✅ ✅ ❌ ❌ ✅ 4
CodeChain: Towards Modular Code Generation Through Chain of Self-revisions with Representative Sub-modules ❌ ✅ ✅ ✅ ❌ ✅ ✅ 5
Coeditor: Leveraging Repo-level Diffs for Code Auto-editing ❌ ✅ ✅ ✅ ✅ ❌ ✅ 5
Combinatorial Bandits for Maximum Value Reward Function under Value-Index Feedback ✅ ✅ ❌ ❌ ❌ ❌ ✅ 3
Combining Axes Preconditioners through Kronecker Approximation for Deep Learning ✅ ❌ ✅ ✅ ✅ ❌ ✅ 5
Communication-Efficient Federated Non-Linear Bandit Optimization ✅ ❌ ✅ ❌ ❌ ❌ ✅ 3
Communication-Efficient Gradient Descent-Accent Methods for Distributed Variational Inequalities: Unified Analysis and Local Updates ✅ ✅ ✅ ❌ ❌ ❌ ✅ 4
CompA: Addressing the Gap in Compositional Reasoning in Audio-Language Models ✅ ✅ ✅ ❌ ❌ ❌ ✅ 4
Complete and Efficient Graph Transformers for Crystal Material Property Prediction ❌ ✅ ✅ ✅ ✅ ❌ ✅ 5
Complex priors and flexible inference in recurrent circuits with dendritic nonlinearities ❌ ✅ ✅ ❌ ❌ ❌ ✅ 3
Compose and Conquer: Diffusion-Based 3D Depth Aware Composable Image Synthesis ✅ ✅ ✅ ✅ ✅ ❌ ✅ 6
Composed Image Retrieval with Text Feedback via Multi-grained Uncertainty Regularization ❌ ✅ ✅ ❌ ❌ ❌ ✅ 3
Compositional Conservatism: A Transductive Approach in Offline Reinforcement Learning ✅ ✅ ✅ ❌ ❌ ❌ ✅ 4
Compositional Generative Inverse Design ✅ ✅ ❌ ❌ ✅ ❌ ✅ 4
Compositional Preference Models for Aligning LMs ❌ ✅ ✅ ✅ ✅ ✅ ✅ 6
Compressed Context Memory for Online Language Model Interaction ✅ ✅ ✅ ❌ ✅ ❌ ✅ 5
Compressing LLMs: The Truth is Rarely Pure and Never Simple ❌ ✅ ✅ ❌ ❌ ❌ ✅ 3
Compressing Latent Space via Least Volume ❌ ✅ ✅ ❌ ✅ ❌ ✅ 4
ConR: Contrastive Regularizer for Deep Imbalanced Regression ✅ ✅ ✅ ✅ ✅ ❌ ✅ 6
Concept Bottleneck Generative Models ❌ ✅ ✅ ❌ ✅ ❌ ❌ 3
Conditional Information Bottleneck Approach for Time Series Imputation ✅ ✅ ✅ ✅ ✅ ❌ ✅ 6
Conditional Instrumental Variable Regression with Representation Learning for Causal Inference ✅ ✅ ✅ ✅ ❌ ❌ ✅ 5
Conditional Variational Diffusion Models ✅ ✅ ✅ ❌ ❌ ❌ ✅ 4
Confidence-aware Reward Optimization for Fine-tuning Text-to-Image Models ✅ ❌ ✅ ❌ ❌ ❌ ✅ 3
Confidential-DPproof: Confidential Proof of Differentially Private Training ✅ ✅ ✅ ❌ ✅ ❌ ✅ 5
Conformal Inductive Graph Neural Networks ✅ ✅ ✅ ✅ ❌ ❌ ✅ 5
Conformal Language Modeling ✅ ✅ ✅ ✅ ✅ ❌ ✅ 6
Conformal Prediction via Regression-as-Classification ✅ ✅ ✅ ❌ ❌ ❌ ✅ 4
Conformal Risk Control ❌ ✅ ✅ ✅ ❌ ❌ ✅ 4
Confronting Reward Model Overoptimization with Constrained RLHF ✅ ✅ ✅ ✅ ✅ ❌ ✅ 6
ConjNorm: Tractable Density Estimation for Out-of-Distribution Detection ❌ ✅ ✅ ❌ ❌ ❌ ✅ 3
Connect, Collapse, Corrupt: Learning Cross-Modal Tasks with Uni-Modal Data ✅ ✅ ✅ ✅ ❌ ❌ ✅ 5
Connecting Large Language Models with Evolutionary Algorithms Yields Powerful Prompt Optimizers ✅ ✅ ✅ ✅ ❌ ❌ ✅ 5
Consciousness-Inspired Spatio-Temporal Abstractions for Better Generalization in Reinforcement Learning ✅ ✅ ✅ ❌ ❌ ❌ ✅ 4
Conserve-Update-Revise to Cure Generalization and Robustness Trade-off in Adversarial Training ✅ ✅ ✅ ❌ ❌ ❌ ✅ 4
Consistency Models as a Rich and Efficient Policy Class for Reinforcement Learning ✅ ✅ ✅ ❌ ❌ ❌ ✅ 4
Consistency Training with Learnable Data Augmentation for Graph Anomaly Detection with Limited Supervision ✅ ✅ ✅ ✅ ✅ ✅ ✅ 7
Consistency Trajectory Models: Learning Probability Flow ODE Trajectory of Diffusion ✅ ✅ ✅ ✅ ✅ ❌ ✅ 6
Consistency-guided Prompt Learning for Vision-Language Models ❌ ✅ ✅ ❌ ✅ ❌ ✅ 4
Consistent Multi-Class Classification from Multiple Unlabeled Datasets ✅ ❌ ✅ ❌ ✅ ❌ ✅ 4
Consistent Video-to-Video Transfer Using Synthetic Dataset ❌ ✅ ✅ ❌ ✅ ❌ ✅ 4
Consistent algorithms for multi-label classification with macro-at-$k$ metrics ✅ ✅ ✅ ✅ ✅ ❌ ✅ 6
Consistent4D: Consistent 360° Dynamic Object Generation from Monocular Video ❌ ❌ ✅ ❌ ✅ ❌ ✅ 3
Constrained Bi-Level Optimization: Proximal Lagrangian Value Function Approach and Hessian-free Algorithm ✅ ✅ ✅ ✅ ✅ ✅ ✅ 7
Constrained Decoding for Cross-lingual Label Projection ✅ ✅ ✅ ✅ ✅ ❌ ✅ 6
Constraint-Free Structure Learning with Smooth Acyclic Orientations ❌ ✅ ✅ ❌ ✅ ❌ ✅ 4
Constructing Adversarial Examples for Vertical Federated Learning: Optimal Client Corruption through Multi-Armed Bandit ✅ ❌ ✅ ❌ ✅ ❌ ✅ 4
Context is Environment ❌ ✅ ✅ ✅ ✅ ❌ ✅ 5
Context-Aware Meta-Learning ❌ ✅ ✅ ❌ ❌ ❌ ✅ 3
ContextRef: Evaluating Referenceless Metrics for Image Description Generation ❌ ✅ ✅ ❌ ❌ ❌ ✅ 3
Contextual Bandits with Online Neural Regression ✅ ❌ ✅ ❌ ❌ ❌ ✅ 3
Continual Learning in the Presence of Spurious Correlations: Analyses and a Simple Baseline ✅ ✅ ✅ ❌ ✅ ❌ ✅ 5
Continual Learning on a Diet: Learning from Sparsely Labeled Streams Under Constrained Computation ✅ ✅ ✅ ✅ ✅ ❌ ✅ 6
Continual Momentum Filtering on Parameter Space for Online Test-time Adaptation ✅ ✅ ✅ ❌ ❌ ❌ ✅ 4
Continuous Field Reconstruction from Sparse Observations with Implicit Neural Networks ❌ ✅ ✅ ❌ ✅ ❌ ✅ 4
Continuous Invariance Learning ✅ ❌ ✅ ✅ ✅ ❌ ✅ 5
Continuous-Multiple Image Outpainting in One-Step via Positional Query and A Diffusion-based Approach ✅ ✅ ✅ ✅ ✅ ❌ ✅ 6
Contrastive Difference Predictive Coding ✅ ✅ ✅ ❌ ❌ ❌ ✅ 4
Contrastive Learning is Spectral Clustering on Similarity Graph ✅ ✅ ✅ ✅ ✅ ✅ ✅ 7
Contrastive Preference Learning: Learning from Human Feedback without Reinforcement Learning ❌ ✅ ✅ ❌ ✅ ❌ ✅ 4
ControlVideo: Training-free Controllable Text-to-video Generation ✅ ✅ ✅ ❌ ✅ ❌ ✅ 5
Controlled Text Generation via Language Model Arithmetic ✅ ✅ ✅ ❌ ✅ ❌ ✅ 5
Controlling Vision-Language Models for Multi-Task Image Restoration ❌ ✅ ✅ ❌ ✅ ❌ ✅ 4
Convergence of Bayesian Bilevel Optimization ✅ ❌ ✅ ❌ ❌ ❌ ✅ 3
Conversational Drug Editing Using Retrieval and Domain Feedback ❌ ✅ ✅ ❌ ✅ ❌ ✅ 4
Convolution Meets LoRA: Parameter Efficient Finetuning for Segment Anything Model ❌ ✅ ✅ ✅ ✅ ❌ ✅ 5
Convolutional Deep Kernel Machines ❌ ✅ ✅ ❌ ✅ ❌ ✅ 4
Coordinate-Aware Modulation for Neural Fields ❌ ❌ ✅ ❌ ❌ ❌ ✅ 2
Copilot4D: Learning Unsupervised World Models for Autonomous Driving via Discrete Diffusion ✅ ❌ ✅ ✅ ❌ ❌ ✅ 4
Copula Conformal prediction for multi-step time series prediction ✅ ✅ ✅ ✅ ✅ ❌ ✅ 6
Correlated Noise Provably Beats Independent Noise for Differentially Private Learning ✅ ❌ ✅ ❌ ❌ ❌ ✅ 3
Counterfactual Density Estimation using Kernel Stein Discrepancies ✅ ✅ ✅ ✅ ❌ ❌ ✅ 5
Counting Graph Substructures with Graph Neural Networks ❌ ✅ ✅ ✅ ✅ ❌ ✅ 5
Course Correcting Koopman Representations ❌ ❌ ✅ ✅ ❌ ❌ ✅ 3
CrIBo: Self-Supervised Learning via Cross-Image Object-Level Bootstrapping ❌ ✅ ✅ ✅ ✅ ❌ ✅ 5
Critical Learning Periods Emerge Even in Deep Linear Networks ❌ ✅ ❌ ❌ ✅ ❌ ✅ 3
Cross-Modal Contextualized Diffusion Models for Text-Guided Visual Generation and Editing ❌ ✅ ✅ ✅ ❌ ❌ ✅ 4
CrossLoco: Human Motion Driven Control of Legged Robots via Guided Unsupervised Reinforcement Learning ✅ ❌ ✅ ❌ ✅ ❌ ✅ 4
CrossQ: Batch Normalization in Deep Reinforcement Learning for Greater Sample Efficiency and Simplicity ✅ ✅ ✅ ❌ ✅ ❌ ✅ 5
Crystalformer: Infinitely Connected Attention for Periodic Structure Encoding ❌ ✅ ✅ ✅ ✅ ❌ ✅ 5
Curiosity-driven Red-teaming for Large Language Models ❌ ✅ ✅ ❌ ❌ ✅ ✅ 4
Curriculum reinforcement learning for quantum architecture search under hardware errors ✅ ✅ ✅ ❌ ✅ ✅ ✅ 6
Customizable Combination of Parameter-Efficient Modules for Multi-Task Learning ❌ ❌ ✅ ✅ ✅ ❌ ✅ 4
Cycle Consistency Driven Object Discovery ❌ ❌ ✅ ✅ ✅ ❌ ✅ 4
DAFA: Distance-Aware Fair Adversarial Training ✅ ✅ ✅ ❌ ✅ ✅ ✅ 6
DAM: Towards a Foundation Model for Forecasting ✅ ✅ ✅ ✅ ✅ ❌ ✅ 6
DATS: Difficulty-Aware Task Sampler for Meta-Learning Physics-Informed Neural Networks ❌ ✅ ❌ ✅ ✅ ❌ ✅ 4
DDMI: Domain-agnostic Latent Diffusion Models for Synthesizing High-Quality Implicit Neural Representations ❌ ✅ ✅ ❌ ✅ ❌ ✅ 4
DEEP NEURAL NETWORK INITIALIZATION WITH SPARSITY INDUCING ACTIVATIONS ❌ ❌ ✅ ✅ ✅ ❌ ✅ 4
DENEVIL: TOWARDS DECIPHERING AND NAVIGATING THE ETHICAL VALUES OF LARGE LANGUAGE MODELS VIA INSTRUCTION LEARNING ✅ ✅ ✅ ✅ ✅ ❌ ✅ 6
DFormer: Rethinking RGBD Representation Learning for Semantic Segmentation ❌ ✅ ✅ ✅ ✅ ❌ ✅ 5
DIAGNOSIS: Detecting Unauthorized Data Usages in Text-to-image Diffusion Models ✅ ✅ ✅ ✅ ✅ ✅ ✅ 7
DIFFTACTILE: A Physics-based Differentiable Tactile Simulator for Contact-rich Robotic Manipulation ❌ ✅ ✅ ✅ ✅ ❌ ✅ 5
DMBP: Diffusion model-based predictor for robust offline reinforcement learning against state observation perturbations ✅ ✅ ✅ ❌ ✅ ❌ ✅ 5
DMV3D: Denoising Multi-view Diffusion Using 3D Large Reconstruction Model ❌ ❌ ✅ ❌ ✅ ❌ ✅ 3
DNA-GPT: Divergent N-Gram Analysis for Training-Free Detection of GPT-Generated Text ❌ ✅ ✅ ❌ ❌ ❌ ✅ 3
DNABERT-2: Efficient Foundation Model and Benchmark For Multi-Species Genomes ❌ ✅ ✅ ✅ ✅ ❌ ✅ 5
DORSal: Diffusion for Object-centric Representations of Scenes $\textit{et al.}$ ❌ ❌ ✅ ❌ ✅ ❌ ✅ 3
DOS: Diverse Outlier Sampling for Out-of-Distribution Detection ✅ ✅ ✅ ❌ ✅ ❌ ✅ 5
DP-OPT: Make Large Language Model Your Privacy-Preserving Prompt Engineer ✅ ✅ ✅ ✅ ❌ ❌ ✅ 5
DP-SGD Without Clipping: The Lipschitz Neural Network Way ✅ ✅ ✅ ✅ ✅ ✅ ✅ 7
DQ-LoRe: Dual Queries with Low Rank Approximation Re-ranking for In-Context Learning ❌ ✅ ✅ ❌ ✅ ❌ ✅ 4
DREAM: Dual Structured Exploration with Mixup for Open-set Graph Domain Adaption ✅ ❌ ✅ ❌ ❌ ❌ ✅ 3
DRSM: De-Randomized Smoothing on Malware Classifier Providing Certified Robustness ❌ ✅ ✅ ✅ ✅ ❌ ✅ 5
DSPy: Compiling Declarative Language Model Calls into State-of-the-Art Pipelines ✅ ✅ ✅ ✅ ✅ ✅ ✅ 7
DV-3DLane: End-to-end Multi-modal 3D Lane Detection with Dual-view Representation ✅ ✅ ✅ ❌ ✅ ❌ ✅ 5
Data Debugging with Shapley Importance over Machine Learning Pipelines ✅ ✅ ✅ ✅ ✅ ❌ ✅ 6
Data Distillation Can Be Like Vodka: Distilling More Times For Better Quality ✅ ✅ ✅ ❌ ❌ ❌ ✅ 4
Data Filtering Networks ✅ ❌ ✅ ✅ ✅ ❌ ✅ 5
Data-independent Module-aware Pruning for Hierarchical Vision Transformers ❌ ✅ ✅ ✅ ❌ ❌ ✅ 4
DataInf: Efficiently Estimating Data Influence in LoRA-tuned LLMs and Diffusion Models ✅ ✅ ✅ ✅ ✅ ❌ ✅ 6
Davidsonian Scene Graph: Improving Reliability in Fine-grained Evaluation for Text-to-Image Generation ✅ ❌ ✅ ❌ ❌ ❌ ❌ 2
De novo Protein Design Using Geometric Vector Field Networks ✅ ✅ ✅ ✅ ✅ ❌ ✅ 6
DePT: Decomposed Prompt Tuning for Parameter-Efficient Fine-tuning ❌ ✅ ✅ ✅ ✅ ❌ ✅ 5
Debiased Collaborative Filtering with Kernel-Based Causal Balancing ✅ ✅ ✅ ❌ ❌ ❌ ✅ 4
Debiasing Algorithm through Model Adaptation ❌ ✅ ✅ ❌ ❌ ❌ ✅ 3
Debiasing Attention Mechanism in Transformer without Demographics ✅ ✅ ✅ ❌ ✅ ❌ ✅ 5
Decentralized Riemannian Conjugate Gradient Method on the Stiefel Manifold ✅ ❌ ✅ ❌ ✅ ❌ ✅ 4
Deceptive Fairness Attacks on Graphs via Meta Learning ✅ ✅ ✅ ✅ ✅ ✅ ✅ 7
Decision ConvFormer: Local Filtering in MetaFormer is Sufficient for Decision Making ❌ ✅ ✅ ❌ ✅ ❌ ✅ 4
Decodable and Sample Invariant Continuous Object Encoder ✅ ❌ ✅ ❌ ❌ ❌ ✅ 3
Decoding Natural Images from EEG for Object Recognition ✅ ✅ ✅ ✅ ✅ ❌ ✅ 6
DecompOpt: Controllable and Decomposed Diffusion Models for Structure-based Molecular Optimization ✅ ❌ ✅ ❌ ✅ ❌ ✅ 4
Decomposed Diffusion Sampler for Accelerating Large-Scale Inverse Problems ✅ ✅ ✅ ❌ ✅ ❌ ✅ 5
Decongestion by Representation: Learning to Improve Economic Welfare in Marketplaces ❌ ✅ ✅ ✅ ✅ ✅ ✅ 6
Decoupled Marked Temporal Point Process using Neural Ordinary Differential Equations ❌ ❌ ✅ ❌ ✅ ❌ ✅ 3
Decoupling Weighing and Selecting for Integrating Multiple Graph Pre-training Tasks ✅ ✅ ✅ ✅ ✅ ❌ ✅ 6
Decoupling regularization from the action space ✅ ✅ ✅ ❌ ❌ ❌ ✅ 4
Deep Confident Steps to New Pockets: Strategies for Docking Generalization ❌ ✅ ✅ ✅ ✅ ❌ ✅ 5
Deep Generative Clustering with Multimodal Diffusion Variational Autoencoders ✅ ✅ ✅ ✅ ❌ ❌ ✅ 5
Deep Geodesic Canonical Correlation Analysis for Covariance-Based Neuroimaging Data ❌ ❌ ✅ ✅ ✅ ✅ ✅ 5
Deep Neural Networks Tend To Extrapolate Predictably ❌ ✅ ✅ ❌ ❌ ❌ ✅ 3
Deep Orthogonal Hypersphere Compression for Anomaly Detection ✅ ✅ ✅ ✅ ❌ ✅ ✅ 6
Deep Reinforcement Learning Guided Improvement Heuristic for Job Shop Scheduling ✅ ✅ ✅ ✅ ✅ ❌ ✅ 6
Deep Reinforcement Learning for Modelling Protein Complexes ✅ ❌ ✅ ✅ ✅ ❌ ✅ 5
Deep SE(3)-Equivariant Geometric Reasoning for Precise Placement Tasks ✅ ✅ ✅ ❌ ❌ ❌ ✅ 4
Deep Temporal Graph Clustering ❌ ✅ ✅ ❌ ✅ ❌ ✅ 4
DeepSPF: Spherical SO(3)-Equivariant Patches for Scan-to-CAD Estimation ❌ ❌ ✅ ❌ ✅ ❌ ✅ 3
DeepZero: Scaling Up Zeroth-Order Optimization for Deep Model Training ✅ ✅ ✅ ❌ ✅ ❌ ✅ 5
Defining Expertise: Applications to Treatment Effect Estimation ❌ ✅ ✅ ✅ ✅ ❌ ✅ 5
Defining and extracting generalizable interaction primitives from DNNs ❌ ✅ ✅ ❌ ❌ ❌ ✅ 3
Delphic Offline Reinforcement Learning under Nonidentifiable Hidden Confounding ✅ ✅ ✅ ✅ ✅ ❌ ✅ 6
Delta-AI: Local objectives for amortized inference in sparse graphical models ✅ ✅ ✅ ❌ ❌ ❌ ✅ 4
Democratizing Fine-grained Visual Recognition with Large Language Models ❌ ✅ ✅ ❌ ❌ ❌ ✅ 3
Demonstration-Regularized RL ✅ ❌ ❌ ❌ ❌ ❌ ❌ 1
Demystifying CLIP Data ✅ ✅ ✅ ❌ ✅ ❌ ✅ 5
Demystifying Embedding Spaces using Large Language Models ❌ ❌ ✅ ❌ ❌ ❌ ✅ 2
Demystifying Linear MDPs and Novel Dynamics Aggregation Framework ✅ ❌ ❌ ❌ ❌ ❌ ❌ 1
Demystifying Local & Global Fairness Trade-offs in Federated Learning Using Partial Information Decomposition ❌ ✅ ✅ ❌ ❌ ❌ ✅ 3
Demystifying Poisoning Backdoor Attacks from a Statistical Perspective ❌ ✅ ✅ ✅ ❌ ❌ ✅ 4
Denoising Diffusion Bridge Models ✅ ❌ ✅ ❌ ❌ ❌ ✅ 3
Denoising Diffusion Step-aware Models ✅ ✅ ✅ ❌ ✅ ❌ ✅ 5
Denoising Diffusion via Image-Based Rendering ❌ ✅ ✅ ✅ ❌ ❌ ✅ 4
Denoising Task Routing for Diffusion Models ✅ ✅ ✅ ✅ ✅ ❌ ✅ 6
Depthwise Hyperparameter Transfer in Residual Networks: Dynamics and Scaling Limit ❌ ❌ ✅ ❌ ❌ ❌ ✅ 2
Designing Skill-Compatible AI: Methodologies and Frameworks in Chess ❌ ✅ ❌ ✅ ✅ ✅ ✅ 5
Det-CGD: Compressed Gradient Descent with Matrix Stepsizes for Non-Convex Optimization ✅ ❌ ✅ ❌ ❌ ❌ ✅ 3
Detecting Machine-Generated Texts by Multi-Population Aware Optimization for Maximum Mean Discrepancy ✅ ✅ ✅ ❌ ✅ ✅ ✅ 6
Detecting Pretraining Data from Large Language Models ✅ ❌ ✅ ✅ ❌ ❌ ✅ 4
Detecting, Explaining, and Mitigating Memorization in Diffusion Models ❌ ✅ ✅ ❌ ✅ ❌ ✅ 4
DiLu: A Knowledge-Driven Approach to Autonomous Driving with Large Language Models ❌ ✅ ✅ ❌ ❌ ✅ ✅ 4
Diagnosing Transformers: Illuminating Feature Spaces for Clinical Decision-Making ❌ ✅ ✅ ✅ ✅ ❌ ✅ 5
Dichotomy of Early and Late Phase Implicit Biases Can Provably Induce Grokking ❌ ✅ ❌ ❌ ❌ ❌ ✅ 2
Dictionary Contrastive Learning for Efficient Local Supervision without Auxiliary Networks ❌ ❌ ✅ ❌ ❌ ❌ ✅ 2
DiffAR: Denoising Diffusion Autoregressive Model for Raw Speech Waveform Generation ❌ ✅ ✅ ✅ ✅ ❌ ✅ 5
DiffEnc: Variational Diffusion with a Learned Encoder ❌ ✅ ✅ ❌ ❌ ❌ ✅ 3
Diffeomorphic Mesh Deformation via Efficient Optimal Transport for Cortical Surface Reconstruction ✅ ❌ ✅ ✅ ✅ ❌ ✅ 5
Differentiable Euler Characteristic Transforms for Shape Classification ❌ ✅ ✅ ✅ ✅ ❌ ✅ 5
Differentiable Learning of Generalized Structured Matrices for Efficient Deep Neural Networks ✅ ✅ ✅ ✅ ✅ ❌ ✅ 6
Differentially Private SGD Without Clipping Bias: An Error-Feedback Approach ✅ ❌ ✅ ❌ ✅ ❌ ✅ 4
Differentially Private Synthetic Data via Foundation Model APIs 1: Images ✅ ✅ ✅ ❌ ✅ ❌ ✅ 5
Diffusion Generative Flow Samplers: Improving learning signals through partial trajectory optimization ✅ ✅ ✅ ❌ ❌ ❌ ✅ 4
Diffusion Model for Dense Matching ❌ ✅ ✅ ❌ ✅ ❌ ✅ 4
Diffusion Models for Multi-Task Generative Modeling ✅ ❌ ✅ ✅ ✅ ❌ ✅ 5
Diffusion Posterior Sampling for Linear Inverse Problem Solving: A Filtering Perspective ✅ ❌ ✅ ✅ ✅ ❌ ✅ 5
Diffusion Sampling with Momentum for Mitigating Divergence Artifacts ✅ ❌ ✅ ❌ ✅ ❌ ✅ 4
Diffusion in Diffusion: Cyclic One-Way Diffusion for Text-Vision-Conditioned Generation ✅ ❌ ✅ ❌ ✅ ❌ ✅ 4
Diffusion-TS: Interpretable Diffusion for General Time Series Generation ✅ ✅ ✅ ❌ ✅ ❌ ✅ 5
DiffusionNAG: Predictor-guided Neural Architecture Generation with Diffusion Models ✅ ✅ ✅ ✅ ✅ ❌ ✅ 6
DiffusionSat: A Generative Foundation Model for Satellite Imagery ❌ ✅ ✅ ✅ ✅ ❌ ✅ 5
Directly Fine-Tuning Diffusion Models on Differentiable Rewards ✅ ❌ ✅ ✅ ✅ ❌ ✅ 5
Dirichlet-based Per-Sample Weighting by Transition Matrix for Noisy Label Learning ✅ ✅ ✅ ❌ ❌ ❌ ✅ 4
Discovering Failure Modes of Text-guided Diffusion Models via Adversarial Search ✅ ✅ ✅ ❌ ✅ ❌ ✅ 5
Discovering Temporally-Aware Reinforcement Learning Algorithms ❌ ✅ ✅ ❌ ✅ ❌ ✅ 4
Discovering modular solutions that generalize compositionally ✅ ✅ ❌ ❌ ✅ ✅ ✅ 5
DisenBooth: Identity-Preserving Disentangled Tuning for Subject-Driven Text-to-Image Generation ❌ ✅ ✅ ❌ ✅ ❌ ✅ 4
Disentangling Time Series Representations via Contrastive Independence-of-Support on l-Variational Inference ✅ ✅ ✅ ❌ ✅ ❌ ✅ 5
Dissecting Sample Hardness: A Fine-Grained Analysis of Hardness Characterization Methods for Data-Centric AI ❌ ✅ ✅ ❌ ✅ ❌ ✅ 4
Dissecting learning and forgetting in language model finetuning ❌ ✅ ✅ ✅ ✅ ❌ ✅ 5
DistillSpec: Improving Speculative Decoding via Knowledge Distillation ✅ ❌ ✅ ❌ ✅ ❌ ✅ 4
Distinguished In Uniform: Self-Attention Vs. Virtual Nodes ❌ ✅ ✅ ✅ ❌ ❌ ✅ 4
Distributional Preference Learning: Understanding and Accounting for Hidden Context in RLHF ❌ ✅ ✅ ❌ ❌ ❌ ✅ 3
Distributionally Robust Optimization with Bias and Variance Reduction ✅ ✅ ✅ ✅ ✅ ❌ ✅ 6
DittoGym: Learning to Control Soft Shape-Shifting Robots ❌ ✅ ✅ ❌ ✅ ❌ ✅ 4
Diverse Projection Ensembles for Distributional Reinforcement Learning ✅ ✅ ✅ ❌ ✅ ❌ ✅ 5
Divide and not forget: Ensemble of selectively trained experts in Continual Learning ❌ ✅ ✅ ✅ ✅ ❌ ✅ 5
Diving Segmentation Model into Pixels ❌ ❌ ✅ ✅ ✅ ❌ ✅ 4
Do Generated Data Always Help Contrastive Learning? ❌ ✅ ✅ ❌ ✅ ❌ ✅ 4
DoLa: Decoding by Contrasting Layers Improves Factuality in Large Language Models ❌ ✅ ✅ ✅ ✅ ❌ ✅ 5
Does CLIP’s generalization performance mainly stem from high train-test similarity? ❌ ✅ ✅ ❌ ✅ ❌ ✅ 4
Does Progress On Object Recognition Benchmarks Improve Generalization on Crowdsourced, Global Data? ❌ ✅ ✅ ❌ ❌ ❌ ✅ 3
Does Writing with Language Models Reduce Content Diversity? ❌ ✅ ✅ ❌ ❌ ❌ ✅ 3
Domain Randomization via Entropy Maximization ✅ ✅ ✅ ❌ ❌ ❌ ✅ 4
Domain constraints improve risk prediction when outcome data is missing ❌ ✅ ✅ ❌ ❌ ❌ ❌ 2
Domain-Agnostic Molecular Generation with Chemical Feedback ❌ ✅ ✅ ✅ ✅ ❌ ✅ 5
Domain-Inspired Sharpness-Aware Minimization Under Domain Shifts ✅ ✅ ✅ ✅ ✅ ✅ ✅ 7
Don't Judge by the Look: Towards Motion Coherent Video Representation ❌ ✅ ✅ ✅ ✅ ❌ ✅ 5
Don't Play Favorites: Minority Guidance for Diffusion Models ❌ ✅ ✅ ❌ ✅ ❌ ✅ 4
Don't Trust: Verify -- Grounding LLM Quantitative Reasoning with Autoformalization ❌ ✅ ✅ ❌ ❌ ❌ ✅ 3
Doubly Robust Instance-Reweighted Adversarial Training ✅ ✅ ✅ ✅ ✅ ✅ ✅ 7
Doubly Robust Proximal Causal Learning for Continuous Treatments ❌ ✅ ✅ ❌ ❌ ❌ ✅ 3
DrM: Mastering Visual Reinforcement Learning through Dormant Ratio Minimization ✅ ❌ ✅ ❌ ✅ ❌ ✅ 4
DrS: Learning Reusable Dense Rewards for Multi-Stage Tasks ✅ ❌ ✅ ❌ ❌ ❌ ✅ 3
DragonDiffusion: Enabling Drag-style Manipulation on Diffusion Models ❌ ✅ ✅ ❌ ✅ ❌ ✅ 4
DreamClean: Restoring Clean Image Using Deep Diffusion Prior ✅ ❌ ✅ ✅ ❌ ❌ ✅ 4
DreamCraft3D: Hierarchical 3D Generation with Bootstrapped Diffusion Prior ✅ ✅ ❌ ❌ ✅ ❌ ✅ 4
DreamFlow: High-quality text-to-3D generation by Approximating Probability Flow ✅ ❌ ✅ ❌ ✅ ❌ ✅ 4
DreamGaussian: Generative Gaussian Splatting for Efficient 3D Content Creation ❌ ❌ ✅ ❌ ✅ ❌ ✅ 3
DreamLLM: Synergistic Multimodal Comprehension and Creation ❌ ✅ ✅ ✅ ✅ ❌ ✅ 5
DreamSmooth: Improving Model-based Reinforcement Learning via Reward Smoothing ✅ ❌ ✅ ❌ ✅ ❌ ✅ 4
DreamTime: An Improved Optimization Strategy for Diffusion-Guided 3D Generation ✅ ✅ ✅ ❌ ✅ ❌ ✅ 5
Dropout Enhanced Bilevel Training ✅ ❌ ✅ ✅ ✅ ❌ ✅ 5
Dropout-Based Rashomon Set Exploration for Efficient Predictive Multiplicity Estimation ❌ ✅ ✅ ❌ ❌ ❌ ✅ 3
Dual Associated Encoder for Face Restoration ❌ ✅ ✅ ✅ ✅ ❌ ✅ 5
Dual RL: Unification and New Methods for Reinforcement and Imitation Learning ✅ ✅ ✅ ❌ ✅ ❌ ✅ 5
Dual-Encoders for Extreme Multi-label Classification ✅ ❌ ✅ ✅ ✅ ❌ ✅ 5
Duolando: Follower GPT with Off-Policy Reinforcement Learning for Dance Accompaniment ✅ ❌ ❌ ❌ ✅ ❌ ✅ 3
DyST: Towards Dynamic Neural Scene Representations on Real-World Videos ❌ ❌ ✅ ✅ ❌ ❌ ✅ 3
DyVal: Dynamic Evaluation of Large Language Models for Reasoning Tasks ❌ ✅ ✅ ❌ ✅ ❌ ✅ 4
DynaVol: Unsupervised Learning for Dynamic Scenes through Object-Centric Voxelization ✅ ❌ ✅ ❌ ✅ ❌ ✅ 4
Dynamic Discounted Counterfactual Regret Minimization ✅ ✅ ✅ ❌ ✅ ❌ ✅ 5
Dynamic Layer Tying for Parameter-Efficient Transformers ✅ ❌ ✅ ✅ ✅ ❌ ✅ 5
Dynamic Neighborhood Construction for Structured Large Discrete Action Spaces ✅ ✅ ✅ ❌ ✅ ❌ ✅ 5
Dynamic Neural Response Tuning ❌ ✅ ✅ ✅ ✅ ❌ ✅ 5
Dynamic Sparse No Training: Training-Free Fine-tuning for Sparse LLMs ✅ ✅ ✅ ✅ ✅ ❌ ✅ 6
Dynamic Sparse Training with Structured Sparsity ✅ ✅ ✅ ❌ ✅ ❌ ✅ 5
Dynamics-Informed Protein Design with Structure Conditioning ❌ ✅ ✅ ✅ ✅ ❌ ✅ 5
EBMDock: Neural Probabilistic Protein-Protein Docking via a Differentiable Energy Model ❌ ✅ ✅ ✅ ✅ ❌ ✅ 5
ECoFLaP: Efficient Coarse-to-Fine Layer-Wise Pruning for Vision-Language Models ✅ ✅ ✅ ✅ ✅ ❌ ✅ 6
EControl: Fast Distributed Optimization with Compression and Error Control ✅ ✅ ✅ ❌ ❌ ❌ ✅ 4
ED-NeRF: Efficient Text-Guided Editing of 3D Scene With Latent Space NeRF ❌ ✅ ✅ ❌ ✅ ❌ ✅ 4
EMO: EARTH MOVER DISTANCE OPTIMIZATION FOR AUTO-REGRESSIVE LANGUAGE MODELING ❌ ✅ ✅ ✅ ❌ ❌ ✅ 4
EQA-MX: Embodied Question Answering using Multimodal Expression ❌ ✅ ✅ ✅ ✅ ✅ ✅ 6
EX-Graph: A Pioneering Dataset Bridging Ethereum and X ❌ ✅ ✅ ✅ ✅ ✅ ✅ 6
Early Neuron Alignment in Two-layer ReLU Networks with Small Initialization ❌ ❌ ✅ ❌ ❌ ❌ ✅ 2
Early Stopping Against Label Noise Without Validation Data ✅ ❌ ✅ ✅ ❌ ✅ ✅ 5
EasyTPP: Towards Open Benchmarking Temporal Point Processes ✅ ✅ ✅ ✅ ✅ ❌ ✅ 6
Effective Data Augmentation With Diffusion Models ❌ ✅ ✅ ✅ ✅ ❌ ✅ 5
Effective Structural Encodings via Local Curvature Profiles ❌ ✅ ✅ ✅ ✅ ❌ ✅ 5
Effective and Efficient Federated Tree Learning on Hybrid Data ✅ ❌ ✅ ❌ ✅ ❌ ✅ 4
Effective pruning of web-scale datasets based on complexity of concept clusters ✅ ✅ ✅ ✅ ❌ ✅ ✅ 6
Efficient Backdoor Attacks for Deep Neural Networks in Real-world Scenarios ❌ ❌ ✅ ❌ ✅ ❌ ✅ 3
Efficient Backpropagation with Variance Controlled Adaptive Sampling ✅ ✅ ✅ ✅ ✅ ❌ ✅ 6
Efficient Continual Finite-Sum Minimization ✅ ✅ ✅ ❌ ❌ ❌ ✅ 4
Efficient ConvBN Blocks for Transfer Learning and Beyond ✅ ✅ ✅ ❌ ✅ ✅ ✅ 6
Efficient Dynamics Modeling in Interactive Environments with Koopman Theory ✅ ✅ ✅ ❌ ✅ ❌ ✅ 5
Efficient Episodic Memory Utilization of Cooperative Multi-Agent Reinforcement Learning ✅ ✅ ✅ ❌ ✅ ❌ ✅ 5
Efficient Heterogeneous Meta-Learning via Channel Shuffling Modulation ❌ ❌ ✅ ✅ ❌ ❌ ✅ 3
Efficient Integrators for Diffusion Generative Models ✅ ✅ ✅ ❌ ✅ ✅ ✅ 6
Efficient Inverse Multiagent Learning ✅ ✅ ✅ ✅ ❌ ❌ ❌ 4
Efficient Modulation for Vision Networks ❌ ✅ ✅ ✅ ✅ ❌ ✅ 5
Efficient Multi-agent Reinforcement Learning by Planning ❌ ✅ ✅ ❌ ❌ ❌ ✅ 3
Efficient Planning with Latent Diffusion ✅ ✅ ✅ ❌ ✅ ❌ ✅ 5
Efficient Score Matching with Deep Equilibrium Layers ✅ ✅ ✅ ✅ ❌ ❌ ✅ 5
Efficient Sharpness-Aware Minimization for Molecular Graph Transformer Models ✅ ✅ ✅ ✅ ✅ ❌ ✅ 6
Efficient Streaming Language Models with Attention Sinks ❌ ✅ ✅ ❌ ✅ ❌ ✅ 4
Efficient Subgraph GNNs by Learning Effective Selection Policies ✅ ✅ ✅ ✅ ✅ ❌ ✅ 6
Efficient Video Diffusion Models via Content-Frame Motion-Latent Decomposition ✅ ❌ ✅ ✅ ✅ ❌ ✅ 5
Efficient and Scalable Graph Generation through Iterative Local Expansion ✅ ✅ ✅ ✅ ✅ ❌ ✅ 6
Efficient local linearity regularization to overcome catastrophic overfitting ✅ ✅ ✅ ✅ ✅ ❌ ✅ 6
Efficient-3Dim: Learning a Generalizable Single-image Novel-view Synthesizer in One Day ❌ ❌ ✅ ✅ ✅ ✅ ✅ 5
EfficientDM: Efficient Quantization-Aware Fine-Tuning of Low-Bit Diffusion Models ❌ ✅ ✅ ❌ ✅ ❌ ✅ 4
Efficiently Computing Similarities to Private Datasets ✅ ❌ ✅ ❌ ✅ ❌ ✅ 4
Elastic Feature Consolidation For Cold Start Exemplar-Free Incremental Learning ✅ ✅ ✅ ❌ ❌ ❌ ✅ 4
Elucidating the Exposure Bias in Diffusion Models ✅ ✅ ✅ ❌ ❌ ❌ ✅ 4
Elucidating the design space of classifier-guided diffusion generation ✅ ✅ ✅ ❌ ✅ ❌ ❌ 4
Embarrassingly Simple Dataset Distillation ✅ ✅ ✅ ✅ ✅ ❌ ✅ 6
Embodied Active Defense: Leveraging Recurrent Feedback to Counter Adversarial Patches ✅ ❌ ✅ ❌ ✅ ✅ ✅ 5
EmerDiff: Emerging Pixel-level Semantic Knowledge in Diffusion Models ❌ ❌ ✅ ❌ ❌ ❌ ✅ 2
EmerNeRF: Emergent Spatial-Temporal Scene Decomposition via Self-Supervision ❌ ✅ ✅ ❌ ✅ ❌ ✅ 4
Emergent Communication with Conversational Repair ❌ ✅ ✅ ✅ ❌ ❌ ✅ 4
Emergent mechanisms for long timescales depend on training curriculum and affect performance in memory tasks ❌ ✅ ❌ ❌ ✅ ❌ ✅ 3
Empirical Analysis of Model Selection for Heterogeneous Causal Effect Estimation ❌ ✅ ✅ ✅ ❌ ❌ ✅ 4
Empirical Likelihood for Fair Classification ❌ ❌ ✅ ❌ ❌ ❌ ✅ 2
Emu: Generative Pretraining in Multimodality ❌ ✅ ✅ ✅ ✅ ❌ ✅ 5
Enabling Efficient Equivariant Operations in the Fourier Basis via Gaunt Tensor Products ❌ ✅ ✅ ✅ ✅ ❌ ✅ 5
Enabling Lanuguage Models to Implicitly Learn Self-Improvement ✅ ❌ ✅ ✅ ✅ ❌ ✅ 5
Encoding Unitig-level Assembly Graphs with Heterophilous Constraints for Metagenomic Contigs Binning ✅ ✅ ✅ ❌ ✅ ✅ ✅ 6
End-to-End (Instance)-Image Goal Navigation through Correspondence as an Emergent Phenomenon ❌ ❌ ✅ ✅ ✅ ❌ ✅ 4
Energy-Based Concept Bottleneck Models: Unifying Prediction, Concept Intervention, and Probabilistic Interpretations ✅ ✅ ✅ ✅ ✅ ❌ ✅ 6
Energy-based Automated Model Evaluation ✅ ✅ ✅ ✅ ❌ ❌ ❌ 4
Energy-conserving equivariant GNN for elasticity of lattice architected metamaterials ❌ ✅ ✅ ✅ ✅ ❌ ✅ 5
Energy-guided Entropic Neural Optimal Transport ✅ ✅ ✅ ❌ ✅ ❌ ✅ 5
Enhanced Face Recognition using Intra-class Incoherence Constraint ❌ ❌ ✅ ❌ ❌ ❌ ✅ 2
Enhancing Contrastive Learning for Ordinal Regression via Ordinal Content Preserved Data Augmentation ❌ ❌ ✅ ✅ ✅ ❌ ✅ 4
Enhancing Group Fairness in Online Settings Using Oblique Decision Forests ✅ ✅ ✅ ❌ ❌ ❌ ✅ 4
Enhancing High-Resolution 3D Generation through Pixel-wise Gradient Clipping ❌ ✅ ✅ ❌ ✅ ❌ ✅ 4
Enhancing Human Experience in Human-Agent Collaboration: A Human-Centered Modeling Approach Based on Positive Human Gain ✅ ✅ ❌ ❌ ✅ ❌ ✅ 4
Enhancing Human-AI Collaboration Through Logic-Guided Reasoning ✅ ❌ ✅ ❌ ❌ ❌ ❌ 2
Enhancing Instance-Level Image Classification with Set-Level Labels ✅ ❌ ✅ ❌ ❌ ❌ ✅ 3
Enhancing Neural Subset Selection: Integrating Background Information into Set Representations ❌ ❌ ✅ ✅ ✅ ❌ ✅ 4
Enhancing Neural Training via a Correlated Dynamics Model ✅ ✅ ✅ ✅ ❌ ❌ ✅ 5
Enhancing One-Shot Federated Learning Through Data and Ensemble Co-Boosting ✅ ✅ ✅ ✅ ❌ ❌ ✅ 5
Enhancing Small Medical Learners with Privacy-preserving Contextual Prompting ❌ ✅ ✅ ✅ ✅ ❌ ✅ 5
Enhancing Tail Performance in Extreme Classifiers by Label Variance Reduction ❌ ✅ ✅ ✅ ✅ ❌ ✅ 5
Enhancing Transfer Learning with Flexible Nonparametric Posterior Sampling ✅ ❌ ✅ ✅ ✅ ❌ ✅ 5
Enhancing Transferable Adversarial Attacks on Vision Transformers through Gradient Normalization Scaling and High-Frequency Adaptation ✅ ✅ ✅ ❌ ❌ ❌ ✅ 4
Ensemble Distillation for Unsupervised Constituency Parsing ✅ ✅ ✅ ✅ ✅ ❌ ❌ 5
Entity-Centric Reinforcement Learning for Object Manipulation from Pixels ❌ ✅ ❌ ❌ ❌ ❌ ✅ 2
Entropy Coding of Unordered Data Structures ✅ ✅ ✅ ❌ ✅ ❌ ❌ 4
Entropy is not Enough for Test-Time Adaptation: From the Perspective of Disentangled Factors ✅ ❌ ✅ ✅ ✅ ❌ ✅ 5
Entropy-MCMC: Sampling from Flat Basins with Ease ✅ ✅ ✅ ❌ ❌ ❌ ✅ 4
Epitopological learning and Cannistraci-Hebb network shape intelligence brain-inspired theory for ultra-sparse advantage in deep learning ✅ ✅ ✅ ❌ ❌ ❌ ✅ 4
EquiformerV2: Improved Equivariant Transformer for Scaling to Higher-Degree Representations ❌ ✅ ✅ ✅ ✅ ❌ ✅ 5
Equivariant Matrix Function Neural Networks ❌ ❌ ✅ ✅ ✅ ❌ ✅ 4
Equivariant Scalar Fields for Molecular Docking with Fast Fourier Transforms ✅ ✅ ✅ ✅ ✅ ❌ ✅ 6
Error Feedback Reloaded: From Quadratic to Arithmetic Mean of Smoothness Constants ✅ ❌ ✅ ✅ ✅ ❌ ✅ 5
Error Norm Truncation: Robust Training in the Presence of Data Noise for Text Generation Models ✅ ❌ ✅ ❌ ❌ ❌ ✅ 3
Escape Sky-high Cost: Early-stopping Self-Consistency for Multi-step Reasoning ✅ ✅ ✅ ❌ ❌ ❌ ✅ 4
Estimating Conditional Mutual Information for Dynamic Feature Selection ✅ ✅ ✅ ✅ ✅ ❌ ✅ 6
Estimating Shape Distances on Neural Representations with Limited Samples ❌ ✅ ✅ ❌ ❌ ❌ ❌ 2
Eureka: Human-Level Reward Design via Coding Large Language Models ✅ ❌ ✅ ❌ ✅ ❌ ✅ 4
Evaluating Language Model Agency Through Negotiations ❌ ✅ ✅ ❌ ❌ ❌ ✅ 3
Evaluating Large Language Models at Evaluating Instruction Following ❌ ✅ ✅ ❌ ❌ ❌ ✅ 3
Evaluating Representation Learning on the Protein Structure Universe ❌ ✅ ✅ ✅ ✅ ❌ ✅ 5
Evaluating the Zero-shot Robustness of Instruction-tuned Language Models ❌ ✅ ✅ ❌ ✅ ❌ ✅ 4
EventRPG: Event Data Augmentation with Relevance Propagation Guidance ❌ ✅ ✅ ❌ ❌ ❌ ✅ 3
Evoke: Evoking Critical Thinking Abilities in LLMs via Reviewer-Author Prompt Editing ✅ ❌ ✅ ❌ ❌ ❌ ✅ 3
ExeDec: Execution Decomposition for Compositional Generalization in Neural Program Synthesis ✅ ✅ ✅ ✅ ✅ ❌ ✅ 6
Expected flow networks in stochastic environments and two-player zero-sum games ✅ ✅ ✅ ❌ ✅ ❌ ✅ 5
Experimental Design for Multi-Channel Imaging via Task-Driven Feature Selection ✅ ✅ ✅ ✅ ✅ ❌ ✅ 6
Explaining Kernel Clustering via Decision Trees ✅ ✅ ✅ ❌ ❌ ❌ ✅ 4
Explaining Time Series via Contrastive and Locally Sparse Perturbations ✅ ✅ ✅ ❌ ❌ ❌ ✅ 4
Exploiting Causal Graph Priors with Posterior Sampling for Reinforcement Learning ✅ ❌ ✅ ❌ ❌ ❌ ✅ 3
Exploring Diffusion Time-steps for Unsupervised Representation Learning ❌ ✅ ✅ ❌ ✅ ❌ ✅ 4
Exploring Effective Stimulus Encoding via Vision System Modeling for Visual Prostheses ❌ ❌ ✅ ✅ ✅ ❌ ✅ 4
Exploring Target Representations for Masked Autoencoders ❌ ✅ ✅ ✅ ✅ ❌ ✅ 5
Exploring Weight Balancing on Long-Tailed Recognition Problem ❌ ✅ ✅ ✅ ✅ ❌ ✅ 5
Exploring the Common Appearance-Boundary Adaptation for Nighttime Optical Flow ❌ ❌ ✅ ❌ ❌ ❌ ❌ 1
Exploring the Promise and Limits of Real-Time Recurrent Learning ❌ ✅ ✅ ❌ ✅ ❌ ✅ 4
Exploring the cloud of feature interaction scores in a Rashomon set ✅ ✅ ✅ ✅ ❌ ❌ ✅ 5
Exposing Text-Image Inconsistency Using Diffusion Models ❌ ✅ ✅ ❌ ❌ ❌ ✅ 3
Expressive Losses for Verified Robustness via Convex Combinations ✅ ✅ ✅ ✅ ✅ ❌ ✅ 6
Expressivity of ReLU-Networks under Convex Relaxations ❌ ❌ ❌ ❌ ❌ ❌ ❌ 0
Extending Power of Nature from Binary to Real-Valued Graph Learning in Real World ❌ ❌ ❌ ✅ ✅ ❌ ✅ 3
FFB: A Fair Fairness Benchmark for In-Processing Group Fairness Methods ✅ ✅ ✅ ✅ ❌ ❌ ✅ 5
FITS: Modeling Time Series with $10k$ Parameters ❌ ✅ ✅ ✅ ❌ ❌ ✅ 4
FLASK: Fine-grained Language Model Evaluation based on Alignment Skill Sets ❌ ✅ ✅ ❌ ❌ ❌ ✅ 3
FLATTEN: optical FLow-guided ATTENtion for consistent text-to-video editing ❌ ✅ ✅ ❌ ✅ ❌ ✅ 4
FLD: Fourier Latent Dynamics for Structured Motion Representation and Learning ✅ ✅ ✅ ❌ ❌ ✅ ✅ 5
FOSI: Hybrid First and Second Order Optimization ✅ ✅ ✅ ❌ ✅ ✅ ✅ 6
FROSTER: Frozen CLIP is A Strong Teacher for Open-Vocabulary Action Recognition ❌ ✅ ✅ ✅ ✅ ❌ ✅ 5
Facing the Elephant in the Room: Visual Prompt Tuning or Full finetuning? ❌ ✅ ✅ ✅ ✅ ❌ ✅ 5
Fair Classifiers that Abstain without Harm ✅ ✅ ✅ ✅ ✅ ❌ ✅ 6
Fair and Efficient Contribution Valuation for Vertical Federated Learning ❌ ✅ ✅ ❌ ✅ ❌ ✅ 4
FairSeg: A Large-Scale Medical Image Segmentation Dataset for Fairness Learning Using Segment Anything Model with Fair Error-Bound Scaling ❌ ✅ ✅ ❌ ❌ ❌ ✅ 3
FairTune: Optimizing Parameter Efficient Fine Tuning for Fairness in Medical Image Analysis ✅ ✅ ✅ ✅ ❌ ❌ ✅ 5
FairerCLIP: Debiasing CLIP's Zero-Shot Predictions using Functions in RKHSs ✅ ❌ ✅ ✅ ❌ ❌ ✅ 4
Faithful Explanations of Black-box NLP Models Using LLM-generated Counterfactuals ❌ ✅ ✅ ✅ ❌ ❌ ✅ 4
Faithful Rule Extraction for Differentiable Rule Learning Models ✅ ✅ ✅ ✅ ✅ ✅ ✅ 7
Faithful Vision-Language Interpretation via Concept Bottleneck Models ✅ ❌ ✅ ❌ ❌ ❌ ✅ 3
Faithful and Efficient Explanations for Neural Networks via Neural Tangent Kernel Surrogate Models ❌ ✅ ✅ ❌ ✅ ❌ ✅ 4
Fake It Till Make It: Federated Learning with Consensus-Oriented Generation ✅ ✅ ✅ ❌ ❌ ❌ ✅ 4
Fantastic Gains and Where to Find Them: On the Existence and Prospect of General Knowledge Transfer between Any Pretrained Model ❌ ❌ ✅ ✅ ✅ ✅ ✅ 5
Fantastic Generalization Measures are Nowhere to be Found ❌ ❌ ❌ ❌ ❌ ❌ ❌ 0
Fast Ensembling with Diffusion Schrödinger Bridge ✅ ✅ ✅ ✅ ✅ ❌ ✅ 6
Fast Equilibrium of SGD in Generic Situations ❌ ❌ ✅ ❌ ❌ ❌ ✅ 2
Fast Hyperboloid Decision Tree Algorithms ❌ ✅ ✅ ✅ ✅ ✅ ✅ 6
Fast Imitation via Behavior Foundation Models ❌ ❌ ✅ ❌ ❌ ❌ ✅ 2
Fast Updating Truncated SVD for Representation Learning with Sparse Matrices ✅ ✅ ✅ ❌ ❌ ❌ ✅ 4
Fast Value Tracking for Deep Reinforcement Learning ✅ ❌ ✅ ❌ ✅ ❌ ✅ 4
Fast and unified path gradient estimators for normalizing flows ✅ ✅ ✅ ❌ ✅ ❌ ✅ 5
Fast, Expressive $\mathrm{SE}(n)$ Equivariant Networks through Weight-Sharing in Position-Orientation Space ❌ ✅ ✅ ❌ ❌ ❌ ✅ 3
Fast-DetectGPT: Efficient Zero-Shot Detection of Machine-Generated Text via Conditional Probability Curvature ✅ ✅ ✅ ❌ ✅ ❌ ✅ 5
Fast-ELECTRA for Efficient Pre-training ❌ ❌ ✅ ✅ ✅ ❌ ✅ 4
Faster Approximation of Probabilistic and Distributional Values via Least Squares ✅ ✅ ✅ ✅ ❌ ❌ ✅ 5
Faster Sampling from Log-Concave Densities over Polytopes via Efficient Linear Solvers ✅ ❌ ❌ ❌ ❌ ❌ ❌ 1
FasterViT: Fast Vision Transformers with Hierarchical Attention ❌ ✅ ✅ ✅ ✅ ✅ ✅ 6
FeatUp: A Model-Agnostic Framework for Features at Any Resolution ❌ ✅ ✅ ✅ ❌ ❌ ✅ 4
Feature Collapse ❌ ✅ ❌ ❌ ❌ ❌ ✅ 2
Feature emergence via margin maximization: case studies in algebraic tasks ❌ ❌ ❌ ❌ ❌ ❌ ✅ 1
Feature-aligned N-BEATS with Sinkhorn divergence ✅ ✅ ✅ ✅ ✅ ❌ ✅ 6
FedCDA: Federated Learning with Cross-rounds Divergence-aware Aggregation ✅ ❌ ✅ ❌ ✅ ✅ ✅ 5
FedCompass: Efficient Cross-Silo Federated Learning on Heterogeneous Client Devices Using a Computing Power-Aware Scheduler ✅ ✅ ✅ ✅ ❌ ❌ ✅ 5
FedDA: Faster Adaptive Gradient Methods for Federated Constrained Optimization ✅ ❌ ✅ ❌ ✅ ❌ ✅ 4
FedHyper: A Universal and Robust Learning Rate Scheduler for Federated Learning with Hypergradient Descent ✅ ✅ ✅ ❌ ❌ ❌ ✅ 4
FedImpro: Measuring and Improving Client Update in Federated Learning ✅ ✅ ✅ ❌ ✅ ✅ ✅ 6
FedInverse: Evaluating Privacy Leakage in Federated Learning ✅ ✅ ✅ ❌ ❌ ❌ ✅ 4
FedLoGe: Joint Local and Generic Federated Learning under Long-tailed Data ✅ ✅ ✅ ❌ ✅ ❌ ✅ 5
FedP3: Federated Personalized and Privacy-friendly Network Pruning under Model Heterogeneity ✅ ❌ ✅ ❌ ✅ ✅ ✅ 5
FedTrans: Client-Transparent Utility Estimation for Robust Federated Learning ✅ ✅ ✅ ❌ ✅ ❌ ✅ 5
FedWon: Triumphing Multi-domain Federated Learning Without Normalization ✅ ❌ ✅ ❌ ✅ ❌ ✅ 4
Federated Causal Discovery from Heterogeneous Data ✅ ✅ ✅ ❌ ❌ ❌ ✅ 4
Federated Orthogonal Training: Mitigating Global Catastrophic Forgetting in Continual Federated Learning ✅ ✅ ✅ ❌ ✅ ❌ ✅ 5
Federated Q-Learning: Linear Regret Speedup with Low Communication Cost ✅ ✅ ❌ ❌ ❌ ❌ ✅ 3
Federated Recommendation with Additive Personalization ✅ ✅ ✅ ✅ ✅ ❌ ✅ 6
Federated Text-driven Prompt Generation for Vision-Language Models ✅ ❌ ✅ ✅ ❌ ❌ ✅ 4
Federated Wasserstein Distance ✅ ✅ ✅ ✅ ❌ ❌ ✅ 5
Ferret: Refer and Ground Anything Anywhere at Any Granularity ❌ ✅ ✅ ❌ ✅ ❌ ✅ 4
Few-Shot Detection of Machine-Generated Text using Style Representations ❌ ✅ ✅ ✅ ✅ ❌ ✅ 5
Few-shot Hybrid Domain Adaptation of Image Generator ❌ ❌ ✅ ❌ ✅ ❌ ✅ 3
Fiber Monte Carlo ❌ ❌ ✅ ❌ ✅ ❌ ✅ 3
Fine-Tuned Language Models Generate Stable Inorganic Materials as Text ✅ ✅ ✅ ✅ ✅ ✅ ✅ 7
Fine-Tuning Enhances Existing Mechanisms: A Case Study on Entity Tracking ❌ ✅ ✅ ✅ ❌ ❌ ✅ 4
Fine-Tuning Language Models for Factuality ❌ ✅ ❌ ✅ ❌ ❌ ✅ 3
Fine-tuning Aligned Language Models Compromises Safety, Even When Users Do Not Intend To! ❌ ✅ ✅ ❌ ❌ ❌ ✅ 3
Fine-tuning Multimodal LLMs to Follow Zero-shot Demonstrative Instructions ❌ ✅ ✅ ❌ ✅ ❌ ✅ 4
Finetuning Text-to-Image Diffusion Models for Fairness ✅ ✅ ✅ ✅ ✅ ❌ ✅ 6
Finite Scalar Quantization: VQ-VAE Made Simple ❌ ✅ ✅ ✅ ❌ ❌ ✅ 4
Finite-State Autoregressive Entropy Coding for Efficient Learned Lossless Compression ✅ ✅ ✅ ❌ ✅ ❌ ✅ 5
Finite-Time Analysis of On-Policy Heterogeneous Federated Reinforcement Learning ✅ ❌ ❌ ❌ ❌ ❌ ✅ 2
First-order ANIL provably learns representations despite overparametrisation ❌ ❌ ❌ ✅ ❌ ❌ ✅ 2
Fixed Non-negative Orthogonal Classifier: Inducing Zero-mean Neural Collapse with Feature Dimension Separation ✅ ✅ ✅ ✅ ❌ ❌ ✅ 5
Fixed-Budget Differentially Private Best Arm Identification ✅ ❌ ❌ ❌ ❌ ❌ ✅ 2
Flag Aggregator: Scalable Distributed Training under Failures and Augmented Losses using Convex Optimization ✅ ✅ ✅ ❌ ✅ ❌ ✅ 5
FlashAttention-2: Faster Attention with Better Parallelism and Work Partitioning ✅ ❌ ❌ ❌ ✅ ❌ ✅ 3
FlashFFTConv: Efficient Convolutions for Long Sequences with Tensor Cores ✅ ❌ ✅ ✅ ✅ ❌ ✅ 5
Flat Minima in Linear Estimation and an Extended Gauss Markov Theorem ❌ ❌ ❌ ✅ ❌ ❌ ✅ 2
Flow Matching on General Geometries ✅ ✅ ✅ ✅ ✅ ❌ ✅ 6
Flow to Better: Offline Preference-based Reinforcement Learning via Preferred Trajectory Generation ✅ ✅ ✅ ❌ ✅ ❌ ✅ 5
Follow-Up Differential Descriptions: Language Models Resolve Ambiguities for Image Classification ❌ ✅ ✅ ❌ ❌ ❌ ✅ 3
Forward $\chi^2$ Divergence Based Variational Importance Sampling ✅ ✅ ✅ ❌ ❌ ❌ ✅ 4
Forward Learning of Graph Neural Networks ✅ ✅ ✅ ✅ ✅ ✅ ✅ 7
Forward Learning with Top-Down Feedback: Empirical and Analytical Characterization ✅ ✅ ✅ ❌ ✅ ❌ ✅ 5
Foundation Model-oriented Robustness: Robust Image Model Evaluation with Pretrained Models ✅ ❌ ✅ ❌ ✅ ❌ ✅ 4
Fourier Transporter: Bi-Equivariant Robotic Manipulation in 3D ✅ ❌ ✅ ❌ ✅ ❌ ✅ 4
Free from Bellman Completeness: Trajectory Stitching via Model-based Return-conditioned Supervised Learning ✅ ✅ ✅ ❌ ❌ ❌ ✅ 4
FreeDyG: Frequency Enhanced Continuous-Time Dynamic Graph Model for Link Prediction ✅ ✅ ✅ ✅ ✅ ❌ ✅ 6
FreeNoise: Tuning-Free Longer Video Diffusion via Noise Rescheduling ❌ ✅ ✅ ❌ ✅ ❌ ✅ 4
FreeReg: Image-to-Point Cloud Registration Leveraging Pretrained Diffusion Models and Monocular Depth Estimators ❌ ✅ ✅ ✅ ✅ ❌ ✅ 5
Frequency-Aware Transformer for Learned Image Compression ❌ ✅ ✅ ❌ ✅ ❌ ✅ 4
From Bricks to Bridges: Product of Invariances to Enhance Latent Space Communication ❌ ✅ ✅ ❌ ❌ ❌ ✅ 3
From Graphs to Hypergraphs: Hypergraph Projection and its Reconstruction ✅ ✅ ✅ ✅ ✅ ❌ ✅ 6
From Latent Graph to Latent Topology Inference: Differentiable Cell Complex Module ❌ ✅ ✅ ❌ ✅ ❌ ✅ 4
From Molecules to Materials: Pre-training Large Generalizable Models for Atomic Property Prediction ✅ ✅ ✅ ✅ ✅ ❌ ✅ 6
From Posterior Sampling to Meaningful Diversity in Image Restoration ✅ ✅ ✅ ❌ ❌ ❌ ✅ 4
From Sparse to Soft Mixtures of Experts ✅ ✅ ✅ ✅ ✅ ❌ ✅ 6
From Zero to Turbulence: Generative Modeling for 3D Flow Simulation ❌ ✅ ✅ ✅ ✅ ❌ ✅ 5
Frozen Transformers in Language Models Are Effective Visual Encoder Layers ✅ ✅ ✅ ✅ ✅ ❌ ✅ 6
Fully Hyperbolic Convolutional Neural Networks for Computer Vision ❌ ✅ ✅ ✅ ✅ ❌ ✅ 5
Function Vectors in Large Language Models ❌ ✅ ✅ ❌ ❌ ❌ ✅ 3
Function-space Parameterization of Neural Networks for Sequential Learning ✅ ✅ ✅ ✅ ✅ ❌ ✅ 6
Functional Bayesian Tucker Decomposition for Continuous-indexed Tensor Data ✅ ✅ ✅ ✅ ❌ ❌ ✅ 5
Functional Interpolation for Relative Positions improves Long Context Transformers ✅ ❌ ✅ ❌ ✅ ❌ ✅ 4
Fusing Models with Complementary Expertise ❌ ✅ ✅ ✅ ❌ ❌ ✅ 4
Fusion Is Not Enough: Single Modal Attacks on Fusion Models for 3D Object Detection ❌ ✅ ✅ ❌ ✅ ❌ ✅ 4
Future Language Modeling from Temporal Document History ❌ ✅ ✅ ✅ ✅ ❌ ✅ 5
G$^2$N$^2$ : Weisfeiler and Lehman go grammatical ❌ ❌ ✅ ✅ ❌ ❌ ✅ 3
GAFormer: Enhancing Timeseries Transformers Through Group-Aware Embeddings ❌ ✅ ✅ ✅ ❌ ❌ ✅ 4
GAIA: Zero-shot Talking Avatar Generation ❌ ❌ ✅ ✅ ✅ ❌ ✅ 4
GAIA: a benchmark for General AI Assistants ❌ ❌ ✅ ✅ ❌ ❌ ✅ 3
GENOME: Generative Neuro-Symbolic Visual Reasoning by Growing and Reusing Modules ❌ ❌ ✅ ✅ ❌ ❌ ✅ 3
GIM: Learning Generalizable Image Matcher From Internet Videos ❌ ✅ ✅ ❌ ✅ ❌ ✅ 4
GIO: Gradient Information Optimization for Training Dataset Selection ✅ ✅ ✅ ✅ ✅ ❌ ✅ 6
GNNBoundary: Towards Explaining Graph Neural Networks through the Lens of Decision Boundaries ✅ ✅ ✅ ❌ ✅ ✅ ✅ 6
GNNCert: Deterministic Certification of Graph Neural Networks against Adversarial Perturbations ❌ ✅ ✅ ✅ ❌ ❌ ✅ 4
GNNX-BENCH: Unravelling the Utility of Perturbation-based GNN Explainers through In-depth Benchmarking ❌ ✅ ✅ ✅ ✅ ❌ ✅ 5
GNeRP: Gaussian-guided Neural Reconstruction of Reflective Objects with Noisy Polarization Priors ❌ ❌ ❌ ❌ ✅ ❌ ✅ 2
GOAt: Explaining Graph Neural Networks via Graph Output Attribution ❌ ✅ ✅ ✅ ✅ ❌ ✅ 5
GPAvatar: Generalizable and Precise Head Avatar from Image(s) ❌ ✅ ✅ ❌ ✅ ❌ ✅ 4
GPT-4 Is Too Smart To Be Safe: Stealthy Chat with LLMs via Cipher ❌ ✅ ✅ ❌ ❌ ❌ ✅ 3
GRANDE: Gradient-Based Decision Tree Ensembles for Tabular Data ❌ ✅ ✅ ✅ ✅ ❌ ✅ 5
GRAPH-CONSTRAINED DIFFUSION FOR END-TO-END PATH PLANNING ✅ ✅ ✅ ❌ ✅ ❌ ✅ 5
GROOT: Learning to Follow Instructions by Watching Gameplay Videos ❌ ❌ ✅ ❌ ✅ ❌ ✅ 3
GTA: A Geometry-Aware Attention Mechanism for Multi-View Transformers ✅ ✅ ✅ ✅ ✅ ❌ ✅ 6
GTMGC: Using Graph Transformer to Predict Molecule’s Ground-State Conformation ❌ ✅ ✅ ✅ ❌ ❌ ✅ 4
Gaining Wisdom from Setbacks: Aligning Large Language Models via Mistake Analysis ❌ ❌ ✅ ❌ ✅ ❌ ✅ 3
Game-Theoretic Robust Reinforcement Learning Handles Temporally-Coupled Perturbations ✅ ❌ ✅ ❌ ✅ ❌ ✅ 4
Gen-Z: Generative Zero-Shot Text Classification with Contextualized Label Descriptions ❌ ✅ ✅ ❌ ❌ ❌ ✅ 3
GenCorres: Consistent Shape Matching via Coupled Implicit-Explicit Shape Generative Models ❌ ❌ ✅ ❌ ❌ ❌ ✅ 2
GenSim: Generating Robotic Simulation Tasks via Large Language Models ❌ ✅ ✅ ❌ ✅ ❌ ✅ 4
Gene Regulatory Network Inference in the Presence of Dropouts: a Causal View ❌ ✅ ✅ ❌ ✅ ❌ ✅ 4
GeneOH Diffusion: Towards Generalizable Hand-Object Interaction Denoising via Denoising Diffusion ✅ ✅ ✅ ✅ ❌ ❌ ✅ 5
General Graph Random Features ✅ ✅ ✅ ❌ ❌ ❌ ✅ 4
General Stability Analysis for Zeroth-Order Optimization Algorithms ❌ ❌ ✅ ✅ ❌ ❌ ✅ 3
Generalization error of spectral algorithms ❌ ❌ ❌ ❌ ❌ ❌ ✅ 1
Generalization in diffusion models arises from geometry-adaptive harmonic representations ✅ ✅ ✅ ❌ ❌ ❌ ✅ 4
Generalization of Scaled Deep ResNets in the Mean-Field Regime ❌ ❌ ✅ ❌ ❌ ❌ ✅ 2
Generalized Neural Sorting Networks with Error-Free Differentiable Swap Functions ❌ ❌ ✅ ❌ ✅ ❌ ✅ 3
Generalized Policy Iteration using Tensor Approximation for Hybrid Control ✅ ✅ ✅ ❌ ✅ ❌ ✅ 5
Generalized Schrödinger Bridge Matching ✅ ❌ ✅ ❌ ❌ ❌ ✅ 3
Generating Images with 3D Annotations Using Diffusion Models ✅ ✅ ✅ ✅ ✅ ❌ ✅ 6
Generating Pragmatic Examples to Train Neural Program Synthesizers ✅ ✅ ✅ ✅ ❌ ❌ ✅ 5
Generative Adversarial Equilibrium Solvers ✅ ❌ ❌ ❌ ❌ ❌ ❌ 1
Generative Human Motion Stylization in Latent Space ❌ ✅ ✅ ❌ ✅ ❌ ✅ 4
Generative Judge for Evaluating Alignment ❌ ✅ ✅ ❌ ✅ ❌ ✅ 4
Generative Learning for Financial Time Series with Irregular and Scale-Invariant Patterns ✅ ✅ ✅ ❌ ❌ ❌ ✅ 4
Generative Learning for Solving Non-Convex Problem with Multi-Valued Input-Solution Mapping ❌ ✅ ✅ ❌ ❌ ❌ ✅ 3
Generative Modeling of Regular and Irregular Time Series Data via Koopman VAEs ❌ ✅ ✅ ❌ ✅ ✅ ✅ 5
Generative Modeling with Phase Stochastic Bridge ✅ ❌ ✅ ❌ ✅ ❌ ✅ 4
Generative Pre-training for Speech with Flow Matching ❌ ❌ ✅ ❌ ✅ ❌ ✅ 3
Generative Sliced MMD Flows with Riesz Kernels ✅ ✅ ✅ ✅ ✅ ❌ ✅ 6
GeoDiffusion: Text-Prompted Geometric Control for Object Detection Data Generation ❌ ❌ ✅ ✅ ✅ ✅ ✅ 5
GeoLLM: Extracting Geospatial Knowledge from Large Language Models ❌ ✅ ✅ ✅ ✅ ❌ ✅ 5
Geographic Location Encoding with Spherical Harmonics and Sinusoidal Representation Networks ❌ ✅ ✅ ✅ ❌ ❌ ✅ 4
Geometrically Aligned Transfer Encoder for Inductive Transfer in Regression Tasks ✅ ❌ ✅ ✅ ✅ ❌ ✅ 5
Geometry-Aware Projective Mapping for Unbounded Neural Radiance Fields ❌ ❌ ✅ ❌ ❌ ❌ ✅ 2
Get What You Want, Not What You Don't: Image Content Suppression for Text-to-Image Diffusion Models ✅ ✅ ✅ ❌ ✅ ❌ ✅ 5
Get more for less: Principled Data Selection for Warming Up Fine-Tuning in LLMs ❌ ✅ ✅ ✅ ✅ ✅ ✅ 6
Ghost on the Shell: An Expressive Representation of General 3D Shapes ✅ ❌ ✅ ❌ ✅ ❌ ✅ 4
Global Optimality for Non-linear Constrained Restoration Problems via Invexity ❌ ❌ ✅ ✅ ❌ ❌ ✅ 3
GlucoBench: Curated List of Continuous Glucose Monitoring Datasets with Prediction Benchmarks ❌ ✅ ✅ ✅ ✅ ❌ ✅ 5
GoLLIE: Annotation Guidelines improve Zero-Shot Information-Extraction ❌ ✅ ✅ ✅ ✅ ❌ ✅ 5
Going Beyond Neural Network Feature Similarity: The Network Feature Complexity and Its Interpretation Using Category Theory ✅ ✅ ✅ ❌ ✅ ❌ ✅ 5
Goodhart's Law in Reinforcement Learning ✅ ❌ ❌ ❌ ✅ ❌ ✅ 3
Gradual Domain Adaptation via Gradient Flow ✅ ✅ ✅ ✅ ✅ ❌ ✅ 6
Gradual Optimization Learning for Conformational Energy Minimization ✅ ✅ ✅ ❌ ✅ ✅ ✅ 6
Graph Generation with $K^2$-trees ✅ ✅ ✅ ✅ ✅ ❌ ✅ 6
Graph Lottery Ticket Automated ✅ ❌ ✅ ✅ ❌ ❌ ✅ 4
Graph Metanetworks for Processing Diverse Neural Architectures ❌ ❌ ✅ ✅ ❌ ❌ ✅ 3
Graph Neural Networks for Learning Equivariant Representations of Neural Networks ❌ ✅ ✅ ✅ ❌ ❌ ✅ 4
Graph Parsing Networks ✅ ✅ ✅ ✅ ✅ ❌ ✅ 6
Graph Transformers on EHRs: Better Representation Improves Downstream Performance ❌ ✅ ✅ ✅ ✅ ❌ ✅ 5
Graph-based Virtual Sensing from Sparse and Partial Multivariate Observations ❌ ✅ ✅ ✅ ✅ ❌ ✅ 5
GraphCare: Enhancing Healthcare Predictions with Personalized Knowledge Graphs ✅ ✅ ✅ ✅ ✅ ✅ ✅ 7
GraphChef: Decision-Tree Recipes to Explain Graph Neural Networks ❌ ✅ ✅ ✅ ❌ ❌ ✅ 4
GraphPulse: Topological representations for temporal graph property prediction ❌ ✅ ✅ ✅ ✅ ❌ ✅ 5
Graphical Multioutput Gaussian Process with Attention ❌ ✅ ❌ ❌ ❌ ❌ ✅ 2
Grokking as a First Order Phase Transition in Two Layer Networks ❌ ❌ ❌ ✅ ❌ ❌ ✅ 2
Grokking as the transition from lazy to rich training dynamics ❌ ❌ ✅ ❌ ❌ ❌ ✅ 2
Grokking in Linear Estimators -- A Solvable Model that Groks without Understanding ❌ ❌ ❌ ❌ ❌ ❌ ✅ 1
Ground-A-Video: Zero-shot Grounded Video Editing using Text-to-image Diffusion Models ✅ ✅ ✅ ❌ ❌ ❌ ✅ 4
Grounded Object-Centric Learning ✅ ✅ ✅ ✅ ✅ ❌ ✅ 6
Grounding Language Plans in Demonstrations Through Counterfactual Perturbations ❌ ❌ ✅ ❌ ❌ ❌ ❌ 1
Grounding Multimodal Large Language Models to the World ❌ ✅ ✅ ✅ ✅ ❌ ✅ 5
Group Preference Optimization: Few-Shot Alignment of Large Language Models ✅ ✅ ✅ ✅ ✅ ❌ ✅ 6
Guaranteed Approximation Bounds for Mixed-Precision Neural Operators ❌ ✅ ✅ ✅ ✅ ❌ ✅ 5
Guess & Sketch: Language Model Guided Transpilation ✅ ❌ ✅ ❌ ✅ ❌ ✅ 4
Guiding Instruction-based Image Editing via Multimodal Large Language Models ✅ ❌ ✅ ✅ ✅ ❌ ✅ 5
Guiding Masked Representation Learning to Capture Spatio-Temporal Relationship of Electrocardiogram ❌ ✅ ✅ ✅ ✅ ✅ ✅ 6
H-GAP: Humanoid Control with a Generalist Planner ✅ ✅ ✅ ❌ ✅ ❌ ✅ 5
H2O-SDF: Two-phase Learning for 3D Indoor Reconstruction using Object Surface Fields ❌ ❌ ✅ ❌ ✅ ❌ ✅ 3
HAZARD Challenge: Embodied Decision Making in Dynamically Changing Environments ❌ ✅ ✅ ❌ ✅ ❌ ✅ 4
HIFA: High-fidelity Text-to-3D Generation with Advanced Diffusion Guidance ✅ ❌ ❌ ❌ ❌ ❌ ✅ 2
HYPO: Hyperspherical Out-Of-Distribution Generalization ✅ ✅ ✅ ✅ ✅ ✅ ✅ 7
Habitat 3.0: A Co-Habitat for Humans, Avatars, and Robots ❌ ✅ ✅ ✅ ✅ ❌ ✅ 5
Harnessing Density Ratios for Online Reinforcement Learning ✅ ❌ ❌ ❌ ❌ ❌ ❌ 1
Harnessing Explanations: LLM-to-LM Interpreter for Enhanced Text-Attributed Graph Representation Learning ❌ ✅ ✅ ✅ ✅ ❌ ✅ 5
Harnessing Joint Rain-/Detail-aware Representations to Eliminate Intricate Rains ✅ ✅ ✅ ✅ ✅ ❌ ✅ 6
Headless Language Models: Learning without Predicting with Contrastive Weight Tying ✅ ✅ ✅ ✅ ✅ ❌ ✅ 6
Hebbian Learning based Orthogonal Projection for Continual Learning of Spiking Neural Networks ❌ ✅ ✅ ✅ ✅ ❌ ✅ 5
Heterogeneous Personalized Federated Learning by Local-Global Updates Mixing via Convergence Rate ✅ ✅ ✅ ✅ ✅ ❌ ✅ 6
HiGen: Hierarchical Graph Generative Networks ✅ ✅ ✅ ✅ ✅ ❌ ✅ 6
Hiding in Plain Sight: Disguising Data Stealing Attacks in Federated Learning ✅ ✅ ✅ ✅ ✅ ✅ ✅ 7
Hierarchical Context Merging: Better Long Context Understanding for Pre-trained LLMs ✅ ✅ ✅ ✅ ✅ ❌ ✅ 6
High-dimensional SGD aligns with emerging outlier eigenspaces ❌ ❌ ❌ ❌ ❌ ❌ ✅ 1
Hindsight PRIORs for Reward Learning from Human Preferences ❌ ❌ ✅ ❌ ❌ ❌ ✅ 2
HoloNets: Spectral Convolutions do extend to Directed Graphs ✅ ✅ ✅ ✅ ✅ ❌ ✅ 6
Horizon-Free Regret for Linear Markov Decision Processes ✅ ❌ ❌ ❌ ❌ ❌ ❌ 1
Horizon-free Reinforcement Learning in Adversarial Linear Mixture MDPs ✅ ❌ ❌ ❌ ❌ ❌ ❌ 1
How Do Transformers Learn In-Context Beyond Simple Functions? A Case Study on Learning with Representations ❌ ✅ ❌ ✅ ❌ ❌ ✅ 3
How Does Unlabeled Data Provably Help Out-of-Distribution Detection? ✅ ✅ ✅ ❌ ✅ ✅ ✅ 6
How I Warped Your Noise: a Temporally-Correlated Noise Prior for Diffusion Models ✅ ❌ ✅ ❌ ✅ ❌ ❌ 3
How Many Pretraining Tasks Are Needed for In-Context Learning of Linear Regression? ❌ ❌ ❌ ❌ ❌ ❌ ✅ 1
How Over-Parameterization Slows Down Gradient Descent in Matrix Sensing: The Curses of Symmetry and Initialization ❌ ❌ ❌ ❌ ❌ ❌ ✅ 1
How Realistic Is Your Synthetic Data? Constraining Deep Generative Models for Tabular Data ❌ ✅ ✅ ✅ ❌ ❌ ✅ 4
How Well Do Supervised 3D Models Transfer to Medical Imaging Tasks? ❌ ✅ ✅ ✅ ❌ ❌ ❌ 3
How connectivity structure shapes rich and lazy learning in neural circuits ❌ ❌ ✅ ❌ ❌ ❌ ❌ 1
How do Language Models Bind Entities in Context? ❌ ✅ ❌ ❌ ❌ ❌ ✅ 2
How to Capture Higher-order Correlations? Generalizing Matrix Softmax Attention to Kronecker Computation ✅ ❌ ❌ ❌ ❌ ❌ ❌ 1
How to Catch an AI Liar: Lie Detection in Black-Box LLMs by Asking Unrelated Questions ✅ ✅ ✅ ❌ ❌ ❌ ✅ 4
How to Fine-Tune Vision Models with SGD ❌ ❌ ✅ ✅ ✅ ❌ ✅ 4
Human Feedback is not Gold Standard ❌ ✅ ✅ ❌ ❌ ❌ ✅ 3
Human Motion Diffusion as a Generative Prior ✅ ✅ ✅ ❌ ✅ ❌ ✅ 5
Hybrid Directional Graph Neural Network for Molecules ❌ ✅ ✅ ❌ ❌ ❌ ✅ 3
Hybrid Distillation: Connecting Masked Autoencoders with Contrastive Learners ❌ ✅ ✅ ❌ ✅ ❌ ✅ 4
Hybrid Internal Model: Learning Agile Legged Locomotion with Simulated Robot Response ❌ ❌ ❌ ❌ ✅ ❌ ✅ 2
Hybrid LLM: Cost-Efficient and Quality-Aware Query Routing ❌ ✅ ✅ ✅ ✅ ❌ ✅ 5
Hybrid Sharing for Multi-Label Image Classification ✅ ❌ ✅ ✅ ✅ ❌ ✅ 5
HypeBoy: Generative Self-Supervised Representation Learning on Hypergraphs ✅ ✅ ✅ ✅ ✅ ❌ ✅ 6
Hyper Evidential Deep Learning to Quantify Composite Classification Uncertainty ✅ ✅ ✅ ✅ ❌ ❌ ✅ 5
HyperAttention: Long-context Attention in Near-Linear Time ✅ ❌ ✅ ❌ ✅ ❌ ✅ 4
HyperHuman: Hyper-Realistic Human Generation with Latent Structural Diffusion ❌ ✅ ✅ ❌ ✅ ❌ ✅ 4
Hypergraph Dynamic System ✅ ❌ ✅ ✅ ❌ ❌ ✅ 4
Hypothesis Search: Inductive Reasoning with Language Models ✅ ❌ ✅ ❌ ❌ ❌ ✅ 3
I-PHYRE: Interactive Physical Reasoning ❌ ❌ ❌ ✅ ✅ ❌ ✅ 3
IDEAL: Influence-Driven Selective Annotations Empower In-Context Learners in Large Language Models ✅ ✅ ✅ ✅ ✅ ❌ ✅ 6
IMPUS: Image Morphing with Perceptually-Uniform Sampling Using Diffusion Models ✅ ✅ ✅ ❌ ❌ ❌ ✅ 4
INSIDE: LLMs' Internal States Retain the Power of Hallucination Detection ❌ ❌ ✅ ✅ ✅ ❌ ✅ 4
INViTE: INterpret and Control Vision-Language Models with Text Explanations ❌ ✅ ✅ ✅ ✅ ❌ ✅ 5
IRAD: Implicit Representation-driven Image Resampling against Adversarial Attacks ❌ ✅ ✅ ❌ ✅ ❌ ✅ 4
IceFormer: Accelerated Inference with Long-Sequence Transformers on CPUs ✅ ✅ ✅ ✅ ✅ ❌ ✅ 6
Idempotence and Perceptual Image Compression ❌ ✅ ✅ ✅ ✅ ❌ ✅ 5
Idempotent Generative Network ✅ ❌ ✅ ❌ ❌ ❌ ✅ 3
Identifiable Latent Polynomial Causal Models through the Lens of Change ❌ ❌ ✅ ❌ ❌ ❌ ✅ 2
Identifying Policy Gradient Subspaces ❌ ✅ ✅ ❌ ❌ ❌ ✅ 3
Identifying Representations for Intervention Extrapolation ✅ ✅ ❌ ❌ ❌ ❌ ✅ 3
Identifying the Risks of LM Agents with an LM-Emulated Sandbox ❌ ✅ ❌ ❌ ❌ ❌ ✅ 2
Illusory Attacks: Information-theoretic detectability matters in adversarial attacks ✅ ✅ ✅ ❌ ✅ ❌ ✅ 5
Image Background Serves as Good Proxy for Out-of-distribution Data ❌ ❌ ✅ ❌ ✅ ❌ ✅ 3
Image Clustering Conditioned on Text Criteria ✅ ✅ ✅ ❌ ❌ ✅ ✅ 5
Image Clustering via the Principle of Rate Reduction in the Age of Pretrained Models ✅ ✅ ✅ ✅ ✅ ❌ ✅ 6
Image Inpainting via Iteratively Decoupled Probabilistic Modeling ❌ ✅ ✅ ✅ ✅ ❌ ✅ 5
Image Inpainting via Tractable Steering of Diffusion Models ✅ ✅ ✅ ✅ ❌ ❌ ✅ 5
Image Translation as Diffusion Visual Programmers ✅ ✅ ✅ ❌ ✅ ✅ ✅ 6
Image2Sentence based Asymmetrical Zero-shot Composed Image Retrieval ❌ ❌ ✅ ✅ ✅ ❌ ✅ 4
ImageNet-OOD: Deciphering Modern Out-of-Distribution Detection Algorithms ❌ ✅ ✅ ❌ ❌ ❌ ❌ 2
ImagenHub: Standardizing the evaluation of conditional image generation models ❌ ✅ ✅ ❌ ❌ ❌ ✅ 3
Imitation Learning from Observation with Automatic Discount Scheduling ✅ ✅ ✅ ❌ ❌ ❌ ✅ 4
Impact of Computation in Integral Reinforcement Learning for Continuous-Time Control ❌ ✅ ❌ ❌ ❌ ❌ ✅ 2
Implicit Gaussian process representation of vector fields over arbitrary latent manifolds ❌ ❌ ❌ ✅ ❌ ❌ ❌ 1
Implicit Maximum a Posteriori Filtering via Adaptive Optimization ✅ ✅ ✅ ✅ ❌ ❌ ✅ 5
Implicit Neural Representation Inference for Low-Dimensional Bayesian Deep Learning ✅ ❌ ✅ ✅ ❌ ❌ ✅ 4
Implicit Neural Representations and the Algebra of Complex Wavelets ❌ ❌ ✅ ❌ ❌ ❌ ✅ 2
Implicit bias of SGD in $L_2$-regularized linear DNNs: One-way jumps from high to low rank ❌ ❌ ❌ ❌ ❌ ❌ ✅ 1
Implicit regularization of deep residual networks towards neural ODEs ❌ ✅ ✅ ❌ ❌ ❌ ✅ 3
ImplicitSLIM and How it Improves Embedding-based Collaborative Filtering ✅ ✅ ✅ ✅ ❌ ❌ ✅ 5
Improved Active Learning via Dependent Leverage Score Sampling ✅ ❌ ❌ ❌ ❌ ❌ ✅ 2
Improved Analysis of Sparse Linear Regression in Local Differential Privacy Model ✅ ❌ ❌ ❌ ❌ ❌ ❌ 1
Improved Efficiency Based on Learned Saccade and Continuous Scene Reconstruction From Foveated Visual Sampling ❌ ✅ ✅ ✅ ❌ ❌ ✅ 4
Improved Probabilistic Image-Text Representations ✅ ✅ ✅ ✅ ✅ ❌ ✅ 6
Improved Regret Bounds for Non-Convex Online-Within-Online Meta Learning ✅ ❌ ✅ ❌ ❌ ❌ ✅ 3
Improved Techniques for Training Consistency Models ❌ ❌ ✅ ❌ ✅ ❌ ✅ 3
Improved algorithm and bounds for successive projection ✅ ✅ ❌ ❌ ❌ ❌ ✅ 3
Improved sampling via learned diffusions ✅ ✅ ✅ ❌ ❌ ❌ ✅ 4
Improved statistical and computational complexity of the mean-field Langevin dynamics under structured data ❌ ❌ ❌ ❌ ❌ ❌ ✅ 1
Improving Convergence and Generalization Using Parameter Symmetries ✅ ✅ ✅ ❌ ❌ ❌ ✅ 4
Improving Domain Generalization with Domain Relations ✅ ❌ ✅ ✅ ❌ ❌ ✅ 4
Improving Generalization of Alignment with Human Preferences through Group Invariant Learning ✅ ❌ ✅ ❌ ✅ ❌ ✅ 4
Improving Intrinsic Exploration by Creating Stationary Objectives ✅ ❌ ✅ ❌ ❌ ❌ ✅ 3
Improving LoRA in Privacy-preserving Federated Learning ❌ ❌ ✅ ✅ ✅ ❌ ✅ 4
Improving Non-Transferable Representation Learning by Harnessing Content and Style ✅ ✅ ✅ ✅ ✅ ✅ ✅ 7
Improving Offline RL by Blending Heuristics ✅ ❌ ✅ ❌ ✅ ❌ ✅ 4
Improving equilibrium propagation without weight symmetry through Jacobian homeostasis ❌ ✅ ✅ ❌ ✅ ❌ ✅ 4
Improving protein optimization with smoothed fitness landscapes ✅ ✅ ✅ ❌ ✅ ❌ ✅ 5
Improving the Convergence of Dynamic NeRFs via Optimal Transport ✅ ✅ ✅ ❌ ❌ ❌ ✅ 4
In defense of parameter sharing for model-compression ❌ ❌ ✅ ❌ ✅ ❌ ✅ 3
In-Context Learning Dynamics with Random Binary Sequences ❌ ✅ ✅ ❌ ✅ ✅ ✅ 5
In-Context Learning Learns Label Relationships but Is Not Conventional Learning ❌ ✅ ✅ ❌ ❌ ❌ ✅ 3
In-Context Learning through the Bayesian Prism ❌ ✅ ❌ ❌ ✅ ❌ ✅ 3
In-Context Pretraining: Language Modeling Beyond Document Boundaries ✅ ✅ ✅ ❌ ✅ ❌ ✅ 5
In-context Autoencoder for Context Compression in a Large Language Model ❌ ✅ ✅ ❌ ✅ ✅ ✅ 5
In-context Exploration-Exploitation for Reinforcement Learning ✅ ❌ ✅ ❌ ✅ ❌ ✅ 4
Incentive-Aware Federated Learning with Training-Time Model Rewards ✅ ✅ ✅ ❌ ✅ ❌ ✅ 5
Incentivized Truthful Communication for Federated Bandits ✅ ❌ ❌ ❌ ❌ ❌ ✅ 2
Increasing Model Capacity for Free: A Simple Strategy for Parameter Efficient Fine-tuning ❌ ✅ ✅ ✅ ✅ ✅ ✅ 6
Incremental Randomized Smoothing Certification ✅ ✅ ✅ ❌ ✅ ✅ ✅ 6
Independent-Set Design of Experiments for Estimating Treatment and Spillover Effects under Network Interference ✅ ❌ ✅ ❌ ❌ ❌ ✅ 3
Inducing High Energy-Latency of Large Vision-Language Models with Verbose Images ✅ ✅ ✅ ❌ ✅ ❌ ✅ 5
Influencer Backdoor Attack on Semantic Segmentation ✅ ✅ ✅ ✅ ❌ ❌ ✅ 5
InfoBatch: Lossless Training Speed Up by Unbiased Dynamic Data Pruning ❌ ✅ ✅ ✅ ✅ ❌ ✅ 5
InfoCon: Concept Discovery with Generative and Discriminative Informativeness ✅ ✅ ✅ ✅ ❌ ❌ ✅ 5
Information Bottleneck Analysis of Deep Neural Networks via Lossy Compression ✅ ✅ ✅ ❌ ✅ ❌ ✅ 5
Information Retention via Learning Supplemental Features ✅ ✅ ✅ ✅ ❌ ❌ ✅ 5
Inherently Interpretable Time Series Classification via Multiple Instance Learning ❌ ✅ ✅ ❌ ✅ ✅ ✅ 5
Initializing Models with Larger Ones ✅ ✅ ✅ ❌ ❌ ❌ ✅ 4
Inner Classifier-Free Guidance and Its Taylor Expansion for Diffusion Models ✅ ❌ ✅ ✅ ✅ ❌ ✅ 5
Input-gradient space particle inference for neural network ensembles ✅ ✅ ✅ ❌ ✅ ❌ ✅ 5
Ins-DetCLIP: Aligning Detection Model to Follow Human-Language Instruction ❌ ❌ ✅ ✅ ✅ ❌ ✅ 4
InsertNeRF: Instilling Generalizability into NeRF with HyperNet Modules ✅ ❌ ✅ ❌ ✅ ✅ ✅ 5
InstaFlow: One Step is Enough for High-Quality Diffusion-Based Text-to-Image Generation ✅ ✅ ✅ ❌ ✅ ✅ ✅ 6
Instant3D: Fast Text-to-3D with Sparse-view Generation and Large Reconstruction Model ❌ ❌ ✅ ❌ ✅ ❌ ✅ 3
InstructCV: Instruction-Tuned Text-to-Image Diffusion Models as Vision Generalists ❌ ✅ ✅ ✅ ✅ ✅ ✅ 6
InstructDET: Diversifying Referring Object Detection with Generalized Instructions ❌ ✅ ✅ ✅ ✅ ❌ ✅ 5
InstructPix2NeRF: Instructed 3D Portrait Editing from a Single Image ❌ ✅ ✅ ❌ ✅ ❌ ✅ 4
InstructScene: Instruction-Driven 3D Indoor Scene Synthesis with Semantic Graph Prior ❌ ✅ ✅ ✅ ✅ ❌ ✅ 5
Instructive Decoding: Instruction-Tuned Large Language Models are Self-Refiner from Noisy Instructions ✅ ❌ ✅ ❌ ❌ ❌ ✅ 3
Integrating Planning and Deep Reinforcement Learning via Automatic Induction of Task Substructures ✅ ❌ ❌ ❌ ❌ ✅ ✅ 3
Intelligent Switching for Reset-Free RL ✅ ✅ ✅ ❌ ❌ ❌ ✅ 4
InternVid: A Large-scale Video-Text Dataset for Multimodal Understanding and Generation ✅ ✅ ✅ ✅ ✅ ❌ ✅ 6
Internal Cross-layer Gradients for Extending Homogeneity to Heterogeneity in Federated Learning ✅ ✅ ✅ ❌ ✅ ❌ ✅ 5
InterpGNN: Understand and Improve Generalization Ability of Transdutive GNNs through the Lens of Interplay between Train and Test Nodes ✅ ❌ ✅ ✅ ✅ ❌ ✅ 5
Interpretable Diffusion via Information Decomposition ❌ ✅ ✅ ✅ ❌ ✅ ✅ 5
Interpretable Meta-Learning of Physical Systems ✅ ✅ ❌ ❌ ❌ ❌ ✅ 3
Interpretable Sparse System Identification: Beyond Recent Deep Learning Techniques on Time-Series Prediction ✅ ❌ ✅ ✅ ❌ ❌ ✅ 4
Interpreting CLIP's Image Representation via Text-Based Decomposition ✅ ✅ ✅ ✅ ❌ ❌ ✅ 5
Interpreting Robustness Proofs of Deep Neural Networks ✅ ✅ ✅ ❌ ✅ ❌ ✅ 5
Interventional Fairness on Partially Known Causal Graphs: A Constrained Optimization Approach ✅ ❌ ✅ ✅ ❌ ❌ ✅ 4
Intriguing Properties of Data Attribution on Diffusion Models ❌ ✅ ✅ ✅ ✅ ✅ ✅ 6
Intriguing Properties of Generative Classifiers ✅ ❌ ✅ ❌ ❌ ❌ ✅ 3
Invariance-based Learning of Latent Dynamics ❌ ✅ ✅ ✅ ✅ ❌ ✅ 5
Inverse Approximation Theory for Nonlinear Recurrent Neural Networks ❌ ✅ ✅ ❌ ❌ ❌ ✅ 3
Investigating the Benefits of Projection Head for Representation Learning ❌ ❌ ✅ ❌ ❌ ❌ ✅ 2
Is ImageNet worth 1 video? Learning strong image encoders from 1 long unlabelled video ❌ ✅ ✅ ✅ ✅ ❌ ✅ 5
Is Self-Repair a Silver Bullet for Code Generation? ✅ ✅ ✅ ❌ ❌ ✅ ✅ 5
Is This the Subspace You Are Looking for? An Interpretability Illusion for Subspace Activation Patching ❌ ❌ ✅ ❌ ❌ ❌ ✅ 2
Is attention required for ICL? Exploring the Relationship Between Model Architecture and In-Context Learning Ability ❌ ✅ ✅ ✅ ❌ ❌ ✅ 4
It's Never Too Late: Fusing Acoustic Information into Large Language Models for Automatic Speech Recognition ❌ ❌ ✅ ✅ ❌ ❌ ✅ 3
Ito Diffusion Approximation of Universal Ito Chains for Sampling, Optimization and Boosting ❌ ❌ ❌ ❌ ❌ ❌ ❌ 0
Jailbreak in pieces: Compositional Adversarial Attacks on Multi-Modal Language Models ✅ ❌ ✅ ❌ ✅ ❌ ✅ 4
JoMA: Demystifying Multilayer Transformers via Joint Dynamics of MLP and Attention ❌ ✅ ✅ ❌ ❌ ❌ ✅ 3
JointNet: Extending Text-to-Image Diffusion for Dense Distribution Modeling ❌ ❌ ✅ ✅ ✅ ❌ ✅ 4
Jointly Training Large Autoregressive Multimodal Models ❌ ❌ ✅ ❌ ✅ ❌ ✅ 3
Jointly-Learned Exit and Inference for a Dynamic Neural Network ✅ ✅ ✅ ✅ ❌ ❌ ✅ 5
Jumanji: a Diverse Suite of Scalable Reinforcement Learning Environments in JAX ✅ ✅ ✅ ✅ ✅ ❌ ✅ 6
KITAB: Evaluating LLMs on Constraint Satisfaction for Information Retrieval ❌ ❌ ✅ ❌ ❌ ❌ ✅ 2
KW-Design: Pushing the Limit of Protein Design via Knowledge Refinement ✅ ✅ ✅ ✅ ✅ ❌ ✅ 6
Kalman Filter for Online Classification of Non-Stationary Data ✅ ❌ ✅ ❌ ❌ ❌ ✅ 3
Kernel Metric Learning for In-Sample Off-Policy Evaluation of Deterministic RL Policies ✅ ❌ ✅ ✅ ✅ ❌ ✅ 5
Kernelised Normalising Flows ❌ ❌ ✅ ✅ ✅ ❌ ✅ 4
Kill Two Birds with One Stone: Rethinking Data Augmentation for Deep Long-tailed Learning ✅ ✅ ✅ ❌ ✅ ❌ ✅ 5
Knowledge Card: Filling LLMs' Knowledge Gaps with Plug-in Specialized Language Models ✅ ✅ ✅ ❌ ✅ ❌ ✅ 5
Knowledge Distillation Based on Transformed Teacher Matching ✅ ✅ ✅ ✅ ❌ ❌ ✅ 5
Knowledge Fusion of Large Language Models ✅ ✅ ✅ ❌ ✅ ❌ ✅ 5
KoLA: Carefully Benchmarking World Knowledge of Large Language Models ❌ ✅ ✅ ❌ ✅ ✅ ✅ 5
Koopman-based generalization bound: New aspect for full-rank weights ❌ ❌ ✅ ❌ ❌ ✅ ✅ 3
Kosmos-G: Generating Images in Context with Multimodal Large Language Models ❌ ❌ ✅ ✅ ✅ ❌ ✅ 4
L2MAC: Large Language Model Automatic Computer for Extensive Code Generation ✅ ✅ ✅ ❌ ❌ ✅ ✅ 5
L2P-MIP: Learning to Presolve for Mixed Integer Programming ❌ ✅ ✅ ❌ ✅ ✅ ✅ 5
LCOT: Linear Circular Optimal Transport ❌ ❌ ❌ ❌ ❌ ❌ ✅ 1
LDReg: Local Dimensionality Regularized Self-Supervised Learning ✅ ✅ ✅ ✅ ✅ ❌ ✅ 6
LEAP: Liberate Sparse-View 3D Modeling from Camera Poses ❌ ✅ ✅ ✅ ❌ ❌ ✅ 4
LEGO-Prover: Neural Theorem Proving with Growing Libraries ✅ ✅ ✅ ✅ ❌ ✅ ✅ 6
LEMON: Lossless model expansion ❌ ❌ ✅ ✅ ✅ ❌ ✅ 4
LILO: Learning Interpretable Libraries by Compressing and Documenting Code ✅ ✅ ✅ ❌ ✅ ❌ ✅ 5
LLCP: Learning Latent Causal Processes for Reasoning-based Video Question Answer ❌ ✅ ✅ ✅ ✅ ✅ ✅ 6
LLM Augmented LLMs: Expanding Capabilities through Composition ❌ ❌ ✅ ❌ ❌ ❌ ❌ 1
LLM Blueprint: Enabling Text-to-Image Generation with Complex and Detailed Prompts ✅ ✅ ✅ ❌ ✅ ✅ ✅ 6
LLM-Assisted Code Cleaning For Training Accurate Code Generators ❌ ❌ ✅ ❌ ✅ ❌ ✅ 3
LLM-CXR: Instruction-Finetuned LLM for CXR Image Understanding and Generation ❌ ✅ ✅ ❌ ✅ ❌ ✅ 4
LLM-grounded Video Diffusion Models ❌ ❌ ✅ ❌ ❌ ❌ ✅ 2
LLMCarbon: Modeling the End-to-End Carbon Footprint of Large Language Models ❌ ✅ ✅ ❌ ✅ ❌ ✅ 4
LLMs Meet VLMs: Boost Open Vocabulary Object Detection with Fine-grained Descriptors ❌ ❌ ✅ ✅ ✅ ❌ ✅ 4
LLaMA-Adapter: Efficient Fine-tuning of Large Language Models with Zero-initialized Attention ❌ ✅ ✅ ✅ ✅ ❌ ✅ 5
LMSYS-Chat-1M: A Large-Scale Real-World LLM Conversation Dataset ❌ ✅ ✅ ❌ ✅ ✅ ✅ 5
LMUFormer: Low Complexity Yet Powerful Spiking Model With Legendre Memory Units ❌ ✅ ✅ ✅ ✅ ❌ ✅ 5
LOQA: Learning with Opponent Q-Learning Awareness ✅ ✅ ✅ ❌ ✅ ❌ ✅ 5
LQ-LoRA: Low-rank plus Quantized Matrix Decomposition for Efficient Language Model Finetuning ✅ ✅ ✅ ✅ ✅ ❌ ✅ 6
LRM: Large Reconstruction Model for Single Image to 3D ❌ ❌ ✅ ❌ ✅ ❌ ✅ 3
LRR: Language-Driven Resamplable Continuous Representation against Adversarial Tracking Attacks ❌ ✅ ✅ ✅ ✅ ❌ ✅ 5
LUM-ViT: Learnable Under-sampling Mask Vision Transformer for Bandwidth Limited Optical Signal Acquisition ❌ ✅ ✅ ✅ ✅ ❌ ✅ 5
LUT-GEMM: Quantized Matrix Multiplication based on LUTs for Efficient Inference in Large-Scale Generative Language Models ❌ ✅ ✅ ❌ ✅ ✅ ✅ 5
Label-Agnostic Forgetting: A Supervision-Free Unlearning in Deep Models ✅ ✅ ✅ ❌ ✅ ✅ ✅ 6
Label-Focused Inductive Bias over Latent Object Features in Visual Classification ❌ ✅ ✅ ✅ ✅ ❌ ✅ 5
Label-Noise Robust Diffusion Models ✅ ✅ ✅ ❌ ✅ ✅ ✅ 6
Label-free Node Classification on Graphs with Large Language Models (LLMs) ❌ ✅ ✅ ✅ ❌ ❌ ✅ 4
LabelDP-Pro: Learning with Label Differential Privacy via Projections ✅ ❌ ✅ ❌ ✅ ❌ ✅ 4
Lagrangian Flow Networks for Conservation Laws ❌ ✅ ✅ ✅ ✅ ✅ ✅ 6
LaneSegNet: Map Learning with Lane Segment Perception for Autonomous Driving ❌ ✅ ✅ ✅ ✅ ❌ ✅ 5
Langevin Monte Carlo for strongly log-concave distributions: Randomized midpoint revisited ❌ ❌ ❌ ❌ ❌ ❌ ✅ 1
Language Control Diffusion: Efficiently Scaling through Space, Time, and Tasks ✅ ✅ ✅ ❌ ✅ ❌ ✅ 5
Language Model Beats Diffusion - Tokenizer is key to visual generation ❌ ❌ ✅ ❌ ❌ ❌ ✅ 2
Language Model Cascades: Token-Level Uncertainty And Beyond ❌ ❌ ✅ ✅ ❌ ❌ ✅ 3
Language Model Decoding as Direct Metrics Optimization ✅ ❌ ✅ ✅ ✅ ❌ ✅ 5
Language Model Detectors Are Easily Optimized Against ❌ ✅ ✅ ❌ ❌ ❌ ✅ 3
Language Model Inversion ✅ ✅ ✅ ❌ ❌ ❌ ✅ 4
Language Model Self-improvement by Reinforcement Learning Contemplation ✅ ❌ ✅ ❌ ✅ ❌ ✅ 4
Language Modeling Is Compression ❌ ✅ ✅ ❌ ❌ ❌ ✅ 3
Language Models Represent Space and Time ❌ ✅ ✅ ✅ ❌ ❌ ✅ 4
Language-Informed Visual Concept Learning ❌ ❌ ❌ ❌ ✅ ❌ ✅ 2
Language-Interfaced Tabular Oversampling via Progressive Imputation and Self-Authentication ✅ ❌ ✅ ❌ ❌ ✅ ✅ 4
LanguageBind: Extending Video-Language Pretraining to N-modality by Language-based Semantic Alignment ❌ ❌ ✅ ✅ ❌ ❌ ✅ 3
Large Brain Model for Learning Generic Representations with Tremendous EEG Data in BCI ❌ ✅ ✅ ✅ ✅ ✅ ✅ 6
Large Content And Behavior Models To Understand, Simulate, And Optimize Content And Behavior ❌ ❌ ✅ ❌ ❌ ❌ ❌ 1
Large Language Model Cascades with Mixture of Thought Representations for Cost-Efficient Reasoning ❌ ✅ ✅ ✅ ❌ ✅ ✅ 5
Large Language Models Are Not Robust Multiple Choice Selectors ✅ ✅ ✅ ❌ ✅ ❌ ✅ 5
Large Language Models Cannot Self-Correct Reasoning Yet ❌ ❌ ✅ ❌ ❌ ❌ ✅ 2
Large Language Models are Efficient Learners of Noise-Robust Speech Recognition ✅ ✅ ✅ ✅ ✅ ❌ ✅ 6
Large Language Models as Analogical Reasoners ✅ ❌ ✅ ❌ ❌ ❌ ✅ 3
Large Language Models as Automated Aligners for benchmarking Vision-Language Models ❌ ❌ ✅ ✅ ❌ ❌ ✅ 3
Large Language Models as Generalizable Policies for Embodied Tasks ❌ ✅ ✅ ❌ ✅ ❌ ✅ 4
Large Language Models as Optimizers ❌ ✅ ✅ ✅ ❌ ❌ ✅ 4
Large Language Models as Tool Makers ✅ ✅ ✅ ✅ ❌ ❌ ✅ 5
Large Language Models to Enhance Bayesian Optimization ❌ ✅ ✅ ❌ ✅ ✅ ✅ 5
Large Multilingual Models Pivot Zero-Shot Multimodal Learning across Languages ❌ ✅ ✅ ❌ ❌ ❌ ✅ 3
Large-Vocabulary 3D Diffusion Model with Transformer ❌ ❌ ✅ ❌ ❌ ❌ ❌ 1
Large-scale Training of Foundation Models for Wearable Biosignals ✅ ❌ ❌ ✅ ✅ ❌ ✅ 4
Latent 3D Graph Diffusion ✅ ✅ ✅ ✅ ❌ ❌ ❌ 4
Latent Intuitive Physics: Learning to Transfer Hidden Physics from A 3D Video ✅ ❌ ❌ ❌ ✅ ❌ ✅ 3
Latent Representation and Simulation of Markov Processes via Time-Lagged Information Bottleneck ❌ ❌ ✅ ✅ ✅ ❌ ✅ 4
Latent Trajectory Learning for Limited Timestamps under Distribution Shift over Time ✅ ✅ ✅ ✅ ❌ ✅ ✅ 6
Layer-wise linear mode connectivity ❌ ✅ ✅ ❌ ❌ ❌ ✅ 3
LayoutNUWA: Revealing the Hidden Layout Expertise of Large Language Models ❌ ✅ ✅ ✅ ✅ ❌ ✅ 5
Learning 3D Particle-based Simulators from RGB-D Videos ✅ ❌ ✅ ❌ ❌ ❌ ✅ 3
Learning Adaptive Multiresolution Transforms via Meta-Framelet-based Graph Convolutional Network ✅ ✅ ✅ ✅ ✅ ❌ ✅ 6
Learning Conditional Invariances through Non-Commutativity ❌ ✅ ✅ ❌ ❌ ❌ ❌ 2
Learning Decentralized Partially Observable Mean Field Control for Artificial Collective Behavior ✅ ❌ ❌ ❌ ✅ ✅ ✅ 4
Learning Delays in Spiking Neural Networks using Dilated Convolutions with Learnable Spacings ❌ ✅ ✅ ❌ ❌ ❌ ✅ 3
Learning Energy Decompositions for Partial Inference in GFlowNets ✅ ✅ ✅ ❌ ✅ ❌ ✅ 5
Learning Energy-Based Models by Cooperative Diffusion Recovery Likelihood ✅ ❌ ✅ ❌ ✅ ❌ ✅ 4
Learning Flexible Body Collision Dynamics with Hierarchical Contact Mesh Transformer ❌ ✅ ✅ ✅ ❌ ❌ ✅ 4
Learning From Simplicial Data Based on Random Walks and 1D Convolutions ❌ ✅ ✅ ❌ ❌ ❌ ✅ 3
Learning Grounded Action Abstractions from Language ✅ ✅ ✅ ❌ ❌ ❌ ✅ 4
Learning Hierarchical Image Segmentation For Recognition and By Recognition ✅ ✅ ✅ ✅ ✅ ❌ ✅ 6
Learning Hierarchical Polynomials with Three-Layer Neural Networks ✅ ❌ ❌ ❌ ✅ ❌ ✅ 3
Learning Hierarchical World Models with Adaptive Temporal Abstractions from Discrete Latent Dynamics ✅ ✅ ✅ ❌ ❌ ❌ ✅ 4
Learning Implicit Representation for Reconstructing Articulated Objects ✅ ✅ ✅ ❌ ✅ ❌ ✅ 5
Learning Interactive Real-World Simulators ❌ ❌ ✅ ✅ ✅ ❌ ✅ 4
Learning Large DAGs is Harder than you Think: Many Losses are Minimal for the Wrong DAG ❌ ✅ ✅ ❌ ❌ ❌ ✅ 3
Learning Mean Field Games on Sparse Graphs: A Hybrid Graphex Approach ✅ ✅ ✅ ❌ ❌ ❌ ✅ 4
Learning Multi-Agent Communication from Graph Modeling Perspective ✅ ✅ ✅ ❌ ❌ ❌ ✅ 4
Learning Multi-Agent Communication with Contrastive Learning ❌ ❌ ❌ ❌ ❌ ❌ ✅ 1
Learning Multi-Faceted Prototypical User Interests ✅ ✅ ✅ ✅ ✅ ❌ ✅ 6
Learning Nash Equilibria in Rank-1 Games ✅ ✅ ❌ ❌ ❌ ❌ ❌ 2
Learning No-Regret Sparse Generalized Linear Models with Varying Observation(s) ✅ ✅ ✅ ✅ ✅ ❌ ✅ 6
Learning Optimal Contracts: How to Exploit Small Action Spaces ✅ ❌ ❌ ❌ ❌ ❌ ❌ 1
Learning Over Molecular Conformer Ensembles: Datasets and Benchmarks ❌ ✅ ✅ ✅ ✅ ❌ ✅ 5
Learning Performance-Improving Code Edits ❌ ✅ ✅ ✅ ✅ ✅ ✅ 6
Learning Personalized Causally Invariant Representations for Heterogeneous Federated Clients ✅ ✅ ✅ ✅ ✅ ❌ ✅ 6
Learning Planning Abstractions from Language ❌ ✅ ✅ ❌ ❌ ❌ ✅ 3
Learning Polynomial Problems with $SL(2, \mathbb{R})$-Equivariance ✅ ✅ ❌ ✅ ✅ ❌ ✅ 5
Learning Robust Generalizable Radiance Field with Visibility and Feature Augmented Point Representation ❌ ❌ ✅ ❌ ✅ ❌ ✅ 3
Learning Semantic Proxies from Visual Prompts for Parameter-Efficient Fine-Tuning in Deep Metric Learning ❌ ✅ ✅ ✅ ✅ ❌ ✅ 5
Learning Stackable and Skippable LEGO Bricks for Efficient, Reconfigurable, and Variable-Resolution Diffusion Modeling ❌ ✅ ✅ ❌ ✅ ❌ ✅ 4
Learning Thresholds with Latent Values and Censored Feedback ❌ ❌ ❌ ❌ ❌ ❌ ✅ 1
Learning dynamic representations of the functional connectome in neurobiological networks ❌ ✅ ✅ ❌ ❌ ❌ ✅ 3
Learning from Aggregate responses: Instance Level versus Bag Level Loss Functions ✅ ❌ ✅ ❌ ❌ ❌ ✅ 3
Learning from Label Proportions: Bootstrapping Supervised Learners via Belief Propagation ✅ ❌ ✅ ✅ ✅ ❌ ✅ 5
Learning from Sparse Offline Datasets via Conservative Density Estimation ✅ ✅ ✅ ❌ ✅ ❌ ✅ 5
Learning in reverse causal strategic environments with ramifications on two sided markets ✅ ❌ ❌ ❌ ❌ ✅ ✅ 3
Learning interpretable control inputs and dynamics underlying animal locomotion ❌ ❌ ✅ ✅ ✅ ❌ ✅ 4
Learning invariant representations of time-homogeneous stochastic dynamical systems ✅ ✅ ✅ ✅ ❌ ❌ ✅ 5
Learning model uncertainty as variance-minimizing instance weights ✅ ❌ ✅ ✅ ❌ ❌ ✅ 4
Learning semilinear neural operators: A unified recursive framework for prediction and data assimilation. ❌ ✅ ❌ ❌ ✅ ❌ ✅ 3
Learning the greatest common divisor: explaining transformer predictions ❌ ✅ ❌ ❌ ✅ ❌ ✅ 3
Learning to Act from Actionless Videos through Dense Correspondences ❌ ✅ ✅ ✅ ✅ ❌ ✅ 5
Learning to Act without Actions ❌ ✅ ✅ ❌ ❌ ❌ ✅ 3
Learning to Compose: Improving Object Centric Learning by Injecting Compositionality ❌ ❌ ✅ ✅ ❌ ✅ ✅ 4
Learning to Embed Time Series Patches Independently ❌ ✅ ✅ ✅ ❌ ❌ ✅ 4
Learning to Jointly Understand Visual and Tactile Signals ❌ ❌ ❌ ❌ ✅ ✅ ✅ 3
Learning to Make Adherence-aware Advice ✅ ❌ ❌ ❌ ❌ ❌ ✅ 2
Learning to Reject Meets Long-tail Learning ✅ ❌ ✅ ✅ ❌ ❌ ✅ 4
Learning to Reject with a Fixed Predictor: Application to Decontextualization ❌ ❌ ✅ ✅ ❌ ✅ ✅ 4
Learning to Relax: Setting Solver Parameters Across a Sequence of Linear System Instances ✅ ✅ ❌ ❌ ❌ ❌ ✅ 3
Learning to Solve Bilevel Programs with Binary Tender ✅ ❌ ❌ ❌ ❌ ❌ ✅ 2
Learning to design protein-protein interactions with enhanced generalization ✅ ✅ ✅ ✅ ✅ ❌ ✅ 6
Learning to solve Class-Constrained Bin Packing Problems via Encoder-Decoder Model ✅ ❌ ❌ ❌ ✅ ❌ ✅ 3
Learning with Language-Guided State Abstractions ❌ ❌ ✅ ❌ ✅ ❌ ✅ 3
Learning with Mixture of Prototypes for Out-of-Distribution Detection ✅ ✅ ✅ ❌ ✅ ❌ ✅ 5
Learning with a Mole: Transferable latent spatial representations for navigation without reconstruction ❌ ❌ ✅ ✅ ❌ ❌ ✅ 3
Leave-one-out Distinguishability in Machine Learning ❌ ✅ ✅ ✅ ❌ ❌ ✅ 4
Leftover Lunch: Advantage-based Offline Reinforcement Learning for Language Models ✅ ✅ ✅ ✅ ✅ ❌ ✅ 6
Lemur: Harmonizing Natural Language and Code for Language Agents ❌ ✅ ✅ ❌ ✅ ❌ ✅ 4
Lemur: Integrating Large Language Models in Automated Program Verification ✅ ✅ ✅ ❌ ❌ ❌ ✅ 4
Less is More: Fewer Interpretable Region via Submodular Subset Selection ✅ ✅ ✅ ✅ ✅ ❌ ✅ 6
Less is More: One-shot Subgraph Reasoning on Large-scale Knowledge Graphs ✅ ✅ ✅ ✅ ✅ ❌ ✅ 6
Less or More From Teacher: Exploiting Trilateral Geometry For Knowledge Distillation ❌ ✅ ✅ ✅ ✅ ❌ ✅ 5
Let 2D Diffusion Model Know 3D-Consistency for Robust Text-to-3D Generation ❌ ✅ ✅ ❌ ❌ ❌ ✅ 3
Let Models Speak Ciphers: Multiagent Debate through Embeddings ✅ ❌ ✅ ✅ ✅ ❌ ✅ 5
Let's Verify Step by Step ❌ ✅ ✅ ✅ ❌ ❌ ✅ 4
Let's do the time-warp-attend: Learning topological invariants of dynamical systems ❌ ✅ ✅ ❌ ✅ ✅ ✅ 5
Leveraging Generative Models for Unsupervised Alignment of Neural Time Series Data ❌ ✅ ✅ ❌ ❌ ❌ ✅ 3
Leveraging Hyperbolic Embeddings for Coarse-to-Fine Robot Design ✅ ✅ ✅ ❌ ✅ ❌ ✅ 5
Leveraging Low-Rank and Sparse Recurrent Connectivity for Robust Closed-Loop Control ❌ ❌ ✅ ✅ ❌ ❌ ✅ 3
Leveraging Optimization for Adaptive Attacks on Image Watermarks ✅ ❌ ✅ ❌ ✅ ❌ ✅ 4
Leveraging Uncertainty Estimates To Improve Classifier Performance ✅ ❌ ✅ ✅ ✅ ❌ ✅ 5
Leveraging Unpaired Data for Vision-Language Generative Models via Cycle Consistency ❌ ✅ ✅ ✅ ✅ ❌ ✅ 5
Leveraging augmented-Lagrangian techniques for differentiating over infeasible quadratic programs in machine learning ❌ ✅ ✅ ❌ ✅ ❌ ✅ 4
Lewis's Signaling Game as beta-VAE For Natural Word Lengths and Segments ✅ ✅ ✅ ❌ ❌ ❌ ✅ 4
LiDAR-PTQ: Post-Training Quantization for Point Cloud 3D Object Detection ✅ ✅ ✅ ✅ ✅ ❌ ✅ 6
LiDAR: Sensing Linear Probing Performance in Joint Embedding SSL Architectures ❌ ❌ ✅ ✅ ❌ ❌ ✅ 3
Lie Group Decompositions for Equivariant Neural Networks ❌ ✅ ✅ ❌ ❌ ❌ ✅ 3
Lifting Architectural Constraints of Injective Flows ❌ ✅ ✅ ✅ ✅ ✅ ✅ 6
Light Schrödinger Bridge ❌ ✅ ✅ ❌ ❌ ❌ ✅ 3
Light-MILPopt: Solving Large-scale Mixed Integer Linear Programs with Lightweight Optimizer and Small-scale Training Dataset ✅ ✅ ✅ ❌ ✅ ✅ ❌ 5
LightHGNN: Distilling Hypergraph Neural Networks into MLPs for 100x Faster Inference ✅ ❌ ✅ ✅ ✅ ❌ ✅ 5
Like Oil and Water: Group Robustness Methods and Poisoning Defenses May Be at Odds ❌ ❌ ✅ ✅ ❌ ❌ ✅ 3
Likelihood Training of Cascaded Diffusion Models via Hierarchical Volume-preserving Maps ❌ ✅ ✅ ❌ ✅ ❌ ✅ 4
Linear Log-Normal Attention with Unbiased Concentration ❌ ✅ ✅ ❌ ❌ ❌ ✅ 3
Linear attention is (maybe) all you need (to understand Transformer optimization) ❌ ❌ ❌ ❌ ❌ ❌ ✅ 1
Linearity of Relation Decoding in Transformer Language Models ❌ ✅ ✅ ❌ ✅ ❌ ✅ 4
Lion Secretly Solves a Constrained Optimization: As Lyapunov Predicts ❌ ❌ ✅ ❌ ❌ ❌ ✅ 2
LipSim: A Provably Robust Perceptual Similarity Metric ❌ ❌ ✅ ❌ ❌ ❌ ✅ 2
LipVoicer: Generating Speech from Silent Videos Guided by Lip Reading ✅ ✅ ✅ ❌ ✅ ❌ ✅ 5
Lipschitz Singularities in Diffusion Models ✅ ❌ ✅ ❌ ✅ ❌ ✅ 4
Lipsum-FT: Robust Fine-Tuning of Zero-Shot Models Using Random Text Guidance ❌ ✅ ✅ ✅ ✅ ❌ ✅ 5
Listen, Think, and Understand ❌ ✅ ✅ ✅ ✅ ❌ ✅ 5
LitCab: Lightweight Language Model Calibration over Short- and Long-form Responses ❌ ✅ ✅ ✅ ✅ ❌ ✅ 5
Llemma: An Open Language Model for Mathematics ❌ ✅ ✅ ✅ ✅ ❌ ✅ 5
LoTa-Bench: Benchmarking Language-oriented Task Planners for Embodied Agents ❌ ✅ ✅ ✅ ✅ ❌ ✅ 5
Local Composite Saddle Point Optimization ✅ ❌ ✅ ❌ ❌ ❌ ✅ 3
Local Graph Clustering with Noisy Labels ❌ ❌ ✅ ✅ ✅ ❌ ✅ 4
Local Search GFlowNets ✅ ✅ ✅ ❌ ❌ ❌ ✅ 4
Locality Sensitive Sparse Encoding for Learning World Models Online ✅ ✅ ✅ ✅ ❌ ❌ ✅ 5
Locality-Aware Graph Rewiring in GNNs ✅ ✅ ✅ ✅ ✅ ❌ ✅ 6
Localizing and Editing Knowledge In Text-to-Image Generative Models ❌ ✅ ✅ ❌ ❌ ❌ ✅ 3
LoftQ: LoRA-Fine-Tuning-aware Quantization for Large Language Models ✅ ✅ ✅ ✅ ✅ ❌ ✅ 6
LogicMP: A Neuro-symbolic Approach for Encoding First-order Logic Constraints ✅ ✅ ✅ ❌ ✅ ❌ ✅ 5
Logical Languages Accepted by Transformer Encoders with Hard Attention ❌ ❌ ❌ ❌ ❌ ❌ ❌ 0
Long-Short-Range Message-Passing: A Physics-Informed Framework to Capture Non-Local Interaction for Scalable Molecular Dynamics Simulation ✅ ✅ ✅ ✅ ✅ ❌ ✅ 6
Long-Term Typhoon Trajectory Prediction: A Physics-Conditioned Approach Without Reanalysis Data ❌ ✅ ✅ ✅ ✅ ❌ ✅ 5
Long-tailed Diffusion Models with Oriented Calibration ✅ ✅ ✅ ✅ ❌ ❌ ✅ 5
LongLoRA: Efficient Fine-tuning of Long-Context Large Language Models ✅ ✅ ✅ ✅ ✅ ❌ ✅ 6
Look, Remember and Reason: Grounded Reasoning in Videos with Language Models ❌ ❌ ✅ ❌ ✅ ❌ ✅ 3
Looped Transformers are Better at Learning Learning Algorithms ❌ ✅ ✅ ✅ ❌ ❌ ✅ 4
Low Rank Matrix Completion via Robust Alternating Minimization in Nearly Linear Time ✅ ❌ ❌ ❌ ❌ ❌ ❌ 1
M3C: A Framework towards Convergent, Flexible, and Unsupervised Learning of Mixture Graph Matching and Clustering ✅ ✅ ✅ ✅ ✅ ✅ ✅ 7
MAMBA: an Effective World Model Approach for Meta-Reinforcement Learning ❌ ✅ ✅ ❌ ✅ ❌ ✅ 4
MAP IT to Visualize Representations ❌ ✅ ✅ ❌ ❌ ❌ ✅ 3
MAPE-PPI: Towards Effective and Efficient Protein-Protein Interaction Prediction via Microenvironment-Aware Protein Embedding ✅ ✅ ✅ ✅ ✅ ✅ ✅ 7
MAmmoTH: Building Math Generalist Models through Hybrid Instruction Tuning ❌ ❌ ✅ ❌ ❌ ❌ ✅ 2
MBR and QE Finetuning: Training-time Distillation of the Best and Most Expensive Decoding Methods ❌ ❌ ✅ ✅ ✅ ❌ ✅ 4
MCM: Masked Cell Modeling for Anomaly Detection in Tabular Data ❌ ✅ ✅ ❌ ✅ ✅ ✅ 5
MEND: Meta Demonstration Distillation for Efficient and Effective In-Context Learning ❌ ✅ ✅ ✅ ✅ ✅ ✅ 6
MERT: Acoustic Music Understanding Model with Large-Scale Self-supervised Training ✅ ❌ ✅ ✅ ✅ ❌ ✅ 5
METRA: Scalable Unsupervised RL with Metric-Aware Abstraction ✅ ✅ ✅ ❌ ✅ ❌ ✅ 5
MG-TSD: Multi-Granularity Time Series Diffusion Models with Guided Learning Process ✅ ✅ ✅ ❌ ✅ ❌ ✅ 5
MINDE: Mutual Information Neural Diffusion Estimation ✅ ✅ ✅ ❌ ❌ ❌ ✅ 4
MINT: Evaluating LLMs in Multi-turn Interaction with Tools and Language Feedback ❌ ✅ ✅ ❌ ❌ ❌ ✅ 3
MIntRec2.0: A Large-scale Benchmark Dataset for Multimodal Intent Recognition and Out-of-scope Detection in Conversations ❌ ✅ ✅ ✅ ✅ ✅ ✅ 6
MMD Graph Kernel: Effective Metric Learning for Graphs via Maximum Mean Discrepancy ✅ ✅ ✅ ✅ ❌ ❌ ✅ 5
MMICL: Empowering Vision-language Model with Multi-Modal In-Context Learning ✅ ✅ ✅ ✅ ✅ ❌ ✅ 6
MOFDiff: Coarse-grained Diffusion for Metal-Organic Framework Design ✅ ✅ ✅ ✅ ❌ ✅ ✅ 6
MOFI: Learning Image Representations from Noisy Entity Annotated Images ❌ ✅ ✅ ✅ ❌ ❌ ✅ 4
MOTOR: A Time-to-Event Foundation Model For Structured Medical Records ❌ ✅ ✅ ✅ ✅ ✅ ✅ 6
MT-Ranker: Reference-free machine translation evaluation by inter-system ranking ❌ ✅ ✅ ✅ ✅ ❌ ✅ 5
MUFFIN: Curating Multi-Faceted Instructions for Improving Instruction Following ❌ ✅ ✅ ✅ ✅ ✅ ✅ 6
MUSTARD: Mastering Uniform Synthesis of Theorem and Proof Data ✅ ✅ ✅ ✅ ❌ ❌ ✅ 5
MVDream: Multi-view Diffusion for 3D Generation ✅ ❌ ✅ ✅ ✅ ✅ ✅ 6
MVSFormer++: Revealing the Devil in Transformer's Details for Multi-View Stereo ❌ ✅ ✅ ✅ ✅ ❌ ✅ 5
MaGIC: Multi-modality Guided Image Completion ✅ ❌ ✅ ✅ ✅ ❌ ✅ 5
Machine Unlearning for Image-to-Image Generative Models ✅ ✅ ✅ ✅ ✅ ❌ ✅ 6
Magic123: One Image to High-Quality 3D Object Generation Using Both 2D and 3D Diffusion Priors ❌ ✅ ✅ ❌ ✅ ✅ ✅ 5
MagicDrive: Street View Generation with Diverse 3D Geometry Control ❌ ✅ ✅ ✅ ✅ ❌ ✅ 5
Magnitude Invariant Parametrizations Improve Hypernetwork Learning ❌ ✅ ✅ ✅ ❌ ❌ ✅ 4
Magnushammer: A Transformer-Based Approach to Premise Selection ✅ ❌ ✅ ✅ ✅ ❌ ✅ 5
Making LLaMA SEE and Draw with SEED Tokenizer ❌ ✅ ✅ ✅ ✅ ❌ ✅ 5
Making Pre-trained Language Models Great on Tabular Prediction ❌ ✅ ✅ ✅ ✅ ✅ ✅ 6
Making RL with Preference-based Feedback Efficient via Randomization ✅ ❌ ❌ ❌ ❌ ❌ ❌ 1
Making Retrieval-Augmented Language Models Robust to Irrelevant Context ❌ ✅ ✅ ❌ ❌ ❌ ✅ 3
Manifold Diffusion Fields ✅ ❌ ✅ ✅ ✅ ❌ ✅ 5
Manifold Preserving Guided Diffusion ✅ ✅ ✅ ❌ ✅ ❌ ✅ 5
Manipulating dropout reveals an optimal balance of efficiency and robustness in biological and machine visual systems ❌ ❌ ✅ ✅ ✅ ❌ ✅ 4
Mask-Based Modeling for Neural Radiance Fields ❌ ✅ ✅ ❌ ✅ ❌ ✅ 4
Masked Audio Generation using a Single Non-Autoregressive Transformer ✅ ❌ ✅ ✅ ✅ ❌ ✅ 5
Masked Autoencoders with Multi-Window Local-Global Attention Are Better Audio Learners ✅ ✅ ✅ ✅ ✅ ❌ ✅ 6
Masked Completion via Structured Diffusion with White-Box Transformers ✅ ✅ ✅ ❌ ❌ ❌ ✅ 4
Masked Distillation Advances Self-Supervised Transformer Architecture Search ✅ ❌ ✅ ✅ ❌ ❌ ✅ 4
Masked Structural Growth for 2x Faster Language Model Pre-training ❌ ✅ ✅ ✅ ✅ ❌ ✅ 5
Masks, Signs, And Learning Rate Rewinding ❌ ❌ ✅ ❌ ✅ ❌ ✅ 3
Massive Editing for Large Language Models via Meta Learning ✅ ✅ ✅ ✅ ✅ ❌ ✅ 6
Massively Scalable Inverse Reinforcement Learning in Google Maps ✅ ❌ ❌ ✅ ✅ ❌ ✅ 4
Mastering Memory Tasks with World Models ✅ ✅ ✅ ❌ ✅ ❌ ✅ 5
Mastering Symbolic Operations: Augmenting Language Models with Compiled Neural Networks ✅ ✅ ✅ ✅ ✅ ❌ ✅ 6
Matcher: Segment Anything with One Shot Using All-Purpose Feature Matching ❌ ✅ ✅ ✅ ❌ ❌ ✅ 4
MathCoder: Seamless Code Integration in LLMs for Enhanced Mathematical Reasoning ❌ ❌ ✅ ❌ ✅ ❌ ✅ 3
MathVista: Evaluating Mathematical Reasoning of Foundation Models in Visual Contexts ✅ ❌ ✅ ✅ ❌ ❌ ✅ 4
Mathematical Justification of Hard Negative Mining via Isometric Approximation Theorem ❌ ❌ ✅ ❌ ❌ ❌ ✅ 2
Matrix Manifold Neural Networks++ ✅ ❌ ✅ ✅ ✅ ❌ ✅ 5
Matryoshka Diffusion Models ✅ ✅ ✅ ✅ ✅ ❌ ✅ 6
Maximum Entropy Heterogeneous-Agent Reinforcement Learning ✅ ❌ ✅ ❌ ❌ ❌ ✅ 3
Maximum Entropy Model Correction in Reinforcement Learning ✅ ❌ ✅ ❌ ❌ ❌ ✅ 3
Maximum Likelihood Estimation is All You Need for Well-Specified Covariate Shift ❌ ❌ ❌ ❌ ❌ ❌ ❌ 0
Mayfly: a Neural Data Structure for Graph Stream Summarization ✅ ✅ ✅ ❌ ✅ ❌ ✅ 5
Mean Field Theory in Deep Metric Learning ✅ ❌ ✅ ✅ ✅ ❌ ✅ 5
Meaning Representations from Trajectories in Autoregressive Models ✅ ✅ ✅ ✅ ❌ ❌ ✅ 5
Measuring Vision-Language STEM Skills of Neural Models ❌ ✅ ✅ ✅ ✅ ❌ ✅ 5
Mechanistically analyzing the effects of fine-tuning on procedurally defined tasks ✅ ❌ ✅ ❌ ❌ ❌ ✅ 3
Mediator Interpretation and Faster Learning Algorithms for Linear Correlated Equilibria in General Sequential Games ❌ ❌ ✅ ❌ ✅ ❌ ❌ 2
Mega-TTS 2: Boosting Prompting Mechanisms for Zero-Shot Speech Synthesis ❌ ❌ ✅ ✅ ✅ ❌ ✅ 4
Memorization Capacity of Multi-Head Attention in Transformers ❌ ✅ ✅ ❌ ✅ ❌ ✅ 4
Memorization in Self-Supervised Learning Improves Downstream Generalization ❌ ❌ ✅ ✅ ✅ ❌ ✅ 4
Memory-Assisted Sub-Prototype Mining for Universal Domain Adaptation ❌ ❌ ✅ ❌ ✅ ❌ ✅ 3
Memory-Consistent Neural Networks for Imitation Learning ✅ ✅ ✅ ❌ ✅ ❌ ✅ 5
Merge, Then Compress: Demystify Efficient SMoE with Hints from Its Routing Policy ✅ ✅ ✅ ✅ ✅ ❌ ✅ 6
Meta Continual Learning Revisited: Implicitly Enhancing Online Hessian Approximation via Variance Reduction ✅ ✅ ✅ ✅ ❌ ❌ ✅ 5
Meta Inverse Constrained Reinforcement Learning: Convergence Guarantee and Generalization Analysis ✅ ❌ ❌ ✅ ❌ ❌ ✅ 3
Meta-Evolve: Continuous Robot Evolution for One-to-many Policy Transfer ✅ ❌ ✅ ❌ ❌ ✅ ✅ 4
Meta-Learning Priors Using Unrolled Proximal Networks ✅ ✅ ✅ ✅ ✅ ❌ ✅ 6
Meta-VBO: Utilizing Prior Tasks in Optimizing Risk Measures with Gaussian Processes ❌ ❌ ✅ ❌ ❌ ❌ ✅ 2
MetaCoCo: A New Few-Shot Classification Benchmark with Spurious Correlation ❌ ✅ ✅ ✅ ❌ ❌ ❌ 3
MetaGPT: Meta Programming for A Multi-Agent Collaborative Framework ❌ ✅ ✅ ❌ ❌ ❌ ✅ 3
MetaMath: Bootstrap Your Own Mathematical Questions for Large Language Models ❌ ✅ ✅ ❌ ✅ ❌ ✅ 4
MetaPhysiCa: Improving OOD Robustness in Physics-informed Machine Learning ❌ ✅ ❌ ✅ ❌ ❌ ✅ 3
MetaTool Benchmark for Large Language Models: Deciding Whether to Use Tools and Which to Use ❌ ✅ ✅ ❌ ❌ ❌ ✅ 3
MgNO: Efficient Parameterization of Linear Operators via Multigrid ✅ ✅ ✅ ✅ ✅ ❌ ✅ 6
Mind Your Augmentation: The Key to Decoupling Dense Self-Supervised Learning ✅ ✅ ✅ ✅ ✅ ❌ ✅ 6
MiniGPT-4: Enhancing Vision-Language Understanding with Advanced Large Language Models ❌ ✅ ✅ ❌ ✅ ❌ ✅ 4
MiniLLM: Knowledge Distillation of Large Language Models ✅ ✅ ✅ ✅ ✅ ❌ ✅ 6
Minimax optimality of convolutional neural networks for infinite dimensional input-output problems and separation from kernel methods ❌ ❌ ❌ ❌ ❌ ❌ ❌ 0
Minimum width for universal approximation using ReLU networks on compact domain ❌ ❌ ❌ ❌ ❌ ❌ ❌ 0
Mirage: Model-agnostic Graph Distillation for Graph Classification ✅ ✅ ✅ ✅ ✅ ❌ ✅ 6
Mitigating Emergent Robustness Degradation while Scaling Graph Learning ❌ ✅ ✅ ✅ ✅ ❌ ✅ 5
Mitigating Hallucination in Large Multi-Modal Models via Robust Instruction Tuning ❌ ✅ ✅ ❌ ✅ ❌ ❌ 3
Mitigating the Curse of Dimensionality for Certified Robustness via Dual Randomized Smoothing ✅ ✅ ✅ ✅ ❌ ❌ ✅ 5
MixSATGEN: Learning Graph Mixing for SAT Instance Generation ✅ ✅ ✅ ❌ ✅ ❌ ✅ 5
MixSup: Mixed-grained Supervision for Label-efficient LiDAR-based 3D Object Detection ❌ ✅ ✅ ✅ ✅ ❌ ❌ 4
Mixed-Type Tabular Data Synthesis with Score-based Diffusion in Latent Space ✅ ✅ ✅ ✅ ✅ ❌ ✅ 6
Mixture of LoRA Experts ❌ ✅ ✅ ❌ ❌ ❌ ✅ 3
Mixture of Weak and Strong Experts on Graphs ✅ ✅ ✅ ✅ ✅ ❌ ✅ 6
Mixture-of-Experts Meets Instruction Tuning: A Winning Combination for Large Language Models ❌ ❌ ✅ ✅ ✅ ❌ ✅ 4
Model Merging by Uncertainty-Based Gradient Matching ❌ ❌ ✅ ❌ ❌ ❌ ✅ 2
Model Tells You What to Discard: Adaptive KV Cache Compression for LLMs ✅ ✅ ✅ ❌ ✅ ❌ ✅ 5
Modeling Boundedly Rational Agents with Latent Inference Budgets ❌ ❌ ✅ ✅ ❌ ❌ ✅ 3
Modeling state-dependent communication between brain regions with switching nonlinear dynamical systems ✅ ❌ ✅ ✅ ✅ ❌ ✅ 5
Modelling complex vector drawings with stroke-clouds ❌ ✅ ✅ ❌ ✅ ❌ ✅ 4
ModernTCN: A Modern Pure Convolution Structure for General Time Series Analysis ❌ ✅ ✅ ✅ ✅ ❌ ✅ 5
Modulate Your Spectrum in Self-Supervised Learning ✅ ✅ ✅ ❌ ✅ ❌ ✅ 5
Modulated Phase Diffusor: Content-Oriented Feature Synthesis for Detecting Unknown Objects ✅ ✅ ✅ ❌ ❌ ❌ ✅ 4
MogaNet: Multi-order Gated Aggregation Network ❌ ✅ ✅ ✅ ✅ ❌ ✅ 5
Mol-Instructions: A Large-Scale Biomolecular Instruction Dataset for Large Language Models ❌ ✅ ✅ ✅ ✅ ❌ ✅ 5
Momentum Benefits Non-iid Federated Learning Simply and Provably ✅ ❌ ✅ ❌ ❌ ❌ ✅ 3
Monte Carlo guided Denoising Diffusion models for Bayesian linear inverse problems. ✅ ✅ ✅ ❌ ❌ ❌ ✅ 4
More is Better: when Infinite Overparameterization is Optimal and Overfitting is Obligatory ❌ ✅ ✅ ❌ ✅ ❌ ✅ 4
Most discriminative stimuli for functional cell type clustering ✅ ✅ ✅ ✅ ❌ ❌ ✅ 5
Motif: Intrinsic Motivation from Artificial Intelligence Feedback ❌ ✅ ✅ ✅ ✅ ❌ ✅ 5
Motion Guidance: Diffusion-Based Image Editing with Differentiable Motion Estimators ❌ ✅ ✅ ❌ ✅ ✅ ✅ 5
MovingParts: Motion-based 3D Part Discovery in Dynamic Radiance Field ❌ ❌ ✅ ❌ ✅ ❌ ✅ 3
MuSR: Testing the Limits of Chain-of-thought with Multistep Soft Reasoning ✅ ✅ ✅ ❌ ✅ ❌ ❌ 4
MuSc: Zero-Shot Industrial Anomaly Classification and Segmentation with Mutual Scoring of the Unlabeled Images ❌ ✅ ✅ ❌ ✅ ❌ ✅ 4
Multi-Resolution Diffusion Models for Time Series Forecasting ✅ ❌ ✅ ❌ ✅ ❌ ✅ 4
Multi-Scale Representations by Varying Window Attention for Semantic Segmentation ❌ ✅ ✅ ✅ ✅ ❌ ✅ 5
Multi-Source Diffusion Models for Simultaneous Music Generation and Separation ✅ ✅ ✅ ✅ ✅ ✅ ✅ 7
Multi-Task Reinforcement Learning with Mixture of Orthogonal Experts ✅ ✅ ✅ ❌ ❌ ❌ ✅ 4
Multi-View Causal Representation Learning with Partial Observability ❌ ✅ ✅ ❌ ❌ ❌ ✅ 3
Multi-View Representation is What You Need for Point-Cloud Pre-Training ❌ ❌ ✅ ✅ ✅ ❌ ✅ 4
Multi-granularity Correspondence Learning from Long-term Noisy Videos ❌ ✅ ✅ ❌ ✅ ✅ ✅ 5
Multi-modal Gaussian Process Variational Autoencoders for Neural and Behavioral Data ❌ ✅ ✅ ✅ ✅ ❌ ✅ 5
Multi-resolution HuBERT: Multi-resolution Speech Self-Supervised Learning with Masked Unit Prediction ❌ ✅ ✅ ✅ ✅ ❌ ✅ 5
Multi-task Learning with 3D-Aware Regularization ❌ ✅ ✅ ❌ ❌ ❌ ✅ 3
Multilinear Operator Networks ❌ ✅ ✅ ✅ ✅ ❌ ✅ 5
Multilingual Jailbreak Challenges in Large Language Models ✅ ❌ ✅ ❌ ❌ ❌ ✅ 3
Multimarginal Generative Modeling with Stochastic Interpolants ✅ ❌ ✅ ❌ ❌ ❌ ✅ 3
Multimodal Learning Without Labeled Multimodal Data: Guarantees and Applications ❌ ✅ ✅ ❌ ✅ ❌ ✅ 4
Multimodal Molecular Pretraining via Modality Blending ❌ ❌ ✅ ✅ ❌ ❌ ✅ 3
Multimodal Patient Representation Learning with Missing Modalities and Labels ✅ ✅ ✅ ✅ ✅ ✅ ✅ 7
Multimodal Web Navigation with Instruction-Finetuned Foundation Models ❌ ✅ ✅ ❌ ✅ ❌ ✅ 4
Multiscale Positive-Unlabeled Detection of AI-Generated Texts ❌ ✅ ✅ ✅ ✅ ❌ ✅ 5
Multisize Dataset Condensation ✅ ✅ ✅ ✅ ❌ ❌ ✅ 5
NECO: NEural Collapse Based Out-of-distribution detection ✅ ✅ ✅ ❌ ❌ ❌ ✅ 4
NEFTune: Noisy Embeddings Improve Instruction Finetuning ✅ ✅ ✅ ❌ ✅ ❌ ✅ 5
NOLA: Compressing LoRA using Linear Combination of Random Basis ❌ ✅ ✅ ✅ ✅ ❌ ✅ 5
NaturalSpeech 2: Latent Diffusion Models are Natural and Zero-Shot Speech and Singing Synthesizers ❌ ❌ ✅ ❌ ✅ ❌ ✅ 3
Navigating Dataset Documentations in AI: A Large-Scale Analysis of Dataset Cards on HuggingFace ❌ ✅ ✅ ❌ ❌ ❌ ❌ 2
Navigating Text-To-Image Customization: From LyCORIS Fine-Tuning to Model Evaluation ❌ ✅ ✅ ❌ ❌ ❌ ✅ 3
Navigating the Design Space of Equivariant Diffusion-Based Generative Models for De Novo 3D Molecule Generation ❌ ❌ ✅ ✅ ✅ ❌ ✅ 4
NeRM: Learning Neural Representations for High-Framerate Human Motion Synthesis ✅ ❌ ✅ ❌ ✅ ✅ ✅ 5
Near-Optimal Quantum Algorithm for Minimizing the Maximal Loss ✅ ❌ ❌ ❌ ❌ ❌ ❌ 1
Near-Optimal Solutions of Constrained Learning Problems ✅ ❌ ✅ ❌ ❌ ❌ ✅ 3
Nearly $d$-Linear Convergence Bounds for Diffusion Models via Stochastic Localization ❌ ❌ ❌ ❌ ❌ ❌ ❌ 0
Negative Label Guided OOD Detection with Pretrained Vision-Language Models ✅ ✅ ✅ ✅ ✅ ✅ ✅ 7
Negatively Correlated Ensemble Reinforcement Learning for Online Diverse Game Level Generation ✅ ✅ ✅ ❌ ✅ ❌ ✅ 5
Nemesis: Normalizing the Soft-prompt Vectors of Vision-Language Models ✅ ✅ ✅ ❌ ❌ ❌ ✅ 4
NetInfoF Framework: Measuring and Exploiting Network Usable Information ✅ ✅ ✅ ✅ ✅ ❌ ✅ 6
Network Memory Footprint Compression Through Jointly Learnable Codebooks and Mappings ✅ ❌ ✅ ✅ ✅ ✅ ✅ 6
Neur2RO: Neural Two-Stage Robust Optimization ✅ ✅ ✅ ✅ ✅ ✅ ✅ 7
NeurRev: Train Better Sparse Neural Network Practically via Neuron Revitalization ✅ ✅ ✅ ❌ ✅ ❌ ✅ 5
Neural Active Learning Beyond Bandits ✅ ❌ ✅ ✅ ❌ ❌ ✅ 4
Neural Architecture Retrieval ✅ ❌ ✅ ❌ ❌ ❌ ✅ 3
Neural Atoms: Propagating Long-range Interaction in Molecular Graphs through Efficient Communication Channel ✅ ✅ ✅ ❌ ✅ ❌ ✅ 5
Neural Auto-designer for Enhanced Quantum Kernels ✅ ✅ ✅ ✅ ✅ ❌ ✅ 6
Neural Common Neighbor with Completion for Link Prediction ❌ ✅ ✅ ✅ ✅ ❌ ✅ 5
Neural Contractive Dynamical Systems ✅ ❌ ✅ ❌ ❌ ❌ ✅ 3
Neural Field Classifiers via Target Encoding and Classification Loss ❌ ✅ ✅ ✅ ✅ ❌ ✅ 5
Neural Fine-Tuning Search for Few-Shot Learning ✅ ✅ ✅ ✅ ❌ ❌ ✅ 5
Neural Fourier Transform: A General Approach to Equivariant Representation Learning ✅ ✅ ✅ ✅ ✅ ❌ ✅ 6
Neural Language of Thought Models ❌ ❌ ✅ ✅ ✅ ❌ ✅ 4
Neural Neighborhood Search for Multi-agent Path Finding ❌ ❌ ✅ ✅ ✅ ❌ ✅ 4
Neural Network-Based Score Estimation in Diffusion Models: Optimization and Generalization ✅ ❌ ❌ ❌ ❌ ❌ ❌ 1
Neural Optimal Transport with General Cost Functionals ✅ ✅ ✅ ❌ ✅ ❌ ✅ 5
Neural Polynomial Gabor Fields for Macro Motion Analysis ❌ ❌ ❌ ❌ ✅ ❌ ❌ 1
Neural Processing of Tri-Plane Hybrid Neural Fields ❌ ✅ ✅ ✅ ✅ ❌ ✅ 5
Neural Rate Control for Learned Video Compression ❌ ❌ ✅ ❌ ❌ ❌ ✅ 2
Neural SDF Flow for 3D Reconstruction of Dynamic Scenes ❌ ✅ ✅ ❌ ✅ ❌ ✅ 4
Neural Snowflakes: Universal Latent Graph Inference via Trainable Latent Geometries ❌ ❌ ✅ ❌ ❌ ❌ ✅ 2
Neural Spectral Methods: Self-supervised learning in the spectral domain ❌ ✅ ❌ ❌ ❌ ❌ ✅ 2
Neural structure learning with stochastic differential equations ✅ ✅ ✅ ❌ ❌ ❌ ❌ 3
Neural-Symbolic Recursive Machine for Systematic Generalization ✅ ❌ ✅ ✅ ✅ ❌ ✅ 5
Neuro-Inspired Information-Theoretic Hierarchical Perception for Multimodal Learning ✅ ✅ ✅ ✅ ✅ ❌ ✅ 6
NeuroBack: Improving CDCL SAT Solving using Graph Neural Networks ❌ ✅ ✅ ✅ ✅ ❌ ✅ 5
Neuroformer: Multimodal and Multitask Generative Pretraining for Brain Data ❌ ✅ ❌ ❌ ❌ ❌ ✅ 2
Neuron Activation Coverage: Rethinking Out-of-distribution Detection and Generalization ❌ ✅ ✅ ✅ ✅ ✅ ✅ 6
Neuron-Enhanced AutoEncoder Matrix Completion and Collaborative Filtering: Theory and Practice ❌ ❌ ✅ ✅ ❌ ❌ ✅ 3
Neurosymbolic Grounding for Compositional World Models ✅ ✅ ✅ ✅ ✅ ❌ ✅ 6
Never Train from Scratch: Fair Comparison of Long-Sequence Models Requires Data-Driven Priors ❌ ✅ ✅ ✅ ✅ ❌ ✅ 5
New Insight of Variance reduce in Zero-Order Hard-Thresholding: Mitigating Gradient Error and Expansivity Contradictions ✅ ❌ ✅ ❌ ✅ ❌ ✅ 4
NfgTransformer: Equivariant Representation Learning for Normal-form Games ❌ ✅ ❌ ❌ ❌ ❌ ✅ 2
Node2ket: Efficient High-Dimensional Network Embedding in Quantum Hilbert Space ✅ ✅ ✅ ✅ ✅ ❌ ✅ 6
Noise Map Guidance: Inversion with Spatial Context for Real Image Editing ❌ ✅ ✅ ✅ ❌ ❌ ✅ 4
Noise-free Score Distillation ❌ ❌ ✅ ❌ ❌ ❌ ✅ 2
NoiseDiffusion: Correcting Noise for Image Interpolation with Diffusion Models beyond Spherical Linear Interpolation ❌ ✅ ✅ ❌ ❌ ❌ ✅ 3
Noisy Interpolation Learning with Shallow Univariate ReLU Networks ❌ ❌ ❌ ❌ ❌ ❌ ❌ 0
Non-Exchangeable Conformal Risk Control ❌ ✅ ✅ ✅ ❌ ❌ ✅ 4
Non-negative Contrastive Learning ❌ ✅ ✅ ❌ ❌ ❌ ✅ 3
Nougat: Neural Optical Understanding for Academic Documents ❌ ✅ ✅ ❌ ✅ ❌ ✅ 4
Novel Quadratic Constraints for Extending LipSDP beyond Slope-Restricted Activations ❌ ✅ ✅ ❌ ❌ ✅ ❌ 3
NuwaDynamics: Discovering and Updating in Causal Spatio-Temporal Modeling ❌ ✅ ✅ ❌ ✅ ❌ ✅ 4
ODE Discovery for Longitudinal Heterogeneous Treatment Effects Inference ✅ ✅ ✅ ✅ ✅ ❌ ✅ 6
ODEFormer: Symbolic Regression of Dynamical Systems with Transformers ❌ ✅ ✅ ✅ ✅ ❌ ✅ 5
ODICE: Revealing the Mystery of Distribution Correction Estimation via Orthogonal-gradient Update ✅ ✅ ✅ ❌ ❌ ❌ ✅ 4
OMNI: Open-endedness via Models of human Notions of Interestingness ✅ ❌ ✅ ❌ ✅ ❌ ✅ 4
OPTIMAL ROBUST MEMORIZATION WITH RELU NEURAL NETWORKS ❌ ❌ ❌ ❌ ❌ ❌ ❌ 0
OVOR: OnePrompt with Virtual Outlier Regularization for Rehearsal-Free Class-Incremental Learning ✅ ✅ ✅ ❌ ❌ ❌ ✅ 4
OWL: A Large Language Model for IT Operations ❌ ✅ ✅ ✅ ❌ ❌ ✅ 4
Object centric architectures enable efficient causal representation learning ❌ ✅ ❌ ✅ ✅ ❌ ✅ 4
Object-Aware Inversion and Reassembly for Image Editing ❌ ❌ ❌ ❌ ✅ ❌ ✅ 2
Object-Centric Learning with Slot Mixture Module ✅ ✅ ✅ ✅ ❌ ❌ ✅ 5
Octavius: Mitigating Task Interference in MLLMs via LoRA-MoE ❌ ✅ ✅ ❌ ✅ ❌ ✅ 4
OctoPack: Instruction Tuning Code Large Language Models ❌ ✅ ✅ ❌ ❌ ❌ ❌ 2
Off-Policy Primal-Dual Safe Reinforcement Learning ✅ ✅ ✅ ❌ ❌ ❌ ✅ 4
Offline Data Enhanced On-Policy Policy Gradient with Provable Guarantees ✅ ✅ ✅ ❌ ❌ ❌ ✅ 4
Offline RL with Observation Histories: Analyzing and Improving Sample Complexity ✅ ❌ ✅ ❌ ✅ ❌ ✅ 4
OmniControl: Control Any Joint at Any Time for Human Motion Generation ✅ ❌ ✅ ❌ ✅ ❌ ✅ 4
OmniQuant: Omnidirectionally Calibrated Quantization for Large Language Models ✅ ✅ ✅ ❌ ✅ ❌ ✅ 5
On Accelerating Diffusion-Based Sampling Processes via Improved Integration Approximation ✅ ❌ ✅ ❌ ✅ ❌ ✅ 4
On Adversarial Training without Perturbing all Examples ❌ ✅ ✅ ✅ ❌ ❌ ✅ 4
On Bias-Variance Alignment in Deep Models ❌ ❌ ✅ ❌ ❌ ❌ ✅ 2
On Differentially Private Federated Linear Contextual Bandits ✅ ❌ ✅ ❌ ❌ ❌ ✅ 3
On Diffusion Modeling for Anomaly Detection ✅ ✅ ✅ ❌ ✅ ❌ ✅ 5
On Double Descent in Reinforcement Learning with LSTD and Random Features ❌ ❌ ❌ ❌ ❌ ❌ ✅ 1
On Error Propagation of Diffusion Models ✅ ✅ ✅ ❌ ✅ ❌ ✅ 5
On Harmonizing Implicit Subpopulations ❌ ✅ ✅ ✅ ✅ ✅ ✅ 6
On Penalty Methods for Nonconvex Bilevel Optimization and First-Order Stochastic Approximation ✅ ❌ ❌ ❌ ❌ ❌ ❌ 1
On Representation Complexity of Model-based and Model-free Reinforcement Learning ❌ ✅ ✅ ❌ ❌ ❌ ✅ 3
On Stationary Point Convergence of PPO-Clip ❌ ❌ ❌ ❌ ❌ ❌ ❌ 0
On Trajectory Augmentations for Off-Policy Evaluation ❌ ❌ ✅ ❌ ✅ ❌ ✅ 3
On gauge freedom, conservativity and intrinsic dimensionality estimation in diffusion models ❌ ❌ ❌ ❌ ❌ ❌ ✅ 1
On the Analysis of GAN-based Image-to-Image Translation with Gaussian Noise Injection ❌ ❌ ✅ ❌ ❌ ❌ ✅ 2
On the Effect of Batch Size in Byzantine-Robust Distributed Learning ✅ ✅ ✅ ❌ ✅ ❌ ✅ 5
On the Expressivity of Objective-Specification Formalisms in Reinforcement Learning ❌ ❌ ❌ ❌ ❌ ❌ ❌ 0
On the Fairness ROAD: Robust Optimization for Adversarial Debiasing ✅ ✅ ✅ ❌ ❌ ❌ ✅ 4
On the Foundations of Shortcut Learning ❌ ❌ ✅ ✅ ❌ ❌ ✅ 3
On the Generalization and Approximation Capacities of Neural Controlled Differential Equations ❌ ✅ ❌ ❌ ❌ ❌ ✅ 2
On the Hardness of Constrained Cooperative Multi-Agent Reinforcement Learning ✅ ❌ ❌ ❌ ❌ ❌ ✅ 2
On the Hardness of Online Nonconvex Optimization with Single Oracle Feedback ✅ ❌ ❌ ❌ ❌ ❌ ❌ 1
On the Humanity of Conversational AI: Evaluating the Psychological Portrayal of LLMs ❌ ✅ ✅ ❌ ✅ ❌ ✅ 4
On the Joint Interaction of Models, Data, and Features ✅ ❌ ✅ ❌ ✅ ❌ ✅ 4
On the Learnability of Watermarks for Language Models ❌ ✅ ✅ ✅ ✅ ❌ ✅ 5
On the Limitations of Temperature Scaling for Distributions with Overlaps ❌ ✅ ✅ ✅ ✅ ❌ ✅ 5
On the Markov Property of Neural Algorithmic Reasoning: Analyses and Methods ❌ ✅ ✅ ✅ ❌ ❌ ✅ 4
On the Over-Memorization During Natural, Robust and Catastrophic Overfitting ✅ ✅ ✅ ❌ ✅ ❌ ✅ 5
On the Parameterization of Second-Order Optimization Effective towards the Infinite Width ❌ ❌ ✅ ❌ ❌ ❌ ✅ 2
On the Posterior Distribution in Denoising: Application to Uncertainty Quantification ✅ ✅ ✅ ❌ ❌ ❌ ✅ 4
On the Power of the Weisfeiler-Leman Test for Graph Motif Parameters ❌ ❌ ❌ ❌ ❌ ❌ ❌ 0
On the Provable Advantage of Unsupervised Pretraining ✅ ❌ ❌ ❌ ❌ ❌ ❌ 1
On the Reliability of Watermarks for Large Language Models ✅ ✅ ✅ ❌ ✅ ❌ ✅ 5
On the Role of Discrete Tokenization in Visual Representation Learning ❌ ✅ ✅ ❌ ❌ ❌ ✅ 3
On the Role of General Function Approximation in Offline Reinforcement Learning ❌ ❌ ❌ ❌ ❌ ❌ ❌ 0
On the Scalability and Memory Efficiency of Semidefinite Programs for Lipschitz Constant Estimation of Neural Networks ✅ ✅ ✅ ❌ ✅ ✅ ✅ 6
On the Stability of Expressive Positional Encodings for Graphs ❌ ✅ ✅ ✅ ✅ ❌ ✅ 5
On the Stability of Iterative Retraining of Generative Models on their own Data ✅ ✅ ✅ ❌ ❌ ❌ ✅ 4
On the Variance of Neural Network Training with respect to Test Sets and Distributions ❌ ✅ ✅ ✅ ❌ ❌ ✅ 4
On the Vulnerability of Adversarially Trained Models Against Two-faced Attacks ✅ ❌ ✅ ✅ ✅ ❌ ✅ 5
On the generalization capacity of neural networks during generic multimodal reasoning ❌ ✅ ✅ ✅ ✅ ✅ ✅ 6
On the hardness of learning under symmetries ❌ ❌ ✅ ❌ ❌ ❌ ✅ 2
On-Policy Distillation of Language Models: Learning from Self-Generated Mistakes ✅ ❌ ✅ ✅ ✅ ❌ ✅ 5
One For All: Towards Training One Graph Model For All Classification Tasks ❌ ✅ ✅ ✅ ❌ ❌ ✅ 4
One Forward is Enough for Neural Network Training via Likelihood Ratio Method ✅ ❌ ✅ ❌ ✅ ✅ ✅ 5
One Step of Gradient Descent is Provably the Optimal In-Context Learner with One Layer of Linear Self-Attention ❌ ❌ ❌ ❌ ❌ ❌ ✅ 1
One-hot Generalized Linear Model for Switching Brain State Discovery ❌ ✅ ✅ ❌ ❌ ❌ ✅ 3
One-shot Active Learning Based on Lewis Weight Sampling for Multiple Deep Models ✅ ✅ ✅ ❌ ✅ ❌ ✅ 5
One-shot Empirical Privacy Estimation for Federated Learning ✅ ✅ ✅ ❌ ❌ ❌ ✅ 4
Online Continual Learning for Interactive Instruction Following Agents ✅ ✅ ✅ ✅ ❌ ❌ ✅ 5
Online GNN Evaluation Under Test-time Graph Distribution Shifts ✅ ✅ ✅ ✅ ✅ ❌ ✅ 6
Online Information Acquisition: Hiring Multiple Agents ✅ ❌ ❌ ❌ ❌ ❌ ❌ 1
Online Stabilization of Spiking Neural Networks ✅ ✅ ✅ ❌ ✅ ✅ ✅ 6
Only Pay for What Is Uncertain: Variance-Adaptive Thompson Sampling ✅ ❌ ❌ ❌ ❌ ❌ ✅ 2
Open the Black Box: Step-based Policy Updates for Temporally-Correlated Episodic Reinforcement Learning ✅ ✅ ✅ ❌ ❌ ❌ ✅ 4
Open-ended VQA benchmarking of Vision-Language models by exploiting Classification datasets and their semantic hierarchy ❌ ✅ ✅ ✅ ❌ ❌ ✅ 4
OpenChat: Advancing Open-source Language Models with Mixed-Quality Data ❌ ✅ ✅ ❌ ❌ ❌ ✅ 3
OpenNeRF: Open Set 3D Neural Scene Segmentation with Pixel-Wise Features and Rendered Novel Views ❌ ❌ ✅ ❌ ❌ ❌ ✅ 2
OpenTab: Advancing Large Language Models as Open-domain Table Reasoners ❌ ❌ ✅ ❌ ❌ ✅ ✅ 3
OpenWebMath: An Open Dataset of High-Quality Mathematical Web Text ❌ ✅ ✅ ❌ ✅ ❌ ✅ 4
Optimal Sample Complexity for Average Reward Markov Decision Processes ✅ ❌ ✅ ❌ ❌ ❌ ✅ 3
Optimal Sample Complexity of Contrastive Learning ❌ ❌ ✅ ✅ ❌ ✅ ✅ 4
Optimal Sketching for Residual Error Estimation for Matrix and Vector Norms ✅ ❌ ✅ ❌ ✅ ❌ ✅ 4
Optimal criterion for feature learning of two-layer linear neural network in high dimensional interpolation regime ❌ ❌ ❌ ❌ ❌ ❌ ✅ 1
Optimal transport based adversarial patch to leverage large scale attack transferability ❌ ❌ ✅ ✅ ✅ ❌ ✅ 4
Optimistic Bayesian Optimization with Unknown Constraints ✅ ✅ ✅ ❌ ❌ ❌ ❌ 3
Oracle Efficient Algorithms for Groupwise Regret ✅ ✅ ✅ ❌ ❌ ❌ ❌ 3
Orbit-Equivariant Graph Neural Networks ✅ ✅ ✅ ❌ ❌ ❌ ✅ 4
Order-Preserving GFlowNets ✅ ✅ ✅ ✅ ❌ ❌ ✅ 5
Out-Of-Domain Unlabeled Data Improves Generalization ✅ ❌ ✅ ❌ ❌ ✅ ✅ 4
Out-of-Distribution Detection by Leveraging Between-Layer Transformation Smoothness ❌ ✅ ✅ ✅ ✅ ✅ ✅ 6
Out-of-Distribution Detection with Negative Prompts ✅ ✅ ✅ ✅ ✅ ✅ ✅ 7
Out-of-Variable Generalisation for Discriminative Models ✅ ✅ ❌ ❌ ❌ ❌ ✅ 3
Outliers with Opposing Signals Have an Outsized Effect on Neural Network Optimization ❌ ❌ ✅ ❌ ❌ ❌ ✅ 2
Overcoming the Pitfalls of Vision-Language Model Finetuning for OOD Generalization ❌ ✅ ✅ ❌ ❌ ❌ ✅ 3
Overthinking the Truth: Understanding how Language Models Process False Demonstrations ❌ ✅ ✅ ❌ ❌ ❌ ❌ 2
P$^2$OT: Progressive Partial Optimal Transport for Deep Imbalanced Clustering ✅ ✅ ✅ ❌ ✅ ❌ ✅ 5
P2Seg: Pointly-supervised Segmentation via Mutual Distillation ❌ ✅ ✅ ✅ ❌ ❌ ✅ 4
PAC Prediction Sets Under Label Shift ✅ ✅ ✅ ✅ ❌ ❌ ✅ 5
PAC-FNO: Parallel-Structured All-Component Fourier Neural Operators for Recognizing Low-Quality Images ✅ ✅ ✅ ✅ ✅ ✅ ✅ 7
PAE: Reinforcement Learning from External Knowledge for Efficient Exploration ✅ ❌ ✅ ❌ ✅ ✅ ✅ 5
PARL: A Unified Framework for Policy Alignment in Reinforcement Learning from Human Feedback ✅ ❌ ✅ ❌ ❌ ❌ ✅ 3
PB-LLM: Partially Binarized Large Language Models ❌ ✅ ✅ ❌ ❌ ❌ ✅ 3
PBADet: A One-Stage Anchor-Free Approach for Part-Body Association ❌ ❌ ✅ ✅ ✅ ❌ ✅ 4
PF-LRM: Pose-Free Large Reconstruction Model for Joint Pose and Shape Prediction ❌ ✅ ✅ ❌ ✅ ❌ ✅ 4
PILOT: An $\mathcal{O}(1/K)$-Convergent Approach for Policy Evaluation with Nonlinear Function Approximation ✅ ❌ ✅ ❌ ❌ ❌ ❌ 2
PINNACLE: PINN Adaptive ColLocation and Experimental points selection ✅ ✅ ✅ ❌ ✅ ❌ ✅ 5
PINNsFormer: A Transformer-Based Framework For Physics-Informed Neural Networks ❌ ✅ ✅ ✅ ✅ ❌ ✅ 5
PORF: POSE RESIDUAL FIELD FOR ACCURATE NEURAL SURFACE RECONSTRUCTION ❌ ❌ ✅ ❌ ✅ ❌ ✅ 3
PRES: Toward Scalable Memory-Based Dynamic Graph Neural Networks ✅ ✅ ✅ ✅ ✅ ❌ ✅ 6
PRIME: Prioritizing Interpretability in Failure Mode Extraction ❌ ❌ ✅ ✅ ❌ ❌ ✅ 3
PROGRAM: PROtotype GRAph Model based Pseudo-Label Learning for Test-Time Adaptation ✅ ❌ ✅ ✅ ✅ ❌ ✅ 5
PTaRL: Prototype-based Tabular Representation Learning via Space Calibration ✅ ✅ ✅ ✅ ✅ ❌ ✅ 6
PandaLM: An Automatic Evaluation Benchmark for LLM Instruction Tuning Optimization ❌ ❌ ✅ ✅ ✅ ❌ ✅ 4
PanoDiffusion: 360-degree Panorama Outpainting via Diffusion ❌ ✅ ✅ ✅ ❌ ❌ ✅ 4
Parallelizing non-linear sequential models over the sequence length ✅ ✅ ✅ ✅ ✅ ❌ ✅ 6
Parameter-Efficient Multi-Task Model Fusion with Partial Linearization ✅ ❌ ✅ ✅ ✅ ✅ ✅ 6
Parameter-Efficient Orthogonal Finetuning via Butterfly Factorization ❌ ✅ ✅ ✅ ✅ ❌ ✅ 5
Parametric Augmentation for Time Series Contrastive Learning ✅ ✅ ✅ ❌ ✅ ✅ ✅ 6
Pareto Deep Long-Tailed Recognition: A Conflict-Averse Solution ✅ ✅ ✅ ❌ ✅ ✅ ✅ 6
Parsing neural dynamics with infinite recurrent switching linear dynamical systems ✅ ✅ ✅ ❌ ✅ ❌ ✅ 5
Particle Guidance: non-I.I.D. Diverse Sampling with Diffusion Models ❌ ✅ ✅ ✅ ❌ ❌ ✅ 4
Partitioning Message Passing for Graph Fraud Detection ✅ ✅ ✅ ✅ ✅ ❌ ✅ 6
Patched Denoising Diffusion Models For High-Resolution Image Synthesis ❌ ✅ ✅ ❌ ❌ ❌ ✅ 3
Path Choice Matters for Clear Attributions in Path Methods ✅ ✅ ✅ ❌ ✅ ❌ ✅ 5
Pathformer: Multi-scale Transformers with Adaptive Pathways for Time Series Forecasting ❌ ✅ ✅ ✅ ✅ ❌ ✅ 5
PeFLL: Personalized Federated Learning by Learning to Learn ✅ ✅ ✅ ✅ ❌ ❌ ✅ 5
Peering Through Preferences: Unraveling Feedback Acquisition for Aligning Large Language Models ❌ ✅ ✅ ✅ ✅ ❌ ✅ 5
PerceptionCLIP: Visual Classification by Inferring and Conditioning on Contexts ✅ ✅ ✅ ❌ ❌ ❌ ✅ 4
Perceptual Group Tokenizer: Building Perception with Iterative Grouping ✅ ❌ ✅ ❌ ✅ ❌ ✅ 4
Perceptual Scales Predicted by Fisher Information Metrics ❌ ✅ ❌ ❌ ❌ ❌ ✅ 2
Performance Gaps in Multi-view Clustering under the Nested Matrix-Tensor Model ❌ ✅ ❌ ❌ ❌ ❌ ❌ 1
Periodicity Decoupling Framework for Long-term Series Forecasting ❌ ✅ ✅ ✅ ❌ ❌ ✅ 4
Personalize Segment Anything Model with One Shot ❌ ✅ ✅ ✅ ✅ ❌ ✅ 5
Pessimistic Nonlinear Least-Squares Value Iteration for Offline Reinforcement Learning ✅ ❌ ❌ ❌ ❌ ❌ ❌ 1
Phenomenal Yet Puzzling: Testing Inductive Reasoning Capabilities of Language Models with Hypothesis Refinement ❌ ✅ ✅ ✅ ❌ ❌ ✅ 4
PhyloGFN: Phylogenetic inference with generative flow networks ❌ ✅ ✅ ❌ ✅ ❌ ✅ 4
Physics-Regulated Deep Reinforcement Learning: Invariant Embeddings ✅ ✅ ✅ ❌ ❌ ✅ ✅ 5
Piecewise Linear Parametrization of Policies: Towards Interpretable Deep Reinforcement Learning ✅ ❌ ✅ ❌ ✅ ❌ ✅ 4
PixArt-$\alpha$: Fast Training of Diffusion Transformer for Photorealistic Text-to-Image Synthesis ❌ ✅ ✅ ❌ ✅ ❌ ✅ 4
PlaSma: Procedural Knowledge Models for Language-based Planning and Re-Planning ✅ ✅ ✅ ❌ ❌ ❌ ✅ 4
Plan-Seq-Learn: Language Model Guided RL for Solving Long Horizon Robotics Tasks ✅ ✅ ✅ ❌ ❌ ✅ ✅ 5
Plug-and-Play Policy Planner for Large Language Model Powered Dialogue Agents ❌ ✅ ✅ ✅ ✅ ❌ ✅ 5
Plug-and-Play Posterior Sampling under Mismatched Measurement and Prior Models ❌ ✅ ✅ ✅ ✅ ❌ ✅ 5
Plug-and-Play: An Efficient Post-training Pruning Method for Large Language Models ❌ ✅ ✅ ✅ ✅ ❌ ✅ 5
Plugin estimators for selective classification with out-of-distribution detection ✅ ❌ ✅ ✅ ❌ ❌ ✅ 4
PnP Inversion: Boosting Diffusion-based Editing with 3 Lines of Code ✅ ✅ ❌ ❌ ✅ ❌ ✅ 4
PoSE: Efficient Context Window Extension of LLMs via Positional Skip-wise Training ❌ ✅ ✅ ❌ ✅ ✅ ✅ 5
Point2SSM: Learning Morphological Variations of Anatomies from Point Clouds ❌ ✅ ✅ ✅ ✅ ❌ ✅ 5
Poisoned Forgery Face: Towards Backdoor Attacks on Face Forgery Detection ❌ ✅ ✅ ❌ ❌ ❌ ✅ 3
Policy Rehearsing: Training Generalizable Policies for Reinforcement Learning ✅ ❌ ✅ ❌ ❌ ❌ ✅ 3
Poly-View Contrastive Learning ✅ ❌ ✅ ✅ ❌ ❌ ✅ 4
PolyGCL: GRAPH CONTRASTIVE LEARNING via Learnable Spectral Polynomial Filters ✅ ✅ ✅ ✅ ✅ ❌ ✅ 6
PolyVoice: Language Models for Speech to Speech Translation ❌ ❌ ✅ ❌ ✅ ❌ ✅ 3
Polynomial Width is Sufficient for Set Representation with High-dimensional Features ❌ ❌ ❌ ❌ ❌ ❌ ❌ 0
Polynormer: Polynomial-Expressive Graph Transformer in Linear Time ✅ ✅ ✅ ✅ ✅ ❌ ✅ 6
Pooling Image Datasets with Multiple Covariate Shift and Imbalance ✅ ✅ ✅ ✅ ❌ ❌ ✅ 5
Pose Modulated Avatars from Video ❌ ✅ ✅ ❌ ✅ ❌ ✅ 4
Post-hoc bias scoring is optimal for fair classification ✅ ✅ ✅ ✅ ❌ ❌ ✅ 5
Posterior Sampling Based on Gradient Flows of the MMD with Negative Distance Kernel ✅ ✅ ✅ ❌ ❌ ❌ ✅ 4
Pre-Training Goal-based Models for Sample-Efficient Reinforcement Learning ❌ ❌ ✅ ✅ ❌ ❌ ✅ 3
Pre-Training and Fine-Tuning Generative Flow Networks ✅ ❌ ✅ ❌ ❌ ❌ ✅ 3
Pre-training LiDAR-based 3D Object Detectors through Colorization ❌ ✅ ✅ ✅ ❌ ❌ ✅ 4
Pre-training Sequence, Structure, and Surface Features for Comprehensive Protein Representation Learning ❌ ❌ ✅ ✅ ✅ ❌ ✅ 4
Pre-training with Random Orthogonal Projection Image Modeling ✅ ✅ ✅ ✅ ✅ ❌ ✅ 6
Pre-training with Synthetic Data Helps Offline Reinforcement Learning ❌ ❌ ✅ ❌ ✅ ❌ ✅ 3
Predicting Emergent Abilities with Infinite Resolution Evaluation ❌ ✅ ✅ ❌ ❌ ❌ ✅ 3
Prediction Error-based Classification for Class-Incremental Learning ✅ ✅ ✅ ✅ ✅ ❌ ✅ 6
Prediction without Preclusion: Recourse Verification with Reachable Sets ✅ ❌ ✅ ❌ ❌ ❌ ❌ 2
Predictive auxiliary objectives in deep RL mimic learning in the brain ❌ ❌ ✅ ❌ ❌ ❌ ✅ 2
Predictive, scalable and interpretable knowledge tracing on structured domains ❌ ✅ ✅ ✅ ❌ ❌ ✅ 4
Principled Architecture-aware Scaling of Hyperparameters ❌ ✅ ✅ ❌ ❌ ❌ ✅ 3
Principled Federated Domain Adaptation: Gradient Projection and Auto-Weighting ✅ ✅ ✅ ✅ ✅ ❌ ✅ 6
Prioritized Soft Q-Decomposition for Lexicographic Reinforcement Learning ✅ ✅ ❌ ❌ ❌ ❌ ✅ 3
Privacy Amplification for Matrix Mechanisms ✅ ✅ ✅ ❌ ❌ ❌ ❌ 3
Privacy-Preserving In-Context Learning for Large Language Models ✅ ✅ ✅ ✅ ❌ ❌ ✅ 5
Privacy-Preserving In-Context Learning with Differentially Private Few-Shot Generation ✅ ✅ ✅ ❌ ❌ ❌ ✅ 4
Private Zeroth-Order Nonsmooth Nonconvex Optimization ✅ ❌ ❌ ❌ ❌ ❌ ❌ 1
Privately Aligning Language Models with Reinforcement Learning ✅ ❌ ✅ ✅ ❌ ❌ ✅ 4
Privileged Sensing Scaffolds Reinforcement Learning ❌ ✅ ❌ ❌ ✅ ❌ ✅ 3
Probabilistic Adaptation of Black-Box Text-to-Video Models ✅ ✅ ✅ ❌ ✅ ❌ ✅ 5
Probabilistic Self-supervised Representation Learning via Scoring Rules Minimization ❌ ✅ ✅ ✅ ✅ ❌ ✅ 5
Probabilistically Rewired Message-Passing Neural Networks ❌ ✅ ✅ ✅ ✅ ❌ ✅ 5
Procedural Fairness Through Decoupling Objectionable Data Generating Components ✅ ✅ ✅ ❌ ❌ ❌ ✅ 4
Progressive Fourier Neural Representation for Sequential Video Compilation ✅ ✅ ✅ ❌ ✅ ❌ ✅ 5
Progressive3D: Progressively Local Editing for Text-to-3D Content Creation with Complex Semantic Prompts ❌ ✅ ✅ ❌ ✅ ✅ ✅ 5
Project and Probe: Sample-Efficient Adaptation by Interpolating Orthogonal Features ✅ ❌ ✅ ✅ ❌ ❌ ✅ 4
Prometheus: Inducing Fine-Grained Evaluation Capability in Language Models ❌ ✅ ✅ ❌ ✅ ❌ ✅ 4
Prompt Gradient Projection for Continual Learning ✅ ✅ ✅ ❌ ✅ ❌ ✅ 5
Prompt Learning with Quaternion Networks ❌ ✅ ✅ ✅ ✅ ❌ ✅ 5
Prompt Risk Control: A Rigorous Framework for Responsible Deployment of Large Language Models ✅ ✅ ✅ ✅ ✅ ❌ ✅ 6
PromptAgent: Strategic Planning with Language Models Enables Expert-level Prompt Optimization ✅ ✅ ✅ ✅ ❌ ❌ ✅ 5
PromptTTS 2: Describing and Generating Voices with Text Prompt ❌ ❌ ✅ ❌ ❌ ❌ ✅ 2
Proper Laplacian Representation Learning ❌ ✅ ❌ ❌ ❌ ❌ ✅ 2
Protein Discovery with Discrete Walk-Jump Sampling ✅ ✅ ✅ ✅ ❌ ✅ ✅ 6
Protein Multimer Structure Prediction via Prompt Learning ✅ ✅ ✅ ✅ ✅ ❌ ✅ 6
Protein-Ligand Interaction Prior for Binding-aware 3D Molecule Diffusion Models ✅ ✅ ✅ ❌ ✅ ❌ ✅ 5
Protein-ligand binding representation learning from fine-grained interactions ✅ ❌ ✅ ✅ ✅ ❌ ✅ 5
Prototypical Information Bottlenecking and Disentangling for Multimodal Cancer Survival Prediction ❌ ✅ ✅ ✅ ✅ ❌ ✅ 5
Provable Benefits of Multi-task RL under Non-Markovian Decision Making Processes ✅ ❌ ❌ ❌ ❌ ❌ ❌ 1
Provable Compositional Generalization for Object-Centric Learning ❌ ✅ ❌ ✅ ❌ ✅ ✅ 4
Provable Memory Efficient Self-Play Algorithm for Model-free Reinforcement Learning ✅ ❌ ❌ ❌ ❌ ❌ ❌ 1
Provable Offline Preference-Based Reinforcement Learning ✅ ❌ ❌ ❌ ❌ ❌ ❌ 1
Provable Reward-Agnostic Preference-Based Reinforcement Learning ✅ ❌ ❌ ❌ ❌ ❌ ❌ 1
Provable Robust Watermarking for AI-Generated Text ✅ ✅ ✅ ❌ ✅ ❌ ✅ 5
Provable and Practical: Efficient Exploration in Reinforcement Learning via Langevin Monte Carlo ✅ ✅ ✅ ❌ ✅ ❌ ✅ 5
Provably Efficient CVaR RL in Low-rank MDPs ✅ ❌ ❌ ❌ ❌ ❌ ❌ 1
Provably Efficient Iterated CVaR Reinforcement Learning with Function Approximation and Human Feedback ✅ ❌ ❌ ❌ ❌ ❌ ✅ 2
Provably Efficient UCB-type Algorithms For Learning Predictive State Representations ✅ ❌ ❌ ❌ ❌ ❌ ❌ 1
Provably Robust Conformal Prediction with Improved Efficiency ❌ ✅ ✅ ✅ ✅ ❌ ✅ 5
Proving Test Set Contamination in Black-Box Language Models ✅ ✅ ✅ ❌ ✅ ❌ ✅ 5
Proximal Policy Gradient Arborescence for Quality Diversity Reinforcement Learning ✅ ✅ ✅ ❌ ✅ ❌ ✅ 5
Pseudo-Generalized Dynamic View Synthesis from a Video ❌ ✅ ✅ ❌ ❌ ❌ ✅ 3
PubDef: Defending Against Transfer Attacks From Public Models ❌ ✅ ✅ ✅ ✅ ❌ ✅ 5
Pushing Boundaries: Mixup's Influence on Neural Collapse ❌ ❌ ✅ ❌ ❌ ❌ ✅ 2
Pushing Mixture of Experts to the Limit: Extremely Parameter Efficient MoE for Instruction Tuning ✅ ✅ ✅ ❌ ✅ ❌ ✅ 5
Q-Bench: A Benchmark for General-Purpose Foundation Models on Low-level Vision ✅ ✅ ✅ ✅ ❌ ❌ ✅ 5
QA-LoRA: Quantization-Aware Low-Rank Adaptation of Large Language Models ✅ ✅ ✅ ❌ ✅ ❌ ✅ 5
QLLM: Accurate and Efficient Low-Bitwidth Quantization for Large Language Models ✅ ✅ ✅ ✅ ✅ ❌ ✅ 6
Quadratic models for understanding catapult dynamics of neural networks ❌ ❌ ✅ ❌ ✅ ❌ ✅ 3
Quality-Diversity through AI Feedback ❌ ✅ ✅ ❌ ❌ ✅ ✅ 4
Quantifying Language Models' Sensitivity to Spurious Features in Prompt Design or: How I learned to start worrying about prompt formatting ✅ ✅ ✅ ❌ ❌ ❌ ✅ 4
Quantifying and Enhancing Multi-modal Robustness with Modality Preference ❌ ❌ ✅ ❌ ❌ ❌ ❌ 1
Quantifying the Plausibility of Context Reliance in Neural Machine Translation ✅ ✅ ✅ ✅ ❌ ❌ ✅ 5
Quantifying the Sensitivity of Inverse Reinforcement Learning to Misspecification ❌ ❌ ❌ ❌ ❌ ❌ ❌ 0
Quasi-Monte Carlo for 3D Sliced Wasserstein ✅ ✅ ✅ ❌ ✅ ❌ ✅ 5
Query-Dependent Prompt Evaluation and Optimization with Offline Inverse RL ❌ ✅ ✅ ❌ ✅ ❌ ✅ 4
Query-Policy Misalignment in Preference-Based Reinforcement Learning ✅ ✅ ✅ ❌ ❌ ❌ ✅ 4
Querying Easily Flip-flopped Samples for Deep Active Learning ✅ ✅ ✅ ✅ ❌ ❌ ✅ 5
Quick-Tune: Quickly Learning Which Pretrained Model to Finetune and How ✅ ✅ ✅ ✅ ✅ ❌ ✅ 6
R&B: Region and Boundary Aware Zero-shot Grounded Text-to-image Generation ❌ ✅ ✅ ❌ ❌ ❌ ✅ 3
R-EDL: Relaxing Nonessential Settings of Evidential Deep Learning ❌ ✅ ✅ ✅ ✅ ✅ ✅ 6
R-MAE: Regions Meet Masked Autoencoders ❌ ✅ ✅ ✅ ❌ ❌ ✅ 4
RA-DIT: Retrieval-Augmented Dual Instruction Tuning ❌ ✅ ✅ ✅ ✅ ❌ ✅ 5
RAIN: Your Language Models Can Align Themselves without Finetuning ✅ ✅ ✅ ❌ ❌ ❌ ✅ 4
RAPPER: Reinforced Rationale-Prompted Paradigm for Natural Language Explanation in Visual Question Answering ✅ ❌ ✅ ✅ ✅ ❌ ✅ 5
RAPTOR: Recursive Abstractive Processing for Tree-Organized Retrieval ✅ ✅ ✅ ❌ ✅ ❌ ✅ 5
RDesign: Hierarchical Data-efficient Representation Learning for Tertiary Structure-based RNA Design ❌ ✅ ✅ ✅ ✅ ✅ ✅ 6
REBAR: Retrieval-Based Reconstruction for Time-series Contrastive Learning ✅ ✅ ✅ ✅ ❌ ❌ ✅ 5
RECOMBINER: Robust and Enhanced Compression with Bayesian Implicit Neural Representations ✅ ✅ ✅ ❌ ✅ ❌ ✅ 5
RECOMP: Improving Retrieval-Augmented LMs with Context Compression and Selective Augmentation ✅ ✅ ✅ ✅ ✅ ❌ ✅ 6
REFACTOR: Learning to Extract Theorems from Proofs ✅ ✅ ✅ ❌ ✅ ❌ ✅ 5
RETSim: Resilient and Efficient Text Similarity ❌ ✅ ✅ ❌ ✅ ❌ ✅ 4
REValueD: Regularised Ensemble Value-Decomposition for Factorisable Markov Decision Processes ❌ ❌ ✅ ❌ ❌ ❌ ✅ 2
RLCD: Reinforcement Learning from Contrastive Distillation for LM Alignment ❌ ✅ ✅ ✅ ❌ ❌ ✅ 4
RLIF: Interactive Imitation Learning as Reinforcement Learning ✅ ✅ ✅ ❌ ✅ ✅ ✅ 6
RT-Trajectory: Robotic Task Generalization via Hindsight Trajectory Sketches ❌ ❌ ✅ ❌ ❌ ❌ ✅ 2
RTFS-Net: Recurrent Time-Frequency Modelling for Efficient Audio-Visual Speech Separation ❌ ❌ ✅ ✅ ✅ ✅ ✅ 5
Raidar: geneRative AI Detection viA Rewriting ✅ ✅ ✅ ✅ ❌ ❌ ✅ 5
Random Sparse Lifts: Construction, Analysis and Convergence of finite sparse networks ❌ ❌ ✅ ❌ ❌ ❌ ✅ 2
Rayleigh Quotient Graph Neural Networks for Graph-level Anomaly Detection ✅ ✅ ✅ ✅ ❌ ❌ ✅ 5
ReFusion: Improving Natural Language Understanding with Computation-Efficient Retrieval Representation Fusion ❌ ✅ ✅ ✅ ✅ ❌ ✅ 5
ReLU Strikes Back: Exploiting Activation Sparsity in Large Language Models ❌ ❌ ✅ ✅ ✅ ❌ ✅ 4
ReLoRA: High-Rank Training Through Low-Rank Updates ✅ ✅ ✅ ❌ ✅ ❌ ✅ 5
ReMasker: Imputing Tabular Data with Masked Autoencoding ✅ ✅ ✅ ❌ ❌ ❌ ✅ 4
ReSimAD: Zero-Shot 3D Domain Transfer for Autonomous Driving with Source Reconstruction and Target Simulation ❌ ✅ ✅ ✅ ✅ ❌ ✅ 5
ReTaSA: A Nonparametric Functional Estimation Approach for Addressing Continuous Target Shift ❌ ❌ ✅ ✅ ✅ ❌ ✅ 4
Real-Fake: Effective Training Data Synthesis Through Distribution Matching ❌ ✅ ✅ ❌ ❌ ✅ ✅ 4
Real-time Photorealistic Dynamic Scene Representation and Rendering with 4D Gaussian Splatting ❌ ❌ ✅ ❌ ❌ ❌ ✅ 2
Real3D-Portrait: One-shot Realistic 3D Talking Portrait Synthesis ❌ ❌ ✅ ✅ ✅ ❌ ✅ 4
Realistic Evaluation of Semi-supervised Learning Algorithms in Open Environments ❌ ✅ ✅ ✅ ❌ ❌ ✅ 4
Reasoning on Graphs: Faithful and Interpretable Large Language Model Reasoning ✅ ✅ ✅ ❌ ✅ ❌ ✅ 5
Reasoning with Latent Diffusion in Offline Reinforcement Learning ✅ ✅ ✅ ❌ ✅ ❌ ✅ 5
Reclaiming the Source of Programmatic Policies: Programmatic versus Latent Spaces ✅ ✅ ✅ ❌ ❌ ❌ ✅ 4
Reconciling Spatial and Temporal Abstractions for Goal Representation ✅ ✅ ✅ ❌ ❌ ✅ ✅ 5
Recursive Generalization Transformer for Image Super-Resolution ❌ ✅ ✅ ❌ ✅ ❌ ✅ 4
Reinforcement Symbolic Regression Machine ✅ ✅ ✅ ✅ ❌ ❌ ✅ 5
Relaxing the Additivity Constraints in Decentralized No-Regret High-Dimensional Bayesian Optimization ✅ ✅ ✅ ❌ ✅ ❌ ✅ 5
Relay Diffusion: Unifying diffusion process across resolutions for image synthesis ✅ ✅ ✅ ❌ ✅ ❌ ✅ 5
Remote Sensing Vision-Language Foundation Models without Annotations via Ground Remote Alignment ❌ ✅ ✅ ✅ ❌ ❌ ✅ 4
Removing Biases from Molecular Representations via Information Maximization ❌ ✅ ✅ ❌ ❌ ❌ ✅ 3
Repeated Random Sampling for Minimizing the Time-to-Accuracy of Learning ✅ ✅ ✅ ❌ ✅ ❌ ✅ 5
Repelling Random Walks ✅ ✅ ✅ ❌ ❌ ❌ ✅ 4
Rephrase, Augment, Reason: Visual Grounding of Questions for Vision-Language Models ❌ ✅ ✅ ✅ ❌ ❌ ✅ 4
Replay across Experiments: A Natural Extension of Off-Policy RL ❌ ❌ ✅ ❌ ❌ ❌ ✅ 2
RepoBench: Benchmarking Repository-Level Code Auto-Completion Systems ❌ ✅ ✅ ❌ ❌ ❌ ✅ 3
Representation Deficiency in Masked Language Modeling ❌ ✅ ✅ ✅ ✅ ❌ ✅ 5
ResFields: Residual Neural Fields for Spatiotemporal Signals ❌ ✅ ✅ ✅ ✅ ✅ ✅ 6
Respect the model: Fine-grained and Robust Explanation with Sharing Ratio Decomposition ✅ ❌ ✅ ✅ ❌ ❌ ✅ 4
Rethinking Adversarial Policies: A Generalized Attack Formulation and Provable Defense in RL ✅ ✅ ✅ ❌ ❌ ❌ ✅ 4
Rethinking Backdoor Attacks on Dataset Distillation: A Kernel Method Perspective ✅ ✅ ✅ ❌ ❌ ❌ ✅ 4
Rethinking Branching on Exact Combinatorial Optimization Solver: The First Deep Symbolic Discovery Framework ✅ ✅ ✅ ✅ ✅ ✅ ✅ 7
Rethinking CNN’s Generalization to Backdoor Attack from Frequency Domain ❌ ❌ ✅ ❌ ❌ ❌ ✅ 2
Rethinking Channel Dependence for Multivariate Time Series Forecasting: Learning from Leading Indicators ❌ ✅ ✅ ✅ ✅ ❌ ✅ 5
Rethinking Channel Dimensions to Isolate Outliers for Low-bit Weight Quantization of Large Language Models ✅ ✅ ✅ ✅ ✅ ❌ ✅ 6
Rethinking Complex Queries on Knowledge Graphs with Neural Link Predictors ✅ ✅ ✅ ✅ ❌ ❌ ✅ 5
Rethinking Information-theoretic Generalization: Loss Entropy Induced PAC Bounds ❌ ✅ ✅ ✅ ✅ ❌ ✅ 5
Rethinking Label Poisoning for GNNs: Pitfalls and Attacks ❌ ✅ ✅ ✅ ✅ ❌ ✅ 5
Rethinking Model Ensemble in Transfer-based Adversarial Attacks ✅ ✅ ✅ ❌ ❌ ❌ ✅ 4
Rethinking and Extending the Probabilistic Inference Capacity of GNNs ✅ ❌ ✅ ✅ ❌ ❌ ✅ 4
Rethinking the Benefits of Steerable Features in 3D Equivariant Graph Neural Networks ❌ ✅ ✅ ✅ ✅ ❌ ✅ 5
Rethinking the Power of Graph Canonization in Graph Representation Learning with Stability ❌ ✅ ✅ ✅ ✅ ❌ ✅ 5
Rethinking the Uniformity Metric in Self-Supervised Learning ❌ ✅ ✅ ✅ ✅ ❌ ✅ 5
Rethinking the symmetry-preserving circuits for constrained variational quantum algorithms ✅ ❌ ✅ ❌ ✅ ❌ ✅ 4
Retrieval is Accurate Generation ❌ ❌ ✅ ✅ ✅ ❌ ✅ 4
Retrieval meets Long Context Large Language Models ❌ ❌ ✅ ✅ ❌ ❌ ✅ 3
Retrieval-Enhanced Contrastive Vision-Text Models ❌ ❌ ✅ ❌ ✅ ❌ ✅ 3
Retrieval-Guided Reinforcement Learning for Boolean Circuit Minimization ✅ ❌ ✅ ✅ ✅ ❌ ✅ 5
Retrieval-based Disentangled Representation Learning with Natural Language Supervision ✅ ✅ ✅ ❌ ✅ ❌ ✅ 5
Retro-fallback: retrosynthetic planning in an uncertain world ✅ ✅ ✅ ❌ ❌ ❌ ✅ 4
RetroBridge: Modeling Retrosynthesis with Markov Bridges ✅ ✅ ✅ ✅ ✅ ❌ ✅ 6
Retroformer: Retrospective Large Language Agents with Policy Gradient Optimization ✅ ✅ ✅ ✅ ✅ ❌ ✅ 6
Reverse Diffusion Monte Carlo ✅ ❌ ❌ ❌ ❌ ❌ ✅ 2
Reverse Forward Curriculum Learning for Extreme Sample and Demo Efficiency ❌ ✅ ✅ ❌ ✅ ❌ ✅ 4
Revisit and Outstrip Entity Alignment: A Perspective of Generative Models ✅ ✅ ✅ ✅ ✅ ❌ ✅ 6
Revisiting Data Augmentation in Deep Reinforcement Learning ✅ ✅ ✅ ❌ ✅ ❌ ✅ 5
Revisiting Deep Audio-Text Retrieval Through the Lens of Transportation ✅ ✅ ✅ ✅ ✅ ❌ ✅ 6
Revisiting Link Prediction: a data perspective ❌ ✅ ✅ ✅ ✅ ✅ ✅ 6
Revisiting Plasticity in Visual Reinforcement Learning: Data, Modules and Training Stages ✅ ✅ ✅ ❌ ❌ ❌ ✅ 4
Revisiting the Last-Iterate Convergence of Stochastic Gradient Methods ✅ ❌ ❌ ❌ ❌ ❌ ❌ 1
Reward Design for Justifiable Sequential Decision-Making ❌ ✅ ✅ ✅ ❌ ❌ ✅ 4
Reward Model Ensembles Help Mitigate Overoptimization ❌ ✅ ✅ ✅ ✅ ❌ ✅ 5
Reward-Consistent Dynamics Models are Strongly Generalizable for Offline Reinforcement Learning ✅ ✅ ✅ ✅ ✅ ❌ ✅ 6
Reward-Free Curricula for Training Robust World Models ✅ ✅ ✅ ❌ ✅ ✅ ✅ 6
Rigid Protein-Protein Docking via Equivariant Elliptic-Paraboloid Interface Prediction ❌ ✅ ✅ ✅ ✅ ❌ ✅ 5
Ring-A-Bell! How Reliable are Concept Removal Methods For Diffusion Models? ❌ ✅ ✅ ❌ ❌ ❌ ✅ 3
RingAttention with Blockwise Transformers for Near-Infinite Context ✅ ✅ ✅ ❌ ✅ ❌ ✅ 5
Risk Bounds of Accelerated SGD for Overparameterized Linear Regression ❌ ❌ ❌ ❌ ❌ ❌ ✅ 1
Robot Fleet Learning via Policy Merging ✅ ✅ ✅ ❌ ❌ ❌ ✅ 4
Robust Adversarial Reinforcement Learning via Bounded Rationality Curricula ✅ ✅ ✅ ❌ ✅ ❌ ✅ 5
Robust Angular Synchronization via Directed Graph Neural Networks ✅ ✅ ✅ ❌ ✅ ❌ ✅ 5
Robust Classification via Regression for Learning with Noisy Labels ❌ ✅ ✅ ✅ ❌ ❌ ✅ 4
Robust Model Based Reinforcement Learning Using $\mathcal{L}_1$ Adaptive Control ✅ ❌ ✅ ❌ ❌ ❌ ✅ 3
Robust Model-Based Optimization for Challenging Fitness Landscapes ❌ ✅ ✅ ❌ ❌ ❌ ✅ 3
Robust NAS under adversarial training: benchmark, theory, and beyond ✅ ❌ ✅ ❌ ✅ ❌ ✅ 4
Robust Similarity Learning with Difference Alignment Regularization ✅ ❌ ✅ ✅ ✅ ❌ ✅ 5
Robust Training of Federated Models with Extremely Label Deficiency ✅ ✅ ✅ ✅ ❌ ❌ ✅ 5
Robust agents learn causal world models ✅ ❌ ❌ ❌ ❌ ❌ ❌ 1
RobustTSF: Towards Theory and Design of Robust Time Series Forecasting with Anomalies ✅ ✅ ✅ ❌ ✅ ❌ ✅ 5
Robustifying State-space Models for Long Sequences via Approximate Diagonalization ❌ ❌ ✅ ❌ ❌ ❌ ✅ 2
Robustifying and Boosting Training-Free Neural Architecture Search ✅ ✅ ✅ ✅ ✅ ❌ ✅ 6
Robustness of AI-Image Detectors: Fundamental Limits and Practical Attacks ✅ ✅ ✅ ✅ ❌ ❌ ✅ 5
Role of Locality and Weight Sharing in Image-Based Tasks: A Sample Complexity Separation between CNNs, LCNs, and FCNs ✅ ❌ ✅ ❌ ❌ ❌ ✅ 3
Rotation Has Two Sides: Evaluating Data Augmentation for Deep One-class Classification ❌ ❌ ✅ ❌ ❌ ❌ ✅ 2
S$2$AC: Energy-Based Reinforcement Learning with Stein Soft Actor Critic ✅ ✅ ✅ ❌ ❌ ❌ ✅ 4
SAFLEX: Self-Adaptive Augmentation via Feature Label Extrapolation ✅ ❌ ✅ ❌ ❌ ❌ ✅ 3
SALMON: Self-Alignment with Instructable Reward Models ❌ ✅ ✅ ❌ ❌ ❌ ✅ 3
SALMONN: Towards Generic Hearing Abilities for Large Language Models ❌ ✅ ✅ ❌ ❌ ❌ ✅ 3
SAN: Inducing Metrizability of GAN with Discriminative Normalized Linear Layer ✅ ✅ ✅ ❌ ❌ ❌ ✅ 4
SAS: Structured Activation Sparsification ✅ ✅ ✅ ❌ ✅ ❌ ✅ 5
SCHEMA: State CHangEs MAtter for Procedure Planning in Instructional Videos ❌ ✅ ✅ ❌ ✅ ❌ ✅ 4
SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis ✅ ❌ ✅ ❌ ❌ ❌ ✅ 3
SE(3)-Stochastic Flow Matching for Protein Backbone Generation ✅ ✅ ✅ ❌ ✅ ❌ ✅ 5
SEA: Sparse Linear Attention with Estimated Attention Mask ❌ ✅ ✅ ❌ ✅ ✅ ✅ 5
SEABO: A Simple Search-Based Method for Offline Imitation Learning ✅ ✅ ✅ ❌ ✅ ✅ ✅ 6
SEAL: A Framework for Systematic Evaluation of Real-World Super-Resolution ✅ ✅ ✅ ✅ ❌ ❌ ✅ 5
SEGNO: Generalizing Equivariant Graph Neural Networks with Physical Inductive Biases ❌ ❌ ✅ ✅ ✅ ❌ ✅ 4
SEINE: Short-to-Long Video Diffusion Model for Generative Transition and Prediction ❌ ✅ ✅ ❌ ❌ ❌ ✅ 3
SEPT: Towards Efficient Scene Representation Learning for Motion Prediction ❌ ❌ ✅ ✅ ✅ ❌ ✅ 4
SF(DA)$^2$: Source-free Domain Adaptation Through the Lens of Data Augmentation ✅ ✅ ✅ ❌ ✅ ❌ ✅ 5
SGD Finds then Tunes Features in Two-Layer Neural Networks with near-Optimal Sample Complexity: A Case Study in the XOR problem ❌ ❌ ❌ ❌ ❌ ❌ ❌ 0
SILO Language Models: Isolating Legal Risk In a Nonparametric Datastore ❌ ❌ ✅ ✅ ✅ ❌ ✅ 4
SKILL-MIX: a Flexible and Expandable Family of Evaluations for AI Models ❌ ❌ ✅ ❌ ✅ ❌ ✅ 3
SLiMe: Segment Like Me ❌ ✅ ✅ ✅ ❌ ✅ ✅ 5
SNIP: Bridging Mathematical Symbolic and Numeric Realms with Unified Pre-training ❌ ✅ ✅ ❌ ❌ ❌ ✅ 3
SOHES: Self-supervised Open-world Hierarchical Entity Segmentation ❌ ❌ ✅ ❌ ✅ ❌ ✅ 3
SOInter: A Novel Deep Energy-Based Interpretation Method for Explaining Structured Output Models ❌ ❌ ✅ ❌ ✅ ❌ ✅ 3
SOTOPIA: Interactive Evaluation for Social Intelligence in Language Agents ❌ ✅ ✅ ❌ ❌ ✅ ✅ 4
SPDER: Semiperiodic Damping-Enabled Object Representation ❌ ✅ ✅ ❌ ✅ ❌ ✅ 4
SPTNet: An Efficient Alternative Framework for Generalized Category Discovery with Spatial Prompt Tuning ❌ ✅ ✅ ✅ ✅ ❌ ✅ 5
SRL: Scaling Distributed Reinforcement Learning to Over Ten Thousand Cores ✅ ✅ ✅ ❌ ✅ ✅ ✅ 6
STARC: A General Framework For Quantifying Differences Between Reward Functions ❌ ❌ ❌ ❌ ✅ ❌ ❌ 1
STREAM: Spatio-TempoRal Evaluation and Analysis Metric for Video Generative Models ✅ ❌ ✅ ❌ ❌ ❌ ✅ 3
STanHop: Sparse Tandem Hopfield Model for Memory-Enhanced Time Series Prediction ✅ ✅ ✅ ✅ ❌ ❌ ✅ 5
SWAP-NAS: Sample-Wise Activation Patterns for Ultra-fast NAS ✅ ✅ ✅ ✅ ✅ ❌ ✅ 6
SWAP: Sparse Entropic Wasserstein Regression for Robust Network Pruning ✅ ✅ ✅ ❌ ✅ ❌ ✅ 5
SWE-bench: Can Language Models Resolve Real-world Github Issues? ❌ ✅ ✅ ✅ ✅ ❌ ✅ 5
SYMBOL: Generating Flexible Black-Box Optimizers through Symbolic Equation Learning ✅ ✅ ✅ ❌ ✅ ❌ ✅ 5
SaNN: Simple Yet Powerful Simplicial-aware Neural Networks ❌ ❌ ✅ ✅ ❌ ❌ ✅ 3
SaProt: Protein Language Modeling with Structure-aware Vocabulary ❌ ✅ ✅ ✅ ✅ ❌ ✅ 5
Safe Collaborative Filtering ✅ ✅ ✅ ✅ ✅ ❌ ✅ 6
Safe Offline Reinforcement Learning with Feasibility-Guided Diffusion Model ✅ ✅ ✅ ❌ ✅ ❌ ✅ 5
Safe RLHF: Safe Reinforcement Learning from Human Feedback ❌ ✅ ✅ ❌ ✅ ✅ ✅ 5
Safe and Robust Watermark Injection with a Single OoD Image ❌ ✅ ✅ ❌ ❌ ❌ ✅ 3
SafeDreamer: Safe Reinforcement Learning with World Models ✅ ✅ ✅ ❌ ✅ ✅ ✅ 6
Safety-Tuned LLaMAs: Lessons From Improving the Safety of Large Language Models that Follow Instructions ❌ ✅ ✅ ✅ ✅ ❌ ✅ 5
SalUn: Empowering Machine Unlearning via Gradient-based Weight Saliency in Both Image Classification and Generation ✅ ✅ ✅ ✅ ❌ ❌ ✅ 5
Sample Efficient Myopic Exploration Through Multitask Reinforcement Learning with Diverse Tasks ✅ ❌ ✅ ❌ ❌ ❌ ✅ 3
Sample-Efficiency in Multi-Batch Reinforcement Learning: The Need for Dimension-Dependent Adaptivity ✅ ❌ ❌ ❌ ❌ ❌ ❌ 1
Sample-Efficient Learning of POMDPs with Multiple Observations In Hindsight ✅ ❌ ❌ ❌ ❌ ❌ ❌ 1
Sample-Efficient Linear Representation Learning from Non-IID Non-Isotropic Data ✅ ❌ ❌ ❌ ❌ ❌ ✅ 2
Sample-Efficient Multi-Agent RL: An Optimization Perspective ✅ ❌ ❌ ❌ ❌ ❌ ❌ 1
Sample-Efficient Quality-Diversity by Cooperative Coevolution ✅ ✅ ✅ ❌ ✅ ❌ ✅ 5
Sample-efficient Learning of Infinite-horizon Average-reward MDPs with General Function Approximation ✅ ❌ ❌ ❌ ❌ ❌ ❌ 1
Sampling Multimodal Distributions with the Vanilla Score: Benefits of Data-Based Initialization ❌ ❌ ❌ ❌ ❌ ❌ ✅ 1
Scalable Diffusion for Materials Generation ❌ ✅ ✅ ✅ ✅ ❌ ✅ 5
Scalable Language Model with Generalized Continual Learning ✅ ✅ ✅ ✅ ✅ ❌ ✅ 6
Scalable Modular Network: A Framework for Adaptive Learning via Agreement Routing ✅ ✅ ✅ ✅ ✅ ❌ ✅ 6
Scalable Monotonic Neural Networks ❌ ✅ ✅ ✅ ✅ ✅ ✅ 6
Scalable Neural Network Kernels ❌ ✅ ✅ ✅ ✅ ❌ ✅ 5
Scalable and Effective Implicit Graph Neural Networks on Large Graphs ✅ ❌ ✅ ✅ ✅ ❌ ✅ 5
Scale-Adaptive Diffusion Model for Complex Sketch Synthesis ❌ ✅ ✅ ✅ ✅ ❌ ✅ 5
ScaleCrafter: Tuning-free Higher-Resolution Visual Generation with Diffusion Models ❌ ❌ ✅ ❌ ✅ ❌ ✅ 3
Scaling Convex Neural Networks with Burer-Monteiro Factorization ❌ ❌ ✅ ❌ ✅ ❌ ✅ 3
Scaling Laws for Associative Memories ❌ ❌ ❌ ❌ ❌ ❌ ✅ 1
Scaling Laws for Sparsely-Connected Foundation Models ✅ ✅ ✅ ❌ ❌ ❌ ✅ 4
Scaling Laws of RoPE-based Extrapolation ❌ ✅ ✅ ❌ ✅ ❌ ✅ 4
Scaling Supervised Local Learning with Augmented Auxiliary Networks ❌ ✅ ✅ ✅ ✅ ❌ ✅ 5
Scaling for Training Time and Post-hoc Out-of-distribution Detection Enhancement ❌ ✅ ✅ ✅ ❌ ❌ ✅ 4
Scaling physics-informed hard constraints with mixture-of-experts ❌ ✅ ✅ ❌ ✅ ❌ ✅ 4
Score Models for Offline Goal-Conditioned Reinforcement Learning ✅ ✅ ✅ ❌ ❌ ❌ ✅ 4
Score Regularized Policy Optimization through Diffusion Behavior ✅ ✅ ✅ ✅ ✅ ❌ ✅ 6
Score-based generative models break the curse of dimensionality in learning a family of sub-Gaussian distributions ❌ ❌ ❌ ❌ ❌ ❌ ❌ 0
Searching for High-Value Molecules Using Reinforcement Learning and Transformers ❌ ❌ ✅ ❌ ✅ ✅ ✅ 4
Seeking Neural Nuggets: Knowledge Transfer in Large Language Models from a Parametric Perspective ❌ ✅ ✅ ❌ ❌ ❌ ✅ 3
Seer: Language Instructed Video Prediction with Latent Diffusion Models ❌ ✅ ✅ ✅ ✅ ❌ ✅ 5
Select to Perfect: Imitating desired behavior from large multi-agent data ❌ ✅ ✅ ❌ ✅ ❌ ✅ 4
Selective Mixup Fine-Tuning for Optimizing Non-Decomposable Objectives ✅ ✅ ✅ ✅ ✅ ❌ ✅ 6
Selective Visual Representations Improve Convergence and Generalization for Embodied AI ❌ ✅ ✅ ✅ ✅ ❌ ✅ 5
Self-Alignment with Instruction Backtranslation ❌ ❌ ✅ ❌ ❌ ❌ ✅ 2
Self-Consuming Generative Models Go MAD ❌ ❌ ✅ ❌ ❌ ❌ ✅ 2
Self-Guided Masked Autoencoders for Domain-Agnostic Self-Supervised Learning ✅ ✅ ✅ ✅ ❌ ❌ ✅ 5
Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection ✅ ✅ ✅ ✅ ✅ ❌ ✅ 6
Self-Supervised Contrastive Learning for Long-term Forecasting ✅ ✅ ✅ ✅ ❌ ❌ ✅ 5
Self-Supervised Dataset Distillation for Transfer Learning ✅ ✅ ✅ ❌ ❌ ❌ ✅ 4
Self-Supervised Heterogeneous Graph Learning: a Homophily and Heterogeneity View ✅ ✅ ✅ ❌ ❌ ❌ ✅ 4
Self-Supervised High Dynamic Range Imaging with Multi-Exposure Images in Dynamic Scenes ❌ ✅ ✅ ❌ ❌ ❌ ✅ 3
Self-Supervised Speech Quality Estimation and Enhancement Using Only Clean Speech ❌ ❌ ✅ ✅ ❌ ❌ ✅ 3
Self-contradictory Hallucinations of Large Language Models: Evaluation, Detection and Mitigation ✅ ✅ ✅ ✅ ✅ ❌ ✅ 6
Self-supervised Pocket Pretraining via Protein Fragment-Surroundings Alignment ✅ ✅ ✅ ✅ ✅ ❌ ✅ 6
Self-supervised Representation Learning from Random Data Projectors ✅ ✅ ✅ ❌ ✅ ❌ ✅ 5
SelfCheck: Using LLMs to Zero-Shot Check Their Own Step-by-Step Reasoning ❌ ❌ ✅ ❌ ❌ ✅ ✅ 3
Semantic Flow: Learning Semantic Fields of Dynamic Scenes from Monocular Videos ❌ ✅ ✅ ❌ ✅ ❌ ✅ 4
SemiReward: A General Reward Model for Semi-supervised Learning ✅ ✅ ✅ ✅ ✅ ❌ ✅ 6
Sentence-level Prompts Benefit Composed Image Retrieval ❌ ✅ ✅ ✅ ✅ ❌ ✅ 5
Separate and Diffuse: Using a Pretrained Diffusion Model for Better Source Separation ✅ ❌ ✅ ❌ ✅ ❌ ✅ 4
Separating common from salient patterns with Contrastive Representation Learning ❌ ✅ ✅ ✅ ❌ ❌ ✅ 4
SequenceMatch: Imitation Learning for Autoregressive Sequence Modelling with Backtracking ✅ ❌ ✅ ✅ ✅ ❌ ✅ 5
Set Learning for Accurate and Calibrated Models ✅ ✅ ✅ ✅ ✅ ❌ ✅ 6
SetCSE: Set Operations using Contrastive Learning of Sentence Embeddings ✅ ❌ ✅ ✅ ❌ ❌ ✅ 4
Shadow Cones: A Generalized Framework for Partial Order Embeddings ❌ ✅ ✅ ✅ ❌ ❌ ✅ 4
Sharpness-Aware Data Poisoning Attack ✅ ✅ ✅ ❌ ❌ ❌ ✅ 4
Sharpness-Aware Minimization Enhances Feature Quality via Balanced Learning ✅ ❌ ✅ ✅ ❌ ❌ ✅ 4
Sheared LLaMA: Accelerating Language Model Pre-training via Structured Pruning ✅ ✅ ✅ ✅ ✅ ❌ ✅ 6
Sign2GPT: Leveraging Large Language Models for Gloss-Free Sign Language Translation ❌ ❌ ✅ ❌ ✅ ❌ ✅ 3
Simple Hierarchical Planning with Diffusion ✅ ❌ ✅ ✅ ✅ ❌ ✅ 5
Simple Minimax Optimal Byzantine Robust Algorithm for Nonconvex Objectives with Uniform Gradient Heterogeneity ✅ ❌ ✅ ✅ ❌ ❌ ✅ 4
Simplicial Representation Learning with Neural $k$-Forms ✅ ✅ ✅ ✅ ❌ ❌ ✅ 5
Simplifying Transformer Blocks ❌ ✅ ✅ ✅ ✅ ❌ ✅ 5
Sin3DM: Learning a Diffusion Model from a Single 3D Textured Shape ❌ ✅ ✅ ❌ ✅ ❌ ✅ 4
SineNet: Learning Temporal Dynamics in Time-Dependent Partial Differential Equations ❌ ✅ ✅ ✅ ✅ ❌ ✅ 5
Single Motion Diffusion ❌ ✅ ✅ ❌ ✅ ❌ ✅ 4
Skeleton-of-Thought: Prompting LLMs for Efficient Parallel Generation ❌ ✅ ✅ ❌ ✅ ✅ ✅ 5
Skill Machines: Temporal Logic Skill Composition in Reinforcement Learning ✅ ❌ ✅ ❌ ❌ ❌ ✅ 3
Skill or Luck? Return Decomposition via Advantage Functions ✅ ❌ ✅ ❌ ✅ ❌ ✅ 4
Skip-Attention: Improving Vision Transformers by Paying Less Attention ❌ ✅ ✅ ✅ ✅ ❌ ✅ 5
SliceGPT: Compress Large Language Models by Deleting Rows and Columns ✅ ✅ ✅ ❌ ✅ ✅ ✅ 6
Sliced Denoising: A Physics-Informed Molecular Pre-Training Method ✅ ✅ ✅ ✅ ✅ ✅ ✅ 7
Sliced Wasserstein Estimation with Control Variates ✅ ✅ ✅ ❌ ✅ ❌ ✅ 5
Small-scale proxies for large-scale Transformer training instabilities ❌ ❌ ✅ ❌ ✅ ❌ ✅ 3
SmartPlay : A Benchmark for LLMs as Intelligent Agents ❌ ✅ ✅ ❌ ❌ ❌ ✅ 3
Smooth ECE: Principled Reliability Diagrams via Kernel Smoothing ✅ ✅ ✅ ✅ ❌ ❌ ✅ 5
Social Reward: Evaluating and Enhancing Generative AI through Million-User Feedback from an Online Creative Community ❌ ✅ ❌ ✅ ✅ ❌ ✅ 4
Social-Transmotion: Promptable Human Trajectory Prediction ❌ ✅ ✅ ✅ ✅ ❌ ✅ 5
SocioDojo: Building Lifelong Analytical Agents with Real-world Text and Time Series ❌ ✅ ✅ ❌ ❌ ❌ ✅ 3
Soft Contrastive Learning for Time Series ❌ ✅ ✅ ✅ ❌ ❌ ✅ 4
Soft Mixture Denoising: Beyond the Expressive Bottleneck of Diffusion Models ✅ ✅ ✅ ❌ ❌ ❌ ❌ 3
Soft Robust MDPs and Risk-Sensitive MDPs: Equivalence, Policy Gradient, and Sample Complexity ✅ ❌ ❌ ❌ ❌ ❌ ❌ 1
Solving Challenging Math Word Problems Using GPT-4 Code Interpreter with Code-based Self-Verification ❌ ❌ ✅ ❌ ❌ ❌ ✅ 2
Solving Diffusion ODEs with Optimal Boundary Conditions for Better Image Super-Resolution ❌ ❌ ✅ ❌ ✅ ❌ ✅ 3
Solving High Frequency and Multi-Scale PDEs with Gaussian Processes ❌ ✅ ❌ ❌ ✅ ❌ ✅ 3
Solving Homogeneous and Heterogeneous Cooperative Tasks with Greedy Sequential Execution ❌ ❌ ✅ ❌ ✅ ❌ ✅ 3
Solving Inverse Problems with Latent Diffusion Models via Hard Data Consistency ✅ ✅ ✅ ✅ ✅ ❌ ✅ 6
Some Fundamental Aspects about Lipschitz Continuity of Neural Networks ❌ ✅ ✅ ✅ ❌ ❌ ✅ 4
Sophia: A Scalable Stochastic Second-order Optimizer for Language Model Pre-training ✅ ❌ ✅ ✅ ✅ ❌ ✅ 5
Source-Free and Image-Only Unsupervised Domain Adaptation for Category Level Object Pose Estimation ❌ ❌ ✅ ❌ ✅ ❌ ✅ 3
SpQR: A Sparse-Quantized Representation for Near-Lossless LLM Weight Compression ✅ ❌ ✅ ❌ ✅ ❌ ✅ 4
SpaCE: The Spatial Confounding Environment ✅ ✅ ✅ ✅ ✅ ✅ ✅ 7
Space Group Constrained Crystal Generation ❌ ✅ ✅ ✅ ❌ ❌ ✅ 4
Space and time continuous physics simulation from partial observations ❌ ❌ ✅ ✅ ❌ ❌ ✅ 3
Sparse Autoencoders Find Highly Interpretable Features in Language Models ❌ ✅ ✅ ❌ ✅ ❌ ✅ 4
Sparse MoE with Language Guided Routing for Multilingual Machine Translation ✅ ✅ ✅ ✅ ✅ ✅ ✅ 7
Sparse Model Soups: A Recipe for Improved Pruning via Model Averaging ✅ ✅ ✅ ✅ ❌ ❌ ✅ 5
Sparse Spiking Neural Network: Exploiting Heterogeneity in Timescales for Pruning Recurrent SNN ✅ ❌ ✅ ✅ ❌ ❌ ✅ 4
Sparse Weight Averaging with Multiple Particles for Iterative Magnitude Pruning ✅ ✅ ✅ ✅ ✅ ✅ ✅ 7
SparseDFF: Sparse-View Feature Distillation for One-Shot Dexterous Manipulation ❌ ✅ ✅ ❌ ✅ ❌ ✅ 4
SparseFormer: Sparse Visual Recognition via Limited Latent Tokens ❌ ✅ ✅ ✅ ✅ ❌ ✅ 5
Sparsistency for inverse optimal transport ❌ ✅ ❌ ❌ ❌ ❌ ✅ 2
Spatially-Aware Transformers for Embodied Agents ✅ ✅ ✅ ❌ ✅ ❌ ✅ 5
Spatio-Temporal Approximation: A Training-Free SNN Conversion for Transformers ✅ ✅ ✅ ❌ ❌ ❌ ✅ 4
Spatio-Temporal Few-Shot Learning via Diffusive Neural Network Generation ✅ ✅ ✅ ❌ ✅ ❌ ✅ 5
Spectrally Transformed Kernel Regression ✅ ✅ ✅ ✅ ❌ ❌ ✅ 5
SpeechTokenizer: Unified Speech Tokenizer for Speech Language Models ❌ ✅ ✅ ✅ ✅ ❌ ✅ 5
Spike-driven Transformer V2: Meta Spiking Neural Network Architecture Inspiring the Design of Next-generation Neuromorphic Chips ❌ ✅ ✅ ✅ ❌ ❌ ✅ 4
SpikePoint: An Efficient Point-based Spiking Neural Network for Event Cameras Action Recognition ✅ ❌ ✅ ✅ ✅ ✅ ✅ 6
Spoken Question Answering and Speech Continuation Using Spectrogram-Powered LLM ❌ ❌ ✅ ❌ ✅ ❌ ✅ 3
Spurious Feature Diversification Improves Out-of-distribution Generalization ❌ ❌ ✅ ❌ ❌ ❌ ✅ 2
Stabilizing Backpropagation Through Time to Learn Complex Physics ❌ ✅ ❌ ❌ ❌ ❌ ✅ 2
Stabilizing Contrastive RL: Techniques for Robotic Goal Reaching from Offline Data ❌ ✅ ✅ ❌ ✅ ❌ ✅ 4
Stable Anisotropic Regularization ✅ ✅ ✅ ✅ ✅ ❌ ✅ 6
Stable Neural Stochastic Differential Equations in Analyzing Irregular Time Series Data ✅ ✅ ✅ ✅ ✅ ❌ ✅ 6
Stack Attention: Improving the Ability of Transformers to Model Hierarchical Patterns ✅ ✅ ✅ ✅ ✅ ❌ ✅ 6
State Representation Learning Using an Unbalanced Atlas ✅ ✅ ✅ ❌ ✅ ✅ ✅ 6
Statistical Perspective of Top-K Sparse Softmax Gating Mixture of Experts ❌ ❌ ❌ ❌ ❌ ❌ ✅ 1
Statistical Rejection Sampling Improves Preference Optimization ✅ ❌ ✅ ✅ ❌ ❌ ✅ 4
Statistically Optimal $K$-means Clustering via Nonnegative Low-rank Semidefinite Programming ✅ ❌ ✅ ❌ ❌ ❌ ✅ 3
Steve-Eye: Equipping LLM-based Embodied Agents with Visual Perception in Open Worlds ❌ ✅ ✅ ❌ ❌ ❌ ❌ 2
Stochastic Controlled Averaging for Federated Learning with Communication Compression ✅ ❌ ✅ ❌ ❌ ❌ ✅ 3
Stochastic Gradient Descent for Gaussian Processes Done Right ✅ ✅ ✅ ✅ ✅ ✅ ✅ 7
Stochastic Modified Equations and Dynamics of Dropout Algorithm ❌ ❌ ✅ ❌ ❌ ❌ ✅ 2
Str2Str: A Score-based Framework for Zero-shot Protein Conformation Sampling ✅ ✅ ✅ ❌ ✅ ❌ ✅ 5
Strategic Preys Make Acute Predators: Enhancing Camouflaged Object Detectors by Generating Camouflaged Objects ❌ ✅ ✅ ❌ ✅ ❌ ✅ 4
StructComp: Substituting propagation with Structural Compression in Training Graph Contrastive Learning ❌ ✅ ✅ ❌ ✅ ❌ ✅ 4
Structural Estimation of Partially Observed Linear Non-Gaussian Acyclic Model: A Practical Approach with Identifiability ✅ ❌ ✅ ❌ ❌ ❌ ❌ 2
Structural Fairness-aware Active Learning for Graph Neural Networks ✅ ✅ ✅ ❌ ❌ ❌ ✅ 4
Structural Inference with Dynamics Encoding and Partial Correlation Coefficients ✅ ✅ ✅ ✅ ✅ ❌ ✅ 6
Structured Video-Language Modeling with Temporal Grouping and Spatial Grounding ❌ ❌ ✅ ✅ ✅ ❌ ✅ 4
Structuring Representation Geometry with Rotationally Equivariant Contrastive Learning ✅ ✅ ✅ ❌ ✅ ❌ ✅ 5
Stylized Offline Reinforcement Learning: Extracting Diverse High-Quality Behaviors from Heterogeneous Datasets ✅ ✅ ✅ ❌ ❌ ❌ ✅ 4
SuRe: Summarizing Retrievals using Answer Candidates for Open-domain QA of LLMs ✅ ✅ ✅ ✅ ❌ ✅ ✅ 6
Submodular Reinforcement Learning ✅ ✅ ✅ ❌ ❌ ❌ ✅ 4
Subtractive Mixture Models via Squaring: Representation and Learning ✅ ✅ ✅ ✅ ✅ ❌ ✅ 6
Successor Heads: Recurring, Interpretable Attention Heads In The Wild ❌ ❌ ✅ ✅ ❌ ❌ ✅ 3
Sudden Drops in the Loss: Syntax Acquisition, Phase Transitions, and Simplicity Bias in MLMs ❌ ❌ ✅ ❌ ✅ ✅ ✅ 4
Sufficient conditions for offline reactivation in recurrent neural networks ❌ ✅ ❌ ❌ ❌ ✅ ✅ 3
Sum-Product-Set Networks: Deep Tractable Models for Tree-Structured Graphs ✅ ✅ ✅ ✅ ✅ ✅ ✅ 7
Supervised Knowledge Makes Large Language Models Better In-context Learners ✅ ✅ ✅ ✅ ❌ ❌ ❌ 4
SweetDreamer: Aligning Geometric Priors in 2D diffusion for Consistent Text-to-3D ❌ ✅ ✅ ❌ ✅ ✅ ✅ 5
Symbol as Points: Panoptic Symbol Spotting via Point-based Representation ❌ ✅ ✅ ❌ ✅ ❌ ✅ 4
Symmetric Basis Convolutions for Learning Lagrangian Fluid Mechanics ❌ ✅ ✅ ✅ ✅ ❌ ✅ 5
Symmetric Mean-field Langevin Dynamics for Distributional Minimax Problems ✅ ❌ ❌ ❌ ❌ ❌ ✅ 2
Symmetric Neural-Collapse Representations with Supervised Contrastive Loss: The Impact of ReLU and Batching ✅ ❌ ✅ ❌ ✅ ❌ ✅ 4
Symmetric Single Index Learning ❌ ❌ ❌ ❌ ❌ ❌ ✅ 1
Symphony: Symmetry-Equivariant Point-Centered Spherical Harmonics for 3D Molecule Generation ✅ ✅ ✅ ✅ ✅ ❌ ✅ 6
Synapse: Trajectory-as-Exemplar Prompting with Memory for Computer Control ❌ ✅ ✅ ❌ ❌ ✅ ✅ 4
Synaptic Weight Distributions Depend on the Geometry of Plasticity ❌ ✅ ✅ ✅ ✅ ❌ ✅ 5
SyncDreamer: Generating Multiview-consistent Images from a Single-view Image ❌ ❌ ✅ ❌ ✅ ❌ ✅ 3
Synergistic Patch Pruning for Vision Transformer: Unifying Intra- & Inter-Layer Patch Importance ✅ ✅ ✅ ❌ ✅ ✅ ✅ 6
T-MARS: Improving Visual Representations by Circumventing Text Feature Learning ✅ ❌ ✅ ❌ ✅ ❌ ✅ 4
T-Rep: Representation Learning for Time Series using Time-Embeddings ❌ ✅ ✅ ✅ ✅ ✅ ✅ 6
TAB: Temporal Accumulated Batch Normalization in Spiking Neural Networks ✅ ✅ ✅ ✅ ✅ ❌ ✅ 6
TACTiS-2: Better, Faster, Simpler Attentional Copulas for Multivariate Time Series ❌ ✅ ✅ ✅ ✅ ❌ ✅ 5
TAIL: Task-specific Adapters for Imitation Learning with Large Pretrained Models ❌ ❌ ✅ ✅ ✅ ✅ ✅ 5
TD-MPC2: Scalable, Robust World Models for Continuous Control ❌ ✅ ✅ ❌ ✅ ❌ ✅ 4
TEDDY: Trimming Edges with Degree-based Discrimination Strategy ✅ ✅ ✅ ✅ ✅ ❌ ✅ 6
TEMPO: Prompt-based Generative Pre-trained Transformer for Time Series Forecasting ❌ ✅ ✅ ✅ ✅ ❌ ✅ 5
TEST: Text Prototype Aligned Embedding to Activate LLM's Ability for Time Series ✅ ✅ ✅ ❌ ✅ ❌ ✅ 5
TESTAM: A Time-Enhanced Spatio-Temporal Attention Model with Mixture of Experts ❌ ✅ ✅ ✅ ✅ ❌ ✅ 5
THOUGHT PROPAGATION: AN ANALOGICAL APPROACH TO COMPLEX REASONING WITH LARGE LANGUAGE MODELS ✅ ✅ ✅ ❌ ❌ ❌ ❌ 3
TOSS: High-quality Text-guided Novel View Synthesis from a Single Image ❌ ❌ ✅ ✅ ✅ ✅ ✅ 5
TRAM: Bridging Trust Regions and Sharpness Aware Minimization ✅ ✅ ✅ ✅ ✅ ❌ ✅ 6
TUVF: Learning Generalizable Texture UV Radiance Fields ✅ ✅ ✅ ❌ ✅ ✅ ✅ 6
TabR: Tabular Deep Learning Meets Nearest Neighbors ❌ ✅ ✅ ✅ ✅ ❌ ✅ 5
Tackling the Data Heterogeneity in Asynchronous Federated Learning with Cached Update Calibration ✅ ❌ ✅ ✅ ✅ ❌ ✅ 5
Tag2Text: Guiding Vision-Language Model via Image Tagging ❌ ✅ ✅ ✅ ✅ ❌ ✅ 5
Tailoring Self-Rationalizers with Multi-Reward Distillation ❌ ✅ ✅ ✅ ✅ ❌ ✅ 5
Take a Step Back: Evoking Reasoning via Abstraction in Large Language Models ❌ ❌ ✅ ✅ ❌ ❌ ✅ 3
Talk like a Graph: Encoding Graphs for Large Language Models ❌ ❌ ✅ ❌ ✅ ✅ ✅ 4
Tangent Transformers for Composition,Privacy and Removal ❌ ✅ ✅ ❌ ❌ ❌ ✅ 3
TapMo: Shape-aware Motion Generation of Skeleton-free Characters ❌ ❌ ✅ ✅ ❌ ❌ ✅ 3
Task Adaptation from Skills: Information Geometry, Disentanglement, and New Objectives for Unsupervised Reinforcement Learning ✅ ❌ ❌ ❌ ❌ ❌ ✅ 2
Task Planning for Visual Room Rearrangement under Partial Observability ✅ ❌ ✅ ✅ ❌ ❌ ✅ 4
Task structure and nonlinearity jointly determine learned representational geometry ❌ ❌ ✅ ❌ ❌ ❌ ❌ 1
Teach LLMs to Phish: Stealing Private Information from Language Models ❌ ❌ ✅ ❌ ✅ ❌ ✅ 3
Teaching Arithmetic to Small Transformers ✅ ✅ ✅ ✅ ✅ ✅ ✅ 7
Teaching Language Models to Hallucinate Less with Synthetic Tasks ❌ ❌ ✅ ✅ ✅ ❌ ✅ 4
Teaching Large Language Models to Self-Debug ❌ ❌ ✅ ✅ ❌ ❌ ✅ 3
Tell Your Model Where to Attend: Post-hoc Attention Steering for LLMs ✅ ✅ ✅ ✅ ✅ ❌ ✅ 6
Temporal Generalization Estimation in Evolving Graphs ✅ ❌ ✅ ❌ ✅ ❌ ✅ 4
Tensor Programs VI: Feature Learning in Infinite Depth Neural Networks ✅ ❌ ✅ ❌ ❌ ❌ ✅ 3
Tensor Trust: Interpretable Prompt Injection Attacks from an Online Game ❌ ✅ ✅ ✅ ❌ ✅ ✅ 5
Test-Time Adaptation with CLIP Reward for Zero-Shot Generalization in Vision-Language Models ❌ ✅ ✅ ✅ ✅ ❌ ✅ 5
Test-Time Training on Nearest Neighbors for Large Language Models ❌ ✅ ✅ ✅ ✅ ❌ ✅ 5
Test-time Adaptation against Multi-modal Reliability Bias ❌ ✅ ✅ ❌ ✅ ❌ ✅ 4
Text-to-3D with Classifier Score Distillation ❌ ✅ ✅ ❌ ✅ ❌ ✅ 4
Text2Reward: Reward Shaping with Language Models for Reinforcement Learning ❌ ❌ ✅ ❌ ✅ ✅ ✅ 4
TextField3D: Towards Enhancing Open-Vocabulary 3D Generation with Noisy Text Fields ❌ ❌ ✅ ✅ ✅ ❌ ✅ 4
The Alignment Problem from a Deep Learning Perspective ❌ ❌ ✅ ❌ ❌ ✅ ✅ 3
The All-Seeing Project: Towards Panoptic Visual Recognition and Understanding of the Open World ✅ ✅ ✅ ❌ ✅ ❌ ✅ 5
The Blessing of Randomness: SDE Beats ODE in General Diffusion-based Image Editing ✅ ✅ ✅ ✅ ✅ ❌ ✅ 6
The Consensus Game: Language Model Generation via Equilibrium Search ❌ ❌ ✅ ❌ ❌ ❌ ✅ 2
The Cost of Scaling Down Large Language Models: Reducing Model Size Affects Memory before In-context Learning ✅ ❌ ✅ ✅ ✅ ❌ ✅ 5
The Curse of Diversity in Ensemble-Based Exploration ✅ ✅ ✅ ❌ ✅ ✅ ✅ 6
The Devil is in the Neurons: Interpreting and Mitigating Social Biases in Language Models ❌ ✅ ❌ ❌ ❌ ❌ ❌ 1
The Devil is in the Object Boundary: Towards Annotation-free Instance Segmentation using Foundation Models ✅ ✅ ✅ ✅ ✅ ❌ ✅ 6
The Effect of Intrinsic Dataset Properties on Generalization: Unraveling Learning Differences Between Natural and Medical Images ❌ ✅ ✅ ❌ ❌ ❌ ✅ 3
The Effective Horizon Explains Deep RL Performance in Stochastic Environments ✅ ✅ ✅ ❌ ❌ ❌ ✅ 4
The Effectiveness of Random Forgetting for Robust Generalization ✅ ✅ ✅ ✅ ✅ ❌ ✅ 6
The Expressive Leaky Memory Neuron: an Efficient and Expressive Phenomenological Neuron Model Can Solve Long-Horizon Tasks. ❌ ✅ ✅ ✅ ✅ ✅ ✅ 6
The Expressive Power of Low-Rank Adaptation ❌ ✅ ✅ ✅ ✅ ❌ ✅ 5
The Expressive Power of Transformers with Chain of Thought ❌ ❌ ❌ ❌ ❌ ❌ ❌ 0
The False Promise of Imitating Proprietary Language Models ❌ ✅ ✅ ❌ ✅ ❌ ✅ 4
The Generalization Gap in Offline Reinforcement Learning ❌ ✅ ✅ ✅ ✅ ❌ ✅ 5
The Generative AI Paradox: “What It Can Create, It May Not Understand” ❌ ❌ ✅ ❌ ❌ ❌ ✅ 2
The Hedgehog & the Porcupine: Expressive Linear Attentions with Softmax Mimicry ✅ ❌ ✅ ✅ ✅ ❌ ✅ 5
The Hidden Language of Diffusion Models ❌ ✅ ✅ ✅ ✅ ❌ ✅ 5
The Human-AI Substitution game: active learning from a strategic labeler ✅ ❌ ❌ ❌ ❌ ❌ ✅ 2
The Joint Effect of Task Similarity and Overparameterization on Catastrophic Forgetting — An Analytical Model ✅ ❌ ✅ ❌ ❌ ❌ ✅ 3
The LLM Surgeon ✅ ✅ ✅ ❌ ❌ ❌ ✅ 4
The Lipschitz-Variance-Margin Tradeoff for Enhanced Randomized Smoothing ✅ ❌ ✅ ❌ ✅ ❌ ✅ 4
The Marginal Value of Momentum for Small Learning Rate SGD ❌ ❌ ✅ ✅ ❌ ❌ ✅ 3
The Need for Speed: Pruning Transformers with One Recipe ✅ ✅ ✅ ❌ ✅ ❌ ✅ 5
The Reasonableness Behind Unreasonable Translation Capability of Large Language Model ❌ ✅ ✅ ✅ ✅ ❌ ✅ 5
The Reversal Curse: LLMs trained on “A is B” fail to learn “B is A” ❌ ✅ ❌ ❌ ✅ ❌ ✅ 3
The Trickle-down Impact of Reward Inconsistency on RLHF ✅ ❌ ✅ ✅ ❌ ❌ ✅ 4
The Truth is in There: Improving Reasoning in Language Models with Layer-Selective Rank Reduction ❌ ✅ ✅ ✅ ✅ ❌ ✅ 5
The Unlocking Spell on Base LLMs: Rethinking Alignment via In-Context Learning ❌ ✅ ✅ ❌ ❌ ❌ ✅ 3
The Unreasonable Effectiveness of Linear Prediction as a Perceptual Metric ✅ ✅ ✅ ✅ ✅ ❌ ✅ 6
The Update-Equivalence Framework for Decision-Time Planning ✅ ❌ ✅ ❌ ❌ ❌ ✅ 3
The Wasserstein Believer: Learning Belief Updates for Partially Observable Environments through Reliable Latent Space Models ✅ ✅ ✅ ❌ ✅ ❌ ✅ 5
The importance of feature preprocessing for differentially private linear optimization ✅ ❌ ✅ ❌ ❌ ❌ ✅ 3
The mechanistic basis of data dependence and abrupt learning in an in-context classification task ❌ ❌ ✅ ❌ ❌ ❌ ✅ 2
The optimality of kernel classifiers in Sobolev space ❌ ❌ ✅ ❌ ❌ ❌ ✅ 2
Theoretical Analysis of Robust Overfitting for Wide DNNs: An NTK Approach ✅ ✅ ✅ ✅ ❌ ❌ ✅ 5
Theoretical Understanding of Learning from Adversarial Perturbations ❌ ✅ ✅ ❌ ✅ ❌ ✅ 4
Thin-Shell Object Manipulations With Differentiable Physics Simulations ❌ ❌ ❌ ❌ ✅ ✅ ✅ 3
Think before you speak: Training Language Models With Pause Tokens ✅ ❌ ✅ ❌ ❌ ❌ ✅ 3
Think-on-Graph: Deep and Responsible Reasoning of Large Language Model on Knowledge Graph ✅ ✅ ✅ ❌ ✅ ❌ ✅ 5
Threaten Spiking Neural Networks through Combining Rate and Temporal Information ✅ ✅ ✅ ❌ ❌ ❌ ✅ 4
Threshold-Consistent Margin Loss for Open-World Deep Metric Learning ✅ ❌ ✅ ✅ ✅ ❌ ✅ 5
TiC-CLIP: Continual Training of CLIP Models ❌ ✅ ✅ ❌ ❌ ❌ ✅ 3
Tight Rates in Supervised Outlier Transfer Learning ❌ ❌ ❌ ❌ ❌ ❌ ❌ 0
Time Fairness in Online Knapsack Problems ❌ ✅ ❌ ❌ ❌ ❌ ✅ 2
Time Travel in LLMs: Tracing Data Contamination in Large Language Models ❌ ✅ ✅ ✅ ❌ ✅ ✅ 5
Time-Efficient Reinforcement Learning with Stochastic Stateful Policies ✅ ✅ ✅ ❌ ❌ ❌ ❌ 3
Time-LLM: Time Series Forecasting by Reprogramming Large Language Models ❌ ✅ ✅ ✅ ✅ ❌ ✅ 5
Time-Varying Propensity Score to Bridge the Gap between the Past and Present ✅ ❌ ✅ ✅ ✅ ✅ ✅ 6
TimeMixer: Decomposable Multiscale Mixing for Time Series Forecasting ❌ ✅ ✅ ✅ ✅ ❌ ✅ 5
To Grok or not to Grok: Disentangling Generalization and Memorization on Corrupted Algorithmic Datasets ❌ ✅ ❌ ❌ ✅ ❌ ✅ 3
To the Cutoff... and Beyond? A Longitudinal Perspective on LLM Data Contamination ❌ ✅ ✅ ❌ ❌ ❌ ❌ 2
ToRA: A Tool-Integrated Reasoning Agent for Mathematical Problem Solving ✅ ✅ ✅ ❌ ❌ ❌ ✅ 4
TokenFlow: Consistent Diffusion Features for Consistent Video Editing ✅ ❌ ✅ ❌ ❌ ❌ ✅ 3
Tool-Augmented Reward Modeling ❌ ✅ ✅ ❌ ✅ ❌ ✅ 4
ToolChain*: Efficient Action Space Navigation in Large Language Models with A* Search ✅ ❌ ✅ ❌ ✅ ✅ ✅ 5
ToolLLM: Facilitating Large Language Models to Master 16000+ Real-world APIs ❌ ✅ ✅ ❌ ❌ ❌ ✅ 3
Topic Modeling as Multi-Objective Contrastive Optimization ✅ ❌ ✅ ❌ ❌ ❌ ✅ 3
TopoMLP: A Simple yet Strong Pipeline for Driving Topology Reasoning ❌ ✅ ✅ ❌ ✅ ❌ ✅ 4
Topological data analysis on noisy quantum computers ✅ ❌ ❌ ✅ ✅ ❌ ✅ 4
TorchRL: A data-driven decision-making library for PyTorch ❌ ✅ ✅ ❌ ✅ ✅ ✅ 5
Toward Optimal Policy Population Growth in Two-Player Zero-Sum Games ✅ ✅ ✅ ❌ ✅ ✅ ✅ 6
Toward Student-oriented Teacher Network Training for Knowledge Distillation ❌ ❌ ✅ ❌ ❌ ❌ ✅ 2
Toward effective protection against diffusion-based mimicry through score distillation ✅ ✅ ✅ ❌ ✅ ❌ ✅ 5
Towards 3D Molecule-Text Interpretation in Language Models ❌ ✅ ✅ ✅ ✅ ❌ ✅ 5
Towards Aligned Layout Generation via Diffusion Model with Aesthetic Constraints ❌ ✅ ✅ ✅ ❌ ❌ ✅ 4
Towards Assessing and Benchmarking Risk-Return Tradeoff of Off-Policy Evaluation ❌ ✅ ✅ ❌ ✅ ✅ ✅ 5
Towards Best Practices of Activation Patching in Language Models: Metrics and Methods ❌ ❌ ✅ ❌ ❌ ❌ ✅ 2
Towards Category Unification of 3D Single Object Tracking on Point Clouds ❌ ❌ ✅ ❌ ✅ ❌ ✅ 3
Towards Characterizing Domain Counterfactuals for Invertible Latent Causal Models ❌ ✅ ✅ ✅ ❌ ❌ ✅ 4
Towards Cheaper Inference in Deep Networks with Lower Bit-Width Accumulators ❌ ❌ ✅ ✅ ✅ ❌ ✅ 4
Towards Codable Watermarking for Injecting Multi-Bits Information to LLMs ✅ ✅ ✅ ❌ ❌ ❌ ✅ 4
Towards Cross Domain Generalization of Hamiltonian Representation via Meta Learning ❌ ❌ ❌ ✅ ✅ ✅ ✅ 4
Towards Diverse Behaviors: A Benchmark for Imitation Learning with Human Demonstrations ❌ ✅ ✅ ✅ ❌ ❌ ✅ 4
Towards Eliminating Hard Label Constraints in Gradient Inversion Attacks ✅ ✅ ✅ ❌ ❌ ❌ ✅ 4
Towards Energy Efficient Spiking Neural Networks: An Unstructured Pruning Framework ✅ ✅ ✅ ❌ ❌ ❌ ✅ 4
Towards Enhancing Time Series Contrastive Learning: A Dynamic Bad Pair Mining Approach ✅ ✅ ✅ ✅ ✅ ✅ ✅ 7
Towards Establishing Guaranteed Error for Learned Database Operations ❌ ❌ ❌ ❌ ❌ ❌ ❌ 0
Towards Faithful Explanations: Boosting Rationalization with Shortcuts Discovery ✅ ✅ ✅ ✅ ❌ ❌ ✅ 5
Towards Faithful XAI Evaluation via Generalization-Limited Backdoor Watermark ✅ ✅ ✅ ❌ ✅ ❌ ✅ 5
Towards Few-Shot Adaptation of Foundation Models via Multitask Finetuning ✅ ✅ ✅ ✅ ❌ ❌ ✅ 5
Towards Foundation Models for Knowledge Graph Reasoning ❌ ✅ ✅ ✅ ✅ ❌ ✅ 5
Towards Foundational Models for Molecular Learning on Large-Scale Multi-Task Datasets ❌ ✅ ✅ ✅ ✅ ❌ ✅ 5
Towards Generative Abstract Reasoning: Completing Raven’s Progressive Matrix via Rule Abstraction and Selection ❌ ✅ ✅ ✅ ✅ ❌ ✅ 5
Towards Green AI in Fine-tuning Large Language Models via Adaptive Backpropagation ❌ ❌ ✅ ❌ ❌ ❌ ✅ 2
Towards Identifiable Unsupervised Domain Translation: A Diversified Distribution Matching Approach ❌ ✅ ✅ ❌ ✅ ❌ ✅ 4
Towards Imitation Learning to Branch for MIP: A Hybrid Reinforcement Learning based Sample Augmentation Approach ✅ ❌ ✅ ✅ ✅ ✅ ✅ 6
Towards LLM4QPE: Unsupervised Pretraining of Quantum Property Estimation and A Benchmark ❌ ❌ ✅ ❌ ❌ ❌ ✅ 2
Towards Lossless Dataset Distillation via Difficulty-Aligned Trajectory Matching ✅ ✅ ✅ ✅ ✅ ❌ ✅ 6
Towards Meta-Pruning via Optimal Transport ✅ ✅ ✅ ✅ ❌ ❌ ✅ 5
Towards Non-Asymptotic Convergence for Diffusion-Based Generative Models ❌ ❌ ❌ ❌ ❌ ❌ ❌ 0
Towards Offline Opponent Modeling with In-context Learning ✅ ❌ ✅ ❌ ❌ ❌ ✅ 3
Towards Optimal Feature-Shaping Methods for Out-of-Distribution Detection ❌ ✅ ✅ ✅ ✅ ❌ ✅ 5
Towards Optimal Regret in Adversarial Linear MDPs with Bandit Feedback ✅ ❌ ❌ ❌ ❌ ❌ ❌ 1
Towards Poisoning Fair Representations ✅ ❌ ✅ ❌ ❌ ❌ ✅ 3
Towards Principled Representation Learning from Videos for Reinforcement Learning ❌ ✅ ✅ ❌ ✅ ❌ ✅ 4
Towards Reliable and Efficient Backdoor Trigger Inversion via Decoupling Benign Features ✅ ✅ ✅ ❌ ✅ ❌ ✅ 5
Towards Robust Fidelity for Evaluating Explainability of Graph Neural Networks ✅ ✅ ✅ ✅ ✅ ✅ ✅ 7
Towards Robust Multi-Modal Reasoning via Model Selection ❌ ✅ ✅ ✅ ❌ ❌ ✅ 4
Towards Robust Offline Reinforcement Learning under Diverse Data Corruption ✅ ✅ ✅ ❌ ❌ ❌ ✅ 4
Towards Robust Out-of-Distribution Generalization Bounds via Sharpness ✅ ❌ ✅ ❌ ❌ ❌ ✅ 3
Towards Robust and Efficient Cloud-Edge Elastic Model Adaptation via Selective Entropy Distillation ✅ ✅ ✅ ❌ ✅ ❌ ✅ 5
Towards Seamless Adaptation of Pre-trained Models for Visual Place Recognition ❌ ✅ ✅ ✅ ✅ ❌ ✅ 5
Towards Training Without Depth Limits: Batch Normalization Without Gradient Explosion ❌ ✅ ✅ ❌ ❌ ❌ ✅ 3
Towards Transparent Time Series Forecasting ✅ ✅ ✅ ✅ ✅ ❌ ✅ 6
Towards Understanding Factual Knowledge of Large Language Models ❌ ✅ ✅ ❌ ❌ ❌ ❌ 2
Towards Understanding Sycophancy in Language Models ❌ ✅ ✅ ✅ ❌ ❌ ✅ 4
Towards Unified Multi-Modal Personalization: Large Vision-Language Models for Generative Recommendation and Beyond ❌ ❌ ✅ ✅ ✅ ❌ ✅ 4
Towards a statistical theory of data selection under weak supervision ❌ ✅ ✅ ✅ ❌ ❌ ✅ 4
Towards domain-invariant Self-Supervised Learning with Batch Styles Standardization ✅ ❌ ✅ ✅ ✅ ❌ ✅ 5
Towards image compression with perfect realism at ultra-low bitrates ❌ ❌ ✅ ✅ ✅ ❌ ✅ 4
Towards the Fundamental Limits of Knowledge Transfer over Finite Domains ❌ ❌ ❌ ❌ ❌ ❌ ✅ 1
Tractable MCMC for Private Learning with Pure and Gaussian Differential Privacy ✅ ❌ ✅ ❌ ❌ ❌ ✅ 3
Tractable Probabilistic Graph Representation Learning with Graph-Induced Sum-Product Networks ✅ ✅ ✅ ✅ ✅ ❌ ✅ 6
Training Bayesian Neural Networks with Sparse Subspace Variational Inference ✅ ✅ ✅ ❌ ❌ ❌ ✅ 4
Training Diffusion Models with Reinforcement Learning ❌ ✅ ✅ ❌ ✅ ❌ ✅ 4
Training Graph Transformers via Curriculum-Enhanced Attention Distillation ❌ ❌ ✅ ✅ ✅ ❌ ✅ 4
Training Socially Aligned Language Models on Simulated Social Interactions ✅ ✅ ✅ ❌ ✅ ❌ ✅ 5
Training Unbiased Diffusion Models From Biased Dataset ✅ ✅ ✅ ❌ ✅ ❌ ✅ 5
Training-free Multi-objective Diffusion Model for 3D Molecule Generation ✅ ❌ ✅ ✅ ❌ ❌ ✅ 4
Trajeglish: Traffic Modeling as Next-Token Prediction ✅ ❌ ✅ ✅ ✅ ❌ ✅ 5
Transferring Labels to Solve Annotation Mismatches Across Object Detection Datasets ❌ ✅ ✅ ✅ ✅ ❌ ✅ 5
Transferring Learning Trajectories of Neural Networks ✅ ❌ ✅ ✅ ✅ ❌ ✅ 5
Transformer Fusion with Optimal Transport ❌ ✅ ✅ ❌ ✅ ❌ ✅ 4
Transformer-Modulated Diffusion Models for Probabilistic Multivariate Time Series Forecasting ✅ ❌ ✅ ❌ ✅ ❌ ✅ 4
Transformer-VQ: Linear-Time Transformers via Vector Quantization ✅ ✅ ✅ ✅ ✅ ❌ ✅ 6
Transformers as Decision Makers: Provable In-Context Reinforcement Learning via Supervised Pretraining ❌ ✅ ❌ ❌ ❌ ❌ ✅ 2
Transformers can optimally learn regression mixture models ✅ ✅ ❌ ❌ ❌ ❌ ✅ 3
Transport meets Variational Inference: Controlled Monte Carlo Diffusions ✅ ✅ ✅ ✅ ❌ ❌ ✅ 5
Traveling Waves Encode The Recent Past and Enhance Sequence Learning ✅ ✅ ✅ ✅ ✅ ❌ ✅ 6
Treatment Effects Estimation By Uniform Transformer ✅ ❌ ❌ ❌ ✅ ❌ ✅ 3
Tree Cross Attention ✅ ✅ ✅ ❌ ✅ ❌ ✅ 5
Tree Search-Based Policy Optimization under Stochastic Execution Delay ✅ ✅ ✅ ❌ ✅ ❌ ✅ 5
Tree-Planner: Efficient Close-loop Task Planning with Large Language Models ✅ ❌ ✅ ✅ ❌ ❌ ✅ 4
True Knowledge Comes from Practice: Aligning Large Language Models with Embodied Environments via Reinforcement Learning ❌ ✅ ❌ ❌ ✅ ❌ ✅ 3
Tuning LayerNorm in Attention: Towards Efficient Multi-Modal LLM Finetuning ❌ ❌ ✅ ✅ ✅ ❌ ✅ 4
Turning large language models into cognitive models ❌ ✅ ✅ ✅ ❌ ❌ ✅ 4
Two-stage LLM Fine-tuning with Less Specialization and More Generalization ❌ ❌ ✅ ✅ ✅ ❌ ✅ 4
Two-timescale Extragradient for Finding Local Minimax Points ❌ ❌ ❌ ❌ ❌ ❌ ❌ 0
UC-NERF: Neural Radiance Field for Under-Calibrated Multi-View Cameras in Autonomous Driving ❌ ❌ ✅ ❌ ✅ ❌ ✅ 3
UNR-Explainer: Counterfactual Explanations for Unsupervised Node Representation Learning Models ✅ ✅ ✅ ❌ ❌ ✅ ✅ 5
USB-NeRF: Unrolling Shutter Bundle Adjusted Neural Radiance Fields ❌ ✅ ✅ ❌ ✅ ❌ ✅ 4
Un-Mixing Test-Time Normalization Statistics: Combatting Label Temporal Correlation ✅ ✅ ✅ ❌ ✅ ✅ ✅ 6
Unbalancedness in Neural Monge Maps Improves Unpaired Domain Translation ✅ ✅ ✅ ❌ ❌ ❌ ✅ 4
Unbiased Watermark for Large Language Models ✅ ❌ ✅ ❌ ✅ ❌ ✅ 4
Uncertainty Quantification via Stable Distribution Propagation ✅ ✅ ✅ ✅ ✅ ✅ ✅ 7
Uncertainty-aware Constraint Inference in Inverse Constrained Reinforcement Learning ✅ ✅ ✅ ❌ ✅ ❌ ✅ 5
Uncertainty-aware Graph-based Hyperspectral Image Classification ✅ ✅ ✅ ✅ ✅ ❌ ✅ 6
Unconstrained Stochastic CCA: Unifying Multiview and Self-Supervised Learning ✅ ✅ ✅ ❌ ✅ ❌ ✅ 5
Understanding Addition in Transformers ✅ ✅ ❌ ❌ ✅ ❌ ✅ 4
Understanding Augmentation-based Self-Supervised Representation Learning via RKHS Approximation and Regression ❌ ✅ ✅ ❌ ✅ ❌ ✅ 4
Understanding Catastrophic Forgetting in Language Models via Implicit Inference ❌ ✅ ✅ ❌ ❌ ❌ ✅ 3
Understanding Certified Training with Interval Bound Propagation ❌ ✅ ✅ ✅ ❌ ❌ ✅ 4
Understanding Convergence and Generalization in Federated Learning through Feature Learning Theory ❌ ✅ ✅ ❌ ✅ ❌ ✅ 4
Understanding Domain Generalization: A Noise Robustness Perspective ❌ ✅ ✅ ✅ ❌ ❌ ✅ 4
Understanding Expressivity of GNN in Rule Learning ✅ ✅ ✅ ✅ ✅ ❌ ✅ 6
Understanding In-Context Learning from Repetitions ❌ ✅ ✅ ❌ ✅ ❌ ✅ 4
Understanding In-Context Learning in Transformers and LLMs by Learning to Learn Discrete Functions ✅ ✅ ❌ ❌ ✅ ❌ ✅ 4
Understanding Reconstruction Attacks with the Neural Tangent Kernel and Dataset Distillation ✅ ✅ ✅ ❌ ✅ ❌ ✅ 5
Understanding Transferable Representation Learning and Zero-shot Transfer in CLIP ❌ ✅ ✅ ✅ ✅ ❌ ✅ 5
Understanding and Mitigating the Label Noise in Pre-training on Downstream Tasks ❌ ❌ ✅ ❌ ✅ ❌ ✅ 3
Understanding prompt engineering may not require rethinking generalization ✅ ❌ ✅ ❌ ❌ ❌ ✅ 3
Understanding the Effects of RLHF on LLM Generalisation and Diversity ❌ ✅ ✅ ✅ ❌ ❌ ✅ 4
Understanding the Robustness of Multi-modal Contrastive Learning to Distribution Shift ❌ ❌ ✅ ✅ ✅ ❌ ✅ 4
Understanding the Robustness of Randomized Feature Defense Against Query-Based Adversarial Attacks ✅ ✅ ✅ ✅ ❌ ❌ ✅ 5
Understanding when Dynamics-Invariant Data Augmentations Benefit Model-free Reinforcement Learning Updates ✅ ✅ ✅ ❌ ✅ ❌ ✅ 5
Uni-O4: Unifying Online and Offline Deep Reinforcement Learning with Multi-Step On-Policy Optimization ✅ ✅ ✅ ❌ ✅ ❌ ✅ 5
Uni-RLHF: Universal Platform and Benchmark Suite for Reinforcement Learning with Diverse Human Feedback ❌ ✅ ✅ ✅ ❌ ❌ ✅ 4
Uni3D: Exploring Unified 3D Representation at Scale ❌ ✅ ✅ ✅ ✅ ❌ ✅ 5
UniAdapter: Unified Parameter-Efficient Transfer Learning for Cross-modal Modeling ❌ ✅ ✅ ✅ ✅ ❌ ✅ 5
UniTabE: A Universal Pretraining Protocol for Tabular Foundation Model in Data Science ❌ ❌ ✅ ✅ ✅ ✅ ✅ 5
Unified Generative Modeling of 3D Molecules with Bayesian Flow Networks ✅ ✅ ✅ ✅ ❌ ❌ ✅ 5
Unified Human-Scene Interaction via Prompted Chain-of-Contacts ❌ ✅ ✅ ❌ ❌ ❌ ✅ 3
Unified Language-Vision Pretraining in LLM with Dynamic Discrete Visual Tokenization ❌ ✅ ✅ ✅ ✅ ❌ ✅ 5
Unified Projection-Free Algorithms for Adversarial DR-Submodular Optimization ✅ ✅ ❌ ❌ ✅ ✅ ✅ 5
Unifying Feature and Cost Aggregation with Transformers for Semantic and Visual Correspondence ❌ ❌ ✅ ✅ ❌ ❌ ❌ 2
Universal Backdoor Attacks ✅ ✅ ✅ ✅ ❌ ❌ ✅ 5
Universal Guidance for Diffusion Models ✅ ✅ ✅ ❌ ❌ ❌ ✅ 4
Universal Humanoid Motion Representations for Physics-Based Control ✅ ❌ ✅ ❌ ❌ ❌ ✅ 3
Universal Jailbreak Backdoors from Poisoned Human Feedback ❌ ✅ ✅ ❌ ❌ ❌ ❌ 2
UniversalNER: Targeted Distillation from Large Language Models for Open Named Entity Recognition ❌ ✅ ✅ ✅ ❌ ❌ ✅ 4
Unknown Domain Inconsistency Minimization for Domain Generalization ✅ ✅ ✅ ✅ ❌ ❌ ✅ 5
Unleashing Large-Scale Video Generative Pre-training for Visual Robot Manipulation ❌ ✅ ✅ ✅ ❌ ❌ ✅ 4
Unleashing the Potential of Fractional Calculus in Graph Neural Networks with FROND ❌ ✅ ✅ ✅ ✅ ❌ ✅ 5
Unleashing the Power of Pre-trained Language Models for Offline Reinforcement Learning ❌ ✅ ✅ ❌ ❌ ❌ ✅ 3
Unlocking the Power of Representations in Long-term Novelty-based Exploration ✅ ❌ ✅ ❌ ✅ ❌ ✅ 4
Unmasking and Improving Data Credibility: A Study with Datasets for Training Harmless Language Models ❌ ✅ ✅ ❌ ❌ ✅ ❌ 3
Unpaired Image-to-Image Translation via Neural Schrödinger Bridge ❌ ✅ ✅ ❌ ✅ ❌ ✅ 4
Unprocessing Seven Years of Algorithmic Fairness ❌ ✅ ✅ ✅ ✅ ❌ ✅ 5
Unraveling the Enigma of Double Descent: An In-depth Analysis through the Lens of Learned Feature Space ❌ ✅ ✅ ❌ ❌ ❌ ✅ 3
Unraveling the Key Components of OOD Generalization via Diversification ❌ ✅ ✅ ✅ ✅ ❌ ✅ 5
Unsupervised Order Learning ✅ ✅ ✅ ❌ ✅ ❌ ✅ 5
Unsupervised Pretraining for Fact Verification by Language Model Distillation ❌ ✅ ✅ ✅ ✅ ❌ ✅ 5
Unveiling Options with Neural Network Decomposition ✅ ✅ ✅ ❌ ❌ ❌ ✅ 4
Unveiling and Manipulating Prompt Influence in Large Language Models ❌ ✅ ✅ ❌ ✅ ❌ ✅ 4
Unveiling the Pitfalls of Knowledge Editing for Large Language Models ❌ ✅ ✅ ❌ ❌ ❌ ✅ 3
Unveiling the Unseen: Identifiable Clusters in Trained Depthwise Convolutional Kernels ❌ ❌ ✅ ❌ ❌ ❌ ✅ 2
V-DETR: DETR with Vertex Relative Position Encoding for 3D Object Detection ❌ ❌ ✅ ✅ ✅ ❌ ✅ 4
VBH-GNN: Variational Bayesian Heterogeneous Graph Neural Networks for Cross-subject Emotion Recognition ❌ ❌ ✅ ✅ ✅ ✅ ✅ 5
VCR-Graphormer: A Mini-batch Graph Transformer via Virtual Connections ❌ ✅ ✅ ✅ ✅ ❌ ✅ 5
VDC: Versatile Data Cleanser based on Visual-Linguistic Inconsistency by Multimodal Large Language Models ❌ ✅ ✅ ✅ ❌ ✅ ✅ 5
VDT: General-purpose Video Diffusion Transformers via Mask Modeling ❌ ✅ ✅ ❌ ✅ ❌ ✅ 4
VFLAIR: A Research Library and Benchmark for Vertical Federated Learning ✅ ✅ ✅ ✅ ✅ ❌ ✅ 6
VONet: Unsupervised Video Object Learning With Parallel U-Net Attention and Object-wise Sequential VAE ❌ ✅ ✅ ✅ ✅ ❌ ✅ 5
VQ-TR: Vector Quantized Attention for Time Series Forecasting ✅ ❌ ✅ ❌ ✅ ❌ ✅ 4
VQGraph: Rethinking Graph Representation Space for Bridging GNNs and MLPs ❌ ✅ ✅ ✅ ❌ ❌ ✅ 4
ValUES: A Framework for Systematic Validation of Uncertainty Estimation in Semantic Segmentation ❌ ✅ ✅ ✅ ❌ ❌ ✅ 4
Vanishing Gradients in Reinforcement Finetuning of Language Models ❌ ✅ ✅ ✅ ✅ ❌ ✅ 5
Variance Reduced Halpern Iteration for Finite-Sum Monotone Inclusions ✅ ✅ ❌ ❌ ❌ ❌ ✅ 3
Variance-aware Regret Bounds for Stochastic Contextual Dueling Bandits ✅ ✅ ✅ ❌ ❌ ❌ ✅ 4
Variance-enlarged Poisson Learning for Graph-based Semi-Supervised Learning with Extremely Sparse Labeled Data ✅ ✅ ✅ ❌ ❌ ❌ ✅ 4
Variational Bayesian Last Layers ✅ ✅ ✅ ✅ ✅ ❌ ✅ 6
Variational Inference for SDEs Driven by Fractional Noise ❌ ✅ ✅ ✅ ✅ ✅ ✅ 6
VeRA: Vector-based Random Matrix Adaptation ❌ ❌ ✅ ✅ ❌ ❌ ✅ 3
VersVideo: Leveraging Enhanced Temporal Diffusion Models for Versatile Video Generation ❌ ❌ ✅ ❌ ✅ ❌ ✅ 3
VertiBench: Advancing Feature Distribution Diversity in Vertical Federated Learning Benchmarks ✅ ✅ ✅ ✅ ✅ ✅ ✅ 7
ViDA: Homeostatic Visual Domain Adapter for Continual Test Time Adaptation ❌ ❌ ✅ ❌ ❌ ❌ ✅ 2
ViLMA: A Zero-Shot Benchmark for Linguistic and Temporal Grounding in Video-Language Models ❌ ✅ ✅ ✅ ✅ ❌ ❌ 4
Video Decomposition Prior: Editing Videos Layer by Layer ❌ ❌ ✅ ❌ ✅ ❌ ✅ 3
Video Language Planning ✅ ✅ ✅ ❌ ✅ ❌ ✅ 5
Views Can Be Deceiving: Improved SSL Through Feature Space Augmentation ✅ ❌ ✅ ✅ ❌ ❌ ✅ 4
Vision Transformers Need Registers ❌ ❌ ✅ ❌ ❌ ❌ ✅ 2
Vision-Language Foundation Models as Effective Robot Imitators ❌ ❌ ✅ ✅ ✅ ❌ ✅ 4
Vision-Language Models are Zero-Shot Reward Models for Reinforcement Learning ✅ ✅ ✅ ❌ ✅ ❌ ✅ 5
Vision-by-Language for Training-Free Compositional Image Retrieval ❌ ✅ ✅ ✅ ✅ ❌ ✅ 5
Visual Data-Type Understanding does not emerge from scaling Vision-Language Models ✅ ✅ ✅ ❌ ✅ ✅ ✅ 6
Vocos: Closing the gap between time-domain and Fourier-based neural vocoders for high-quality audio synthesis ✅ ✅ ✅ ❌ ✅ ❌ ✅ 5
Waxing-and-Waning: a Generic Similarity-based Framework for Efficient Self-Supervised Learning ❌ ❌ ✅ ❌ ❌ ❌ ✅ 2
Weaker MVI Condition: Extragradient Methods with Multi-Step Exploration ✅ ❌ ❌ ❌ ❌ ❌ ✅ 2
Weakly Supervised Virus Capsid Detection with Image-Level Annotations in Electron Microscopy Images ❌ ✅ ✅ ✅ ❌ ✅ ✅ 5
Weakly-supervised Audio Separation via Bi-modal Semantic Similarity ✅ ✅ ✅ ❌ ✅ ❌ ✅ 5
Weatherproofing Retrieval for Localization with Generative AI and Geometric Consistency ❌ ✅ ✅ ✅ ✅ ❌ ✅ 5
WebArena: A Realistic Web Environment for Building Autonomous Agents ❌ ✅ ✅ ❌ ❌ ❌ ✅ 3
What Algorithms can Transformers Learn? A Study in Length Generalization ✅ ❌ ❌ ❌ ❌ ❌ ✅ 2
What Makes Good Data for Alignment? A Comprehensive Study of Automatic Data Selection in Instruction Tuning ✅ ✅ ✅ ❌ ✅ ❌ ✅ 5
What Makes a Good Prune? Maximal Unstructured Pruning for Maximal Cosine Similarity ✅ ✅ ✅ ❌ ❌ ❌ ✅ 4
What Matters to You? Towards Visual Representation Alignment for Robot Learning ❌ ❌ ✅ ❌ ❌ ❌ ✅ 2
What does automatic differentiation compute for neural networks? ✅ ❌ ✅ ❌ ❌ ❌ ✅ 3
What does the Knowledge Neuron Thesis Have to do with Knowledge? ❌ ✅ ✅ ❌ ❌ ❌ ❌ 2
What's In My Big Data? ❌ ✅ ✅ ✅ ✅ ❌ ✅ 5
What's in a Prior? Learned Proximal Networks for Inverse Problems ✅ ✅ ✅ ❌ ✅ ✅ ✅ 6
When Do Prompting and Prefix-Tuning Work? A Theory of Capabilities and Limitations ❌ ✅ ✅ ❌ ❌ ❌ ✅ 3
When Scaling Meets LLM Finetuning: The Effect of Data, Model and Finetuning Method ❌ ❌ ✅ ✅ ❌ ❌ ✅ 3
When Semantic Segmentation Meets Frequency Aliasing ❌ ✅ ✅ ✅ ❌ ❌ ✅ 4
When can transformers reason with abstract symbols? ❌ ✅ ✅ ✅ ❌ ❌ ✅ 4
When should we prefer Decision Transformers for Offline Reinforcement Learning? ❌ ✅ ✅ ✅ ✅ ✅ ✅ 6
Where We Have Arrived in Proving the Emergence of Sparse Interaction Primitives in DNNs ❌ ✅ ✅ ❌ ❌ ❌ ✅ 3
Whittle Index with Multiple Actions and State Constraint for Inventory Management ✅ ✅ ❌ ✅ ✅ ❌ ✅ 5
Whole-Song Hierarchical Generation of Symbolic Music Using Cascaded Diffusion Models ✅ ✅ ✅ ❌ ❌ ❌ ✅ 4
Why is SAM Robust to Label Noise? ❌ ❌ ✅ ❌ ✅ ❌ ✅ 3
WildChat: 1M ChatGPT Interaction Logs in the Wild ❌ ❌ ✅ ✅ ✅ ❌ ✅ 4
WildFusion: Learning 3D-Aware Latent Diffusion Models in View Space ❌ ❌ ✅ ❌ ✅ ❌ ✅ 3
Win-Win: Training High-Resolution Vision Transformers from Two Windows ❌ ❌ ✅ ✅ ❌ ❌ ✅ 3
Window Attention is Bugged: How not to Interpolate Position Embeddings ❌ ✅ ✅ ✅ ✅ ✅ ✅ 6
WizardCoder: Empowering Code Large Language Models with Evol-Instruct ❌ ❌ ✅ ✅ ❌ ❌ ✅ 3
WizardLM: Empowering Large Pre-Trained Language Models to Follow Complex Instructions ❌ ❌ ✅ ❌ ✅ ❌ ✅ 3
Würstchen: An Efficient Architecture for Large-Scale Text-to-Image Diffusion Models ❌ ✅ ✅ ❌ ✅ ❌ ✅ 4
Xformer: Hybrid X-Shaped Transformer for Image Denoising ❌ ✅ ✅ ❌ ✅ ❌ ✅ 4
YaRN: Efficient Context Window Extension of Large Language Models ❌ ✅ ✅ ❌ ✅ ❌ ✅ 4
Yet Another ICU Benchmark: A Flexible Multi-Center Framework for Clinical ML ❌ ✅ ✅ ✅ ✅ ✅ ✅ 6
You Only Query Once: An Efficient Label-Only Membership Inference Attack ✅ ✅ ✅ ✅ ❌ ❌ ✅ 5
ZeRO++: Extremely Efficient Collective Communication for Large Model Training ✅ ✅ ✅ ❌ ✅ ❌ ❌ 4
Zero Bubble (Almost) Pipeline Parallelism ✅ ✅ ❌ ❌ ✅ ❌ ✅ 4
Zero and Few-shot Semantic Parsing with Ambiguous Inputs ❌ ✅ ✅ ✅ ❌ ❌ ✅ 4
Zero-Mean Regularized Spectral Contrastive Learning: Implicitly Mitigating Wrong Connections in Positive-Pair Graphs ✅ ❌ ✅ ✅ ✅ ❌ ✅ 5
Zero-Shot Continuous Prompt Transfer: Generalizing Task Semantics Across Language Models ❌ ✅ ✅ ❌ ❌ ❌ ✅ 3
Zero-Shot Robotic Manipulation with Pre-Trained Image-Editing Diffusion Models ✅ ❌ ✅ ❌ ✅ ❌ ✅ 4
Zero-Shot Robustification of Zero-Shot Models ✅ ✅ ✅ ✅ ✅ ❌ ✅ 6
ZeroFlow: Scalable Scene Flow via Distillation ✅ ✅ ✅ ✅ ✅ ❌ ❌ 5
Zeroth-Order Optimization Meets Human Feedback: Provable Learning via Ranking Oracles ✅ ❌ ✅ ❌ ❌ ❌ ✅ 3
ZipIt! Merging Models from Different Tasks without Training ❌ ✅ ✅ ✅ ❌ ❌ ✅ 4
Zipformer: A faster and better encoder for automatic speech recognition ✅ ✅ ✅ ❌ ✅ ❌ ✅ 5
Zoology: Measuring and Improving Recall in Efficient Language Models ✅ ✅ ✅ ✅ ✅ ❌ ✅ 6
f-FERM: A Scalable Framework for Robust Fair Empirical Risk Minimization ✅ ✅ ✅ ❌ ❌ ❌ ✅ 4
fairret: a Framework for Differentiable Fairness Regularization Terms ❌ ✅ ✅ ✅ ✅ ❌ ✅ 5
iGraphMix: Input Graph Mixup Method for Node Classification ✅ ❌ ✅ ✅ ✅ ✅ ✅ 6
iTransformer: Inverted Transformers Are Effective for Time Series Forecasting ✅ ✅ ✅ ✅ ✅ ❌ ✅ 6
lpNTK: Better Generalisation with Less Data via Sample Interaction During Learning ✅ ❌ ✅ ❌ ❌ ❌ ✅ 3
sRGB Real Noise Modeling via Noise-Aware Sampling with Normalizing Flows ✅ ❌ ✅ ✅ ❌ ❌ ✅ 4