ICLR 2024 Accepted Papers
The full list of 2,260 papers accepted at ICLR 2024 (International Conference on Learning Representations). Click any title for details, similar papers, and links to the original source. You can also search these papers by meaning, not just keywords.
Poster: 1,807Spotlight: 367Oral: 86
- In-Context Pretraining: Language Modeling Beyond Document BoundariesSpotlight14 citations
- L2MAC: Large Language Model Automatic Computer for Extensive Code GenerationPoster14 citations
- Language Control Diffusion: Efficiently Scaling through Space, Time, and TasksPoster14 citations
- Learning Personalized Causally Invariant Representations for Heterogeneous Federated ClientsPoster14 citations
- Meaning Representations from Trajectories in Autoregressive ModelsPoster14 citations
- Neur2RO: Neural Two-Stage Robust OptimizationPoster14 citations
- Object-Aware Inversion and Reassembly for Image EditingPoster14 citations
- On the Over-Memorization During Natural, Robust and Catastrophic OverfittingPoster14 citations
- Quick-Tune: Quickly Learning Which Pretrained Model to Finetune and HowOral14 citations
- RECOMBINER: Robust and Enhanced Compression with Bayesian Implicit Neural RepresentationsPoster14 citations
- Rayleigh Quotient Graph Neural Networks for Graph-level Anomaly DetectionPoster14 citations
- ResFields: Residual Neural Fields for Spatiotemporal SignalsSpotlight14 citations
- Revisiting the Last-Iterate Convergence of Stochastic Gradient MethodsPoster14 citations
- Robust Classification via Regression for Learning with Noisy LabelsPoster14 citations
- Scaling physics-informed hard constraints with mixture-of-expertsPoster14 citations
- Sliced Denoising: A Physics-Informed Molecular Pre-Training MethodPoster14 citations
- SocioDojo: Building Lifelong Analytical Agents with Real-world Text and Time SeriesSpotlight14 citations
- Sparse Spiking Neural Network: Exploiting Heterogeneity in Timescales for Pruning Recurrent SNNPoster14 citations
- Stable Anisotropic RegularizationPoster14 citations
- TAB: Temporal Accumulated Batch Normalization in Spiking Neural NetworksPoster14 citations
- TACTiS-2: Better, Faster, Simpler Attentional Copulas for Multivariate Time SeriesPoster14 citations
- Towards Aligned Layout Generation via Diffusion Model with Aesthetic ConstraintsPoster14 citations
- Towards Robust Offline Reinforcement Learning under Diverse Data CorruptionSpotlight14 citations
- Traveling Waves Encode The Recent Past and Enhance Sequence LearningPoster14 citations
- Zero Bubble (Almost) Pipeline ParallelismPoster14 citations
- Adversarial AutoMixupSpotlight13 citations
- Adversarial Training on Purification (AToP): Advancing Both Robustness and GeneralizationPoster13 citations
- Be Aware of the Neighborhood Effect: Modeling Selection Bias under InterferencePoster13 citations
- Boundary Denoising for Video Activity LocalizationPoster13 citations
- CALICO: Self-Supervised Camera-LiDAR Contrastive Pre-training for BEV PerceptionPoster13 citations
- Can We Evaluate Domain Adaptation Models Without Target-Domain Labels?Poster13 citations
- Chain of Log-Concave Markov ChainsPoster13 citations
- Compositional Preference Models for Aligning LMsPoster13 citations
- Conditional Information Bottleneck Approach for Time Series ImputationPoster13 citations
- Continuous-Multiple Image Outpainting in One-Step via Positional Query and A Diffusion-based ApproachPoster13 citations
- Counting Graph Substructures with Graph Neural NetworksPoster13 citations
- DENEVIL: TOWARDS DECIPHERING AND NAVIGATING THE ETHICAL VALUES OF LARGE LANGUAGE MODELS VIA INSTRUCTION LEARNINGPoster13 citations
- De novo Protein Design Using Geometric Vector Field NetworksSpotlight13 citations
- Differentiable Euler Characteristic Transforms for Shape ClassificationPoster13 citations
- Diffusion Model for Dense MatchingOral13 citations
- Discovering modular solutions that generalize compositionallyPoster13 citations
- Domain Randomization via Entropy MaximizationPoster13 citations
- Enhancing High-Resolution 3D Generation through Pixel-wise Gradient ClippingPoster13 citations
- Evaluating Representation Learning on the Protein Structure UniversePoster13 citations
- Exploring the Promise and Limits of Real-Time Recurrent LearningPoster13 citations
- Expressive Losses for Verified Robustness via Convex CombinationsPoster13 citations
- FedP3: Federated Personalized and Privacy-friendly Network Pruning under Model HeterogeneityPoster13 citations
- GTA: A Geometry-Aware Attention Mechanism for Multi-View TransformersPoster13 citations
- Generative Human Motion Stylization in Latent SpacePoster13 citations
- Goodhart's Law in Reinforcement LearningPoster13 citations
- How Over-Parameterization Slows Down Gradient Descent in Matrix Sensing: The Curses of Symmetry and InitializationSpotlight13 citations
- Image Inpainting via Tractable Steering of Diffusion ModelsPoster13 citations
- InstructDET: Diversifying Referring Object Detection with Generalized InstructionsPoster13 citations
- Kill Two Birds with One Stone: Rethinking Data Augmentation for Deep Long-tailed LearningPoster13 citations
- Latent 3D Graph DiffusionPoster13 citations
- Learning with Language-Guided State AbstractionsPoster13 citations
- LipVoicer: Generating Speech from Silent Videos Guided by Lip ReadingPoster13 citations
- Locality Sensitive Sparse Encoding for Learning World Models OnlinePoster13 citations
- Masked Completion via Structured Diffusion with White-Box TransformersPoster13 citations
- Masked Structural Growth for 2x Faster Language Model Pre-trainingPoster13 citations
- Neuroformer: Multimodal and Multitask Generative Pretraining for Brain DataPoster13 citations
- Noise Map Guidance: Inversion with Spatial Context for Real Image EditingPoster13 citations
- Noisy Interpolation Learning with Shallow Univariate ReLU NetworksSpotlight13 citations
- On the Posterior Distribution in Denoising: Application to Uncertainty QuantificationPoster13 citations
- On the hardness of learning under symmetriesSpotlight13 citations
- PRES: Toward Scalable Memory-Based Dynamic Graph Neural NetworksPoster13 citations
- Point2SSM: Learning Morphological Variations of Anatomies from Point CloudsSpotlight13 citations
- Pseudo-Generalized Dynamic View Synthesis from a VideoPoster13 citations
- Quantifying and Enhancing Multi-modal Robustness with Modality PreferencePoster13 citations
- Quantifying the Plausibility of Context Reliance in Neural Machine TranslationPoster13 citations
- Reward-Consistent Dynamics Models are Strongly Generalizable for Offline Reinforcement LearningSpotlight13 citations
- SineNet: Learning Temporal Dynamics in Time-Dependent Partial Differential EquationsPoster13 citations
- T-Rep: Representation Learning for Time Series using Time-EmbeddingsPoster13 citations
- Towards Faithful XAI Evaluation via Generalization-Limited Backdoor WatermarkPoster13 citations
- ViLMA: A Zero-Shot Benchmark for Linguistic and Temporal Grounding in Video-Language ModelsPoster13 citations
- Where We Have Arrived in Proving the Emergence of Sparse Interaction Primitives in DNNsPoster13 citations
- Adversarial Supervision Makes Layout-to-Image Diffusion Models ThrivePoster12 citations
- Attention-Guided Contrastive Role Representations for Multi-agent Reinforcement LearningPoster12 citations
- AutoCast++: Enhancing World Event Prediction with Zero-shot Ranking-based Context RetrievalPoster12 citations
- Bandits with Replenishable Knapsacks: the Best of both WorldsPoster12 citations
- Beam Enumeration: Probabilistic Explainability For Sample Efficient Self-conditioned Molecular DesignPoster12 citations
- Biased Temporal Convolution Graph Network for Time Series Forecasting with Missing ValuesPoster12 citations
- Blending Imitation and Reinforcement Learning for Robust Policy ImprovementSpotlight12 citations
- Boosting Graph Anomaly Detection with Adaptive Message PassingPoster12 citations
- Bounding the Expected Robustness of Graph Neural Networks Subject to Node Feature AttacksPoster12 citations
- BrainSCUBA: Fine-Grained Natural Language Captions of Visual Cortex SelectivityPoster12 citations
- CoT3DRef: Chain-of-Thoughts Data-Efficient 3D Visual GroundingPoster12 citations
- CompA: Addressing the Gap in Compositional Reasoning in Audio-Language ModelsPoster12 citations
- Explaining Time Series via Contrastive and Locally Sparse PerturbationsPoster12 citations
- Fantastic Generalization Measures are Nowhere to be FoundPoster12 citations
- Follow-Up Differential Descriptions: Language Models Resolve Ambiguities for Image ClassificationPoster12 citations
- From Bricks to Bridges: Product of Invariances to Enhance Latent Space CommunicationSpotlight12 citations
- From Graphs to Hypergraphs: Hypergraph Projection and its ReconstructionPoster12 citations
- Grokking as a First Order Phase Transition in Two Layer NetworksPoster12 citations
- HiGen: Hierarchical Graph Generative NetworksPoster12 citations
- How Well Do Supervised 3D Models Transfer to Medical Imaging Tasks?Oral12 citations
- HypeBoy: Generative Self-Supervised Representation Learning on HypergraphsPoster12 citations
- IMPUS: Image Morphing with Perceptually-Uniform Sampling Using Diffusion ModelsPoster12 citations
- Image2Sentence based Asymmetrical Zero-shot Composed Image RetrievalSpotlight12 citations
- Instructive Decoding: Instruction-Tuned Large Language Models are Self-Refiner from Noisy InstructionsSpotlight12 citations
- Internal Cross-layer Gradients for Extending Homogeneity to Heterogeneity in Federated LearningPoster12 citations
- Is attention required for ICL? Exploring the Relationship Between Model Architecture and In-Context Learning AbilityPoster12 citations
- Learning Hierarchical Polynomials with Three-Layer Neural NetworksPoster12 citations
- Learning to Make Adherence-aware AdvicePoster12 citations
- Leave-one-out Distinguishability in Machine LearningPoster12 citations
- LiDAR-PTQ: Post-Training Quantization for Point Cloud 3D Object DetectionPoster12 citations
- MINDE: Mutual Information Neural Diffusion EstimationPoster12 citations
- Memorization in Self-Supervised Learning Improves Downstream GeneralizationPoster12 citations
- Minimum width for universal approximation using ReLU networks on compact domainPoster12 citations
- Mitigating Emergent Robustness Degradation while Scaling Graph LearningPoster12 citations
- Multilinear Operator NetworksPoster12 citations
- Neural Neighborhood Search for Multi-agent Path FindingPoster12 citations
- NuwaDynamics: Discovering and Updating in Causal Spatio-Temporal ModelingSpotlight12 citations
- On the Scalability and Memory Efficiency of Semidefinite Programs for Lipschitz Constant Estimation of Neural NetworksPoster12 citations
- Overcoming the Pitfalls of Vision-Language Model Finetuning for OOD GeneralizationPoster12 citations
- PAC Prediction Sets Under Label ShiftPoster12 citations
- PORF: POSE RESIDUAL FIELD FOR ACCURATE NEURAL SURFACE RECONSTRUCTIONPoster12 citations
- PanoDiffusion: 360-degree Panorama Outpainting via DiffusionPoster12 citations
- PeFLL: Personalized Federated Learning by Learning to LearnPoster12 citations
- Prediction Error-based Classification for Class-Incremental LearningPoster12 citations
- Privacy Amplification for Matrix MechanismsSpotlight12 citations
- RDesign: Hierarchical Data-efficient Representation Learning for Tertiary Structure-based RNA DesignPoster12 citations
- Repeated Random Sampling for Minimizing the Time-to-Accuracy of LearningPoster12 citations
- Self-supervised Pocket Pretraining via Protein Fragment-Surroundings AlignmentPoster12 citations
- Simplicial Representation Learning with Neural $k$-FormsPoster12 citations
- Some Fundamental Aspects about Lipschitz Continuity of Neural NetworksPoster12 citations
- Spatio-Temporal Approximation: A Training-Free SNN Conversion for TransformersPoster12 citations
- Symphony: Symmetry-Equivariant Point-Centered Spherical Harmonics for 3D Molecule GenerationPoster12 citations
- TextField3D: Towards Enhancing Open-Vocabulary 3D Generation with Noisy Text FieldsPoster12 citations
- The Marginal Value of Momentum for Small Learning Rate SGDPoster12 citations
- Towards Assessing and Benchmarking Risk-Return Tradeoff of Off-Policy EvaluationPoster12 citations
- Towards Category Unification of 3D Single Object Tracking on Point CloudsPoster12 citations
- Unbalancedness in Neural Monge Maps Improves Unpaired Domain TranslationPoster12 citations
- Variance Reduced Halpern Iteration for Finite-Sum Monotone InclusionsPoster12 citations
- A Neural Framework for Generalized Causal Sensitivity AnalysisPoster11 citations
- A Progressive Training Framework for Spiking Neural Networks with Learnable Multi-hierarchical ModelPoster11 citations
- Adaptive Sharpness-Aware Pruning for Robust Sparse NetworksPoster11 citations
- Adaptive deep spiking neural network with global-local learning via balanced excitatory and inhibitory mechanismPoster11 citations
- AdjointDPM: Adjoint Sensitivity Method for Gradient Backpropagation of Diffusion Probabilistic ModelsPoster11 citations
- Adversarial Attacks on Fairness of Graph Neural NetworksPoster11 citations
- AttEXplore: Attribution for Explanation with model parameters eXplorationPoster11 citations
- BaDExpert: Extracting Backdoor Functionality for Accurate Backdoor Input DetectionPoster11 citations
- Boosting the Adversarial Robustness of Graph Neural Networks: An OOD PerspectivePoster11 citations
- Bounds on Representation-Induced Confounding Bias for Treatment Effect EstimationSpotlight11 citations
- Butterfly Effects of SGD Noise: Error Amplification in Behavior Cloning and AutoregressionPoster11 citations
- Conformal Prediction via Regression-as-ClassificationPoster11 citations
- ConjNorm: Tractable Density Estimation for Out-of-Distribution DetectionPoster11 citations
- Connect, Collapse, Corrupt: Learning Cross-Modal Tasks with Uni-Modal DataPoster11 citations
- Continuous Field Reconstruction from Sparse Observations with Implicit Neural NetworksPoster11 citations
- Crystalformer: Infinitely Connected Attention for Periodic Structure EncodingPoster11 citations
- Decentralized Riemannian Conjugate Gradient Method on the Stiefel ManifoldPoster11 citations
- Denoising Diffusion via Image-Based RenderingPoster11 citations
- Discovering Failure Modes of Text-guided Diffusion Models via Adversarial SearchPoster11 citations
- Domain-Inspired Sharpness-Aware Minimization Under Domain ShiftsPoster11 citations
- Efficient Backdoor Attacks for Deep Neural Networks in Real-world ScenariosPoster11 citations
- FLD: Fourier Latent Dynamics for Structured Motion Representation and LearningSpotlight11 citations
- Fantastic Gains and Where to Find Them: On the Existence and Prospect of General Knowledge Transfer between Any Pretrained ModelSpotlight11 citations
- Fast Imitation via Behavior Foundation ModelsSpotlight11 citations
- Federated Text-driven Prompt Generation for Vision-Language ModelsPoster11 citations
- GIO: Gradient Information Optimization for Training Dataset SelectionSpotlight11 citations
- GraphChef: Decision-Tree Recipes to Explain Graph Neural NetworksPoster11 citations
- High-dimensional SGD aligns with emerging outlier eigenspacesSpotlight11 citations
- Image Clustering Conditioned on Text CriteriaPoster11 citations
- Image Inpainting via Iteratively Decoupled Probabilistic ModelingSpotlight11 citations
- Improving Domain Generalization with Domain RelationsSpotlight11 citations
- LMUFormer: Low Complexity Yet Powerful Spiking Model With Legendre Memory UnitsPoster11 citations
- Language-Informed Visual Concept LearningPoster11 citations
- Large Content And Behavior Models To Understand, Simulate, And Optimize Content And BehaviorSpotlight11 citations
- Lifting Architectural Constraints of Injective FlowsPoster11 citations
- Magnitude Invariant Parametrizations Improve Hypernetwork LearningPoster11 citations
- Memory-Consistent Neural Networks for Imitation LearningPoster11 citations
- MixSup: Mixed-grained Supervision for Label-efficient LiDAR-based 3D Object DetectionPoster11 citations
- Mixture of Weak and Strong Experts on GraphsPoster11 citations
- Multi-modal Gaussian Process Variational Autoencoders for Neural and Behavioral DataPoster11 citations
- Neural Language of Thought ModelsPoster11 citations
- Neural Spectral Methods: Self-supervised learning in the spectral domainPoster11 citations
- On Error Propagation of Diffusion ModelsPoster11 citations
- Online Continual Learning for Interactive Instruction Following AgentsPoster11 citations
- Online Stabilization of Spiking Neural NetworksSpotlight11 citations
- Outliers with Opposing Signals Have an Outsized Effect on Neural Network OptimizationPoster11 citations
- Protein-ligand binding representation learning from fine-grained interactionsPoster11 citations
- R-MAE: Regions Meet Masked AutoencodersPoster11 citations
- Rethinking Branching on Exact Combinatorial Optimization Solver: The First Deep Symbolic Discovery FrameworkPoster11 citations
- Revisiting Deep Audio-Text Retrieval Through the Lens of TransportationPoster11 citations
- Robust Angular Synchronization via Directed Graph Neural NetworksPoster11 citations
- Sample-Efficient Quality-Diversity by Cooperative CoevolutionSpotlight11 citations
- Sampling Multimodal Distributions with the Vanilla Score: Benefits of Data-Based InitializationPoster11 citations
- SequenceMatch: Imitation Learning for Autoregressive Sequence Modelling with BacktrackingPoster11 citations
- SparseFormer: Sparse Visual Recognition via Limited Latent TokensPoster11 citations
- Stack Attention: Improving the Ability of Transformers to Model Hierarchical PatternsSpotlight11 citations
- TapMo: Shape-aware Motion Generation of Skeleton-free CharactersPoster11 citations
- Task structure and nonlinearity jointly determine learned representational geometryPoster11 citations
- The False Promise of Imitating Proprietary Language ModelsSpotlight11 citations
- Towards Robust and Efficient Cloud-Edge Elastic Model Adaptation via Selective Entropy DistillationPoster11 citations
- Towards Understanding Factual Knowledge of Large Language ModelsSpotlight11 citations
- Understanding prompt engineering may not require rethinking generalizationPoster11 citations
- Video Decomposition Prior: Editing Videos Layer by LayerPoster11 citations
- What Makes a Good Prune? Maximal Unstructured Pruning for Maximal Cosine SimilarityPoster11 citations
- Whittle Index with Multiple Actions and State Constraint for Inventory ManagementPoster11 citations
- Whole-Song Hierarchical Generation of Symbolic Music Using Cascaded Diffusion ModelsSpotlight11 citations
- 3D-Aware Hypothesis & Verification for Generalizable Relative Object Pose EstimationPoster10 citations
- A Benchmark Study on CalibrationPoster10 citations
- A Stable, Fast, and Fully Automatic Learning Algorithm for Predictive Coding NetworksPoster10 citations
- Adaptive Federated Learning with Auto-Tuned ClientsPoster10 citations
- Adaptive Self-training Framework for Fine-grained Scene Graph GenerationPoster10 citations
- Asymptotically Free Sketched Ridge Ensembles: Risks, Cross-Validation, and TuningSpotlight10 citations
- Bayesian Optimization through Gaussian Cox Process Models for Spatio-temporal DataPoster10 citations
- Bilevel Optimization under Unbounded Smoothness: A New Algorithm and Convergence AnalysisSpotlight10 citations
- Byzantine Robust Cooperative Multi-Agent Reinforcement Learning as a Bayesian GamePoster10 citations
- CO2: Efficient Distributed Training with Full Communication-Computation OverlapSpotlight10 citations
- COPlanner: Plan to Roll Out Conservatively but to Explore Optimistically for Model-Based RLPoster10 citations
- Causal Inference with Conditional Front-Door Adjustment and Identifiable Variational AutoencoderPoster10 citations
- Closing the Curious Case of Neural Text DegenerationPoster10 citations
- Delphic Offline Reinforcement Learning under Nonidentifiable Hidden ConfoundingPoster10 citations
- Differentially Private SGD Without Clipping Bias: An Error-Feedback ApproachPoster10 citations
- DiffusionNAG: Predictor-guided Neural Architecture Generation with Diffusion ModelsPoster10 citations
- DreamSmooth: Improving Model-based Reinforcement Learning via Reward SmoothingPoster10 citations
- Dual Associated Encoder for Face RestorationPoster10 citations
- Dynamic Discounted Counterfactual Regret MinimizationSpotlight10 citations
- EBMDock: Neural Probabilistic Protein-Protein Docking via a Differentiable Energy ModelPoster10 citations
- EControl: Fast Distributed Optimization with Compression and Error ControlPoster10 citations
- EQA-MX: Embodied Question Answering using Multimodal ExpressionSpotlight10 citations
- Elucidating the design space of classifier-guided diffusion generationPoster10 citations
- FedInverse: Evaluating Privacy Leakage in Federated LearningPoster10 citations
- FedLoGe: Joint Local and Generic Federated Learning under Long-tailed DataPoster10 citations
- Federated Causal Discovery from Heterogeneous DataPoster10 citations
- FreeReg: Image-to-Point Cloud Registration Leveraging Pretrained Diffusion Models and Monocular Depth EstimatorsPoster10 citations
- GAFormer: Enhancing Timeseries Transformers Through Group-Aware EmbeddingsPoster10 citations
- GNNCert: Deterministic Certification of Graph Neural Networks against Adversarial PerturbationsOral10 citations
- GOAt: Explaining Graph Neural Networks via Graph Output AttributionPoster10 citations
- Hebbian Learning based Orthogonal Projection for Continual Learning of Spiking Neural NetworksPoster10 citations
- Hindsight PRIORs for Reward Learning from Human PreferencesPoster10 citations
- Improving equilibrium propagation without weight symmetry through Jacobian homeostasisPoster10 citations
- Incremental Randomized Smoothing CertificationPoster10 citations
- JointNet: Extending Text-to-Image Diffusion for Dense Distribution ModelingPoster10 citations
- KITAB: Evaluating LLMs on Constraint Satisfaction for Information RetrievalPoster10 citations
- Learning 3D Particle-based Simulators from RGB-D VideosPoster10 citations
- Learning Energy-Based Models by Cooperative Diffusion Recovery LikelihoodSpotlight10 citations
- Learning Hierarchical Image Segmentation For Recognition and By RecognitionSpotlight10 citations
- Learning Multi-Agent Communication with Contrastive LearningPoster10 citations
- Lipschitz Singularities in Diffusion ModelsOral10 citations
- Lipsum-FT: Robust Fine-Tuning of Zero-Shot Models Using Random Text GuidancePoster10 citations
- Massively Scalable Inverse Reinforcement Learning in Google MapsSpotlight10 citations
- Measuring Vision-Language STEM Skills of Neural ModelsPoster10 citations
- MovingParts: Motion-based 3D Part Discovery in Dynamic Radiance FieldSpotlight10 citations
- Neural Contractive Dynamical SystemsSpotlight10 citations
- Offline Data Enhanced On-Policy Policy Gradient with Provable GuaranteesPoster10 citations
- Open-ended VQA benchmarking of Vision-Language models by exploiting Classification datasets and their semantic hierarchySpotlight10 citations
- Optimal Sample Complexity for Average Reward Markov Decision ProcessesPoster10 citations
- Predictive auxiliary objectives in deep RL mimic learning in the brainOral10 citations
- Prompt Risk Control: A Rigorous Framework for Responsible Deployment of Large Language ModelsPoster10 citations
- ReSimAD: Zero-Shot 3D Domain Transfer for Autonomous Driving with Source Reconstruction and Target SimulationPoster10 citations
- Reclaiming the Source of Programmatic Policies: Programmatic versus Latent SpacesPoster10 citations
- Rethinking Backdoor Attacks on Dataset Distillation: A Kernel Method PerspectivePoster10 citations
- Retrieval is Accurate GenerationPoster10 citations
- RobustTSF: Towards Theory and Design of Robust Time Series Forecasting with AnomaliesPoster10 citations
- SaNN: Simple Yet Powerful Simplicial-aware Neural NetworksSpotlight10 citations
- Scalable and Effective Implicit Graph Neural Networks on Large GraphsPoster10 citations
- Sharpness-Aware Data Poisoning AttackSpotlight10 citations
- Source-Free and Image-Only Unsupervised Domain Adaptation for Category Level Object Pose EstimationPoster10 citations
- Sparse MoE with Language Guided Routing for Multilingual Machine TranslationPoster10 citations
- Symmetric Mean-field Langevin Dynamics for Distributional Minimax ProblemsSpotlight10 citations
- Tailoring Self-Rationalizers with Multi-Reward DistillationPoster10 citations
- The Effect of Intrinsic Dataset Properties on Generalization: Unraveling Learning Differences Between Natural and Medical ImagesPoster10 citations
- The Need for Speed: Pruning Transformers with One RecipePoster10 citations
- Towards Optimal Regret in Adversarial Linear MDPs with Bandit FeedbackSpotlight10 citations
- Training Bayesian Neural Networks with Sparse Subspace Variational InferencePoster10 citations
- Training-free Multi-objective Diffusion Model for 3D Molecule GenerationPoster10 citations
- Uncertainty-aware Graph-based Hyperspectral Image ClassificationPoster10 citations
- Understanding Reconstruction Attacks with the Neural Tangent Kernel and Dataset DistillationPoster10 citations
- Unleashing the Potential of Fractional Calculus in Graph Neural Networks with FRONDSpotlight10 citations
- VBH-GNN: Variational Bayesian Heterogeneous Graph Neural Networks for Cross-subject Emotion RecognitionPoster10 citations
- When can transformers reason with abstract symbols?Poster10 citations
- When should we prefer Decision Transformers for Offline Reinforcement Learning?Poster10 citations
- A 2-Dimensional State Space Layer for Spatial Inductive BiasPoster9 citations
- A Foundation Model for Error Correction CodesPoster9 citations
- A General Framework for User-Guided Bayesian OptimizationSpotlight9 citations
- A Lie Group Approach to Riemannian Batch NormalizationPoster9 citations
- Approximating Nash Equilibria in Normal-Form Games via Stochastic OptimizationOral9 citations
- Are Human-generated Demonstrations Necessary for In-context Learning?Poster9 citations
- Are Models Biased on Text without Gender-related Language?Poster9 citations
- BarLeRIa: An Efficient Tuning Framework for Referring Image SegmentationSpotlight9 citations
- Batch normalization is sufficient for universal function approximation in CNNsPoster9 citations
- Bongard-OpenWorld: Few-Shot Reasoning for Free-form Visual Concepts in the Real WorldPoster9 citations
- Bootstrapping Variational Information Pursuit with Large Language and Vision Models for Interpretable Image ClassificationPoster9 citations
- Bridging Vision and Language Spaces with Assignment PredictionPoster9 citations
- CCIL: Continuity-Based Data Augmentation for Corrective Imitation LearningPoster9 citations
- COSA: Concatenated Sample Pretrained Vision-Language Foundation ModelPoster9 citations
- CrossLoco: Human Motion Driven Control of Legged Robots via Guided Unsupervised Reinforcement LearningPoster9 citations
- DP-SGD Without Clipping: The Lipschitz Neural Network WayPoster9 citations
- DiffEnc: Variational Diffusion with a Learned EncoderPoster9 citations
- DreamClean: Restoring Clean Image Using Deep Diffusion PriorPoster9 citations
- EX-Graph: A Pioneering Dataset Bridging Ethereum and XPoster9 citations
- Efficient Integrators for Diffusion Generative ModelsPoster9 citations
- Efficient Sharpness-Aware Minimization for Molecular Graph Transformer ModelsPoster9 citations
- End-to-End (Instance)-Image Goal Navigation through Correspondence as an Emergent PhenomenonPoster9 citations
- Enhancing Contrastive Learning for Ordinal Regression via Ordinal Content Preserved Data AugmentationPoster9 citations
- Extending Power of Nature from Binary to Real-Valued Graph Learning in Real WorldPoster9 citations
- Free from Bellman Completeness: Trajectory Stitching via Model-based Return-conditioned Supervised LearningPoster9 citations
- Gene Regulatory Network Inference in the Presence of Dropouts: a Causal ViewOral9 citations
- Grokking in Linear Estimators -- A Solvable Model that Groks without UnderstandingPoster9 citations
- Guess & Sketch: Language Model Guided TranspilationPoster9 citations
- H-GAP: Humanoid Control with a Generalist PlannerSpotlight9 citations
- InstructPix2NeRF: Instructed 3D Portrait Editing from a Single ImagePoster9 citations
- Investigating the Benefits of Projection Head for Representation LearningPoster9 citations
- Large Language Models as Automated Aligners for benchmarking Vision-Language ModelsPoster9 citations
- Learning Decentralized Partially Observable Mean Field Control for Artificial Collective BehaviorPoster9 citations
- Learning Flexible Body Collision Dynamics with Hierarchical Contact Mesh TransformerPoster9 citations
- Learning invariant representations of time-homogeneous stochastic dynamical systemsPoster9 citations
- Light-MILPopt: Solving Large-scale Mixed Integer Linear Programs with Lightweight Optimizer and Small-scale Training DatasetPoster9 citations
- MCM: Masked Cell Modeling for Anomaly Detection in Tabular DataPoster9 citations
- MOFI: Learning Image Representations from Noisy Entity Annotated ImagesPoster9 citations
- Mitigating the Curse of Dimensionality for Certified Robustness via Dual Randomized SmoothingPoster9 citations
- Neural-Symbolic Recursive Machine for Systematic GeneralizationPoster9 citations
- Non-negative Contrastive LearningPoster9 citations
- On gauge freedom, conservativity and intrinsic dimensionality estimation in diffusion modelsPoster9 citations
- Open the Black Box: Step-based Policy Updates for Temporally-Correlated Episodic Reinforcement LearningPoster9 citations
- Order-Preserving GFlowNetsPoster9 citations
- PerceptionCLIP: Visual Classification by Inferring and Conditioning on ContextsPoster9 citations
- Pessimistic Nonlinear Least-Squares Value Iteration for Offline Reinforcement LearningPoster9 citations
- Post-hoc bias scoring is optimal for fair classificationSpotlight9 citations
- Principled Federated Domain Adaptation: Gradient Projection and Auto-WeightingPoster9 citations
- Privately Aligning Language Models with Reinforcement LearningPoster9 citations
- Provably Robust Conformal Prediction with Improved EfficiencyPoster9 citations
- REBAR: Retrieval-Based Reconstruction for Time-series Contrastive LearningPoster9 citations
- Retrieval-based Disentangled Representation Learning with Natural Language SupervisionSpotlight9 citations
- Retro-fallback: retrosynthetic planning in an uncertain worldPoster9 citations
- Revisiting Data Augmentation in Deep Reinforcement LearningPoster9 citations
- Reward-Free Curricula for Training Robust World ModelsPoster9 citations
- Rigid Protein-Protein Docking via Equivariant Elliptic-Paraboloid Interface PredictionPoster9 citations
- SEAL: A Framework for Systematic Evaluation of Real-World Super-ResolutionSpotlight9 citations
- STARC: A General Framework For Quantifying Differences Between Reward FunctionsPoster9 citations
- Score Models for Offline Goal-Conditioned Reinforcement LearningPoster9 citations
- Self-Supervised Contrastive Learning for Long-term ForecastingPoster9 citations
- Self-Supervised Heterogeneous Graph Learning: a Homophily and Heterogeneity ViewPoster9 citations
- Self-supervised Representation Learning from Random Data ProjectorsPoster9 citations
- Solving Diffusion ODEs with Optimal Boundary Conditions for Better Image Super-ResolutionPoster9 citations
- Stochastic Modified Equations and Dynamics of Dropout AlgorithmPoster9 citations
- Stylized Offline Reinforcement Learning: Extracting Diverse High-Quality Behaviors from Heterogeneous DatasetsPoster9 citations
- Threaten Spiking Neural Networks through Combining Rate and Temporal InformationPoster9 citations
- UC-NERF: Neural Radiance Field for Under-Calibrated Multi-View Cameras in Autonomous DrivingPoster9 citations
- Uncertainty Quantification via Stable Distribution PropagationPoster9 citations
- Understanding the Robustness of Multi-modal Contrastive Learning to Distribution ShiftPoster9 citations
- Window Attention is Bugged: How not to Interpolate Position EmbeddingsPoster9 citations
- ZeRO++: Extremely Efficient Collective Communication for Large Model TrainingPoster9 citations
- A Data-Driven Measure of Relative Uncertainty for Misclassification DetectionPoster8 citations
- A Simple Romance Between Multi-Exit Vision Transformer and Token ReductionPoster8 citations
- Achieving Fairness in Multi-Agent MDP Using Reinforcement LearningPoster8 citations
- Adapting to Distribution Shift by Visual Domain Prompt GenerationPoster8 citations
- An Agnostic View on the Cost of Overfitting in (Kernel) Ridge RegressionPoster8 citations
- BECLR: Batch Enhanced Contrastive Few-Shot LearningSpotlight8 citations
- BRUSLEATTACK: A QUERY-EFFICIENT SCORE- BASED BLACK-BOX SPARSE ADVERSARIAL ATTACKPoster8 citations
- Backdoor Secrets Unveiled: Identifying Backdoor Data with Optimized Scaled Prediction ConsistencyPoster8 citations
- Bandits Meet Mechanism Design to Combat Clickbait in Online RecommendationSpotlight8 citations
- BatteryML: An Open-source Platform for Machine Learning on Battery DegradationSpotlight8 citations
- BayesPrompt: Prompting Large-Scale Pre-Trained Language Models on Few-shot Inference via Debiased Domain AbstractionPoster8 citations
- Beyond Stationarity: Convergence Analysis of Stochastic Softmax Policy Gradient MethodsPoster8 citations
- CORN: Contact-based Object Representation for Nonprehensile Manipulation of General Unseen ObjectsPoster8 citations
- Critical Learning Periods Emerge Even in Deep Linear NetworksSpotlight8 citations
- Cycle Consistency Driven Object DiscoveryPoster8 citations
- DAFA: Distance-Aware Fair Adversarial TrainingPoster8 citations
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- Conditional Variational Diffusion ModelsPoster4 citations
- Confidence-aware Reward Optimization for Fine-tuning Text-to-Image ModelsPoster4 citations
- ContextRef: Evaluating Referenceless Metrics for Image Description GenerationPoster4 citations
- Data-independent Module-aware Pruning for Hierarchical Vision TransformersPoster4 citations
- Decoupling Weighing and Selecting for Integrating Multiple Graph Pre-training TasksPoster4 citations
- Differentiable Learning of Generalized Structured Matrices for Efficient Deep Neural NetworksPoster4 citations
- Efficient Inverse Multiagent LearningSpotlight4 citations
- Energy-conserving equivariant GNN for elasticity of lattice architected metamaterialsPoster4 citations
- Enhancing Transferable Adversarial Attacks on Vision Transformers through Gradient Normalization Scaling and High-Frequency AdaptationPoster4 citations
- Error Norm Truncation: Robust Training in the Presence of Data Noise for Text Generation ModelsSpotlight4 citations
- Faithful Rule Extraction for Differentiable Rule Learning ModelsPoster4 citations
- Fast Hyperboloid Decision Tree AlgorithmsPoster4 citations
- Fast Value Tracking for Deep Reinforcement LearningPoster4 citations
- Few-shot Hybrid Domain Adaptation of Image GeneratorPoster4 citations
- GRAPH-CONSTRAINED DIFFUSION FOR END-TO-END PATH PLANNINGPoster4 citations
- Generating Pragmatic Examples to Train Neural Program SynthesizersPoster4 citations
- Global Optimality for Non-linear Constrained Restoration Problems via InvexityPoster4 citations
- Gradual Optimization Learning for Conformational Energy MinimizationPoster4 citations
- Graph Parsing NetworksPoster4 citations
- Harnessing Joint Rain-/Detail-aware Representations to Eliminate Intricate RainsPoster4 citations
- Horizon-Free Regret for Linear Markov Decision ProcessesPoster4 citations
- Horizon-free Reinforcement Learning in Adversarial Linear Mixture MDPsPoster4 citations
- Improved Analysis of Sparse Linear Regression in Local Differential Privacy ModelPoster4 citations
- In-context Exploration-Exploitation for Reinforcement LearningPoster4 citations
- Incentive-Aware Federated Learning with Training-Time Model RewardsPoster4 citations
- Integrating Planning and Deep Reinforcement Learning via Automatic Induction of Task SubstructuresPoster4 citations
- Jointly-Learned Exit and Inference for a Dynamic Neural NetworkPoster4 citations
- LCOT: Linear Circular Optimal TransportPoster4 citations
- LRR: Language-Driven Resamplable Continuous Representation against Adversarial Tracking AttacksPoster4 citations
- Learning Planning Abstractions from LanguagePoster4 citations
- Learning Stackable and Skippable LEGO Bricks for Efficient, Reconfigurable, and Variable-Resolution Diffusion ModelingPoster4 citations
- Learning model uncertainty as variance-minimizing instance weightsPoster4 citations
- Less is More: One-shot Subgraph Reasoning on Large-scale Knowledge GraphsPoster4 citations
- Leveraging Generative Models for Unsupervised Alignment of Neural Time Series DataPoster4 citations
- LightHGNN: Distilling Hypergraph Neural Networks into MLPs for 100x Faster InferencePoster4 citations
- Long-Term Typhoon Trajectory Prediction: A Physics-Conditioned Approach Without Reanalysis DataSpotlight4 citations
- MIntRec2.0: A Large-scale Benchmark Dataset for Multimodal Intent Recognition and Out-of-scope Detection in ConversationsPoster4 citations
- Masked Autoencoders with Multi-Window Local-Global Attention Are Better Audio LearnersPoster4 citations
- Mayfly: a Neural Data Structure for Graph Stream SummarizationSpotlight4 citations
- Meta-Evolve: Continuous Robot Evolution for One-to-many Policy TransferPoster4 citations
- Modeling Boundedly Rational Agents with Latent Inference BudgetsPoster4 citations
- Most discriminative stimuli for functional cell type clusteringPoster4 citations
- Multi-View Representation is What You Need for Point-Cloud Pre-TrainingPoster4 citations
- Multi-task Learning with 3D-Aware RegularizationPoster4 citations
- Nemesis: Normalizing the Soft-prompt Vectors of Vision-Language ModelsSpotlight4 citations
- Neural Snowflakes: Universal Latent Graph Inference via Trainable Latent GeometriesPoster4 citations
- Off-Policy Primal-Dual Safe Reinforcement LearningPoster4 citations
- On Stationary Point Convergence of PPO-ClipPoster4 citations
- On Trajectory Augmentations for Off-Policy EvaluationPoster4 citations
- On the Fairness ROAD: Robust Optimization for Adversarial DebiasingPoster4 citations
- On the Variance of Neural Network Training with respect to Test Sets and DistributionsPoster4 citations
- One-shot Active Learning Based on Lewis Weight Sampling for Multiple Deep ModelsPoster4 citations
- Online Information Acquisition: Hiring Multiple AgentsPoster4 citations
- Only Pay for What Is Uncertain: Variance-Adaptive Thompson SamplingPoster4 citations
- Orbit-Equivariant Graph Neural NetworksPoster4 citations
- PRIME: Prioritizing Interpretability in Failure Mode ExtractionPoster4 citations
- Parsing neural dynamics with infinite recurrent switching linear dynamical systemsPoster4 citations
- Piecewise Linear Parametrization of Policies: Towards Interpretable Deep Reinforcement LearningPoster4 citations
- Plug-and-Play Posterior Sampling under Mismatched Measurement and Prior ModelsPoster4 citations
- Policy Rehearsing: Training Generalizable Policies for Reinforcement LearningPoster4 citations
- Pre-training with Synthetic Data Helps Offline Reinforcement LearningPoster4 citations
- Procedural Fairness Through Decoupling Objectionable Data Generating ComponentsSpotlight4 citations
- Provably Efficient CVaR RL in Low-rank MDPsPoster4 citations
- R-EDL: Relaxing Nonessential Settings of Evidential Deep LearningSpotlight4 citations
- Reconciling Spatial and Temporal Abstractions for Goal RepresentationPoster4 citations
- Removing Biases from Molecular Representations via Information MaximizationPoster4 citations
- Representation Deficiency in Masked Language ModelingPoster4 citations
- Rethinking Adversarial Policies: A Generalized Attack Formulation and Provable Defense in RLPoster4 citations
- SEA: Sparse Linear Attention with Estimated Attention MaskPoster4 citations
- Safe and Robust Watermark Injection with a Single OoD ImagePoster4 citations
- Self-Guided Masked Autoencoders for Domain-Agnostic Self-Supervised LearningPoster4 citations
- Self-Supervised High Dynamic Range Imaging with Multi-Exposure Images in Dynamic ScenesPoster4 citations
- Solving High Frequency and Multi-Scale PDEs with Gaussian ProcessesPoster4 citations
- The Effective Horizon Explains Deep RL Performance in Stochastic EnvironmentsSpotlight4 citations
- The importance of feature preprocessing for differentially private linear optimizationPoster4 citations
- Theoretical Understanding of Learning from Adversarial PerturbationsPoster4 citations
- Threshold-Consistent Margin Loss for Open-World Deep Metric LearningPoster4 citations
- Towards Eliminating Hard Label Constraints in Gradient Inversion AttacksPoster4 citations
- Towards Principled Representation Learning from Videos for Reinforcement LearningSpotlight4 citations
- Towards domain-invariant Self-Supervised Learning with Batch Styles StandardizationPoster4 citations
- Tractable Probabilistic Graph Representation Learning with Graph-Induced Sum-Product NetworksPoster4 citations
- Unified Projection-Free Algorithms for Adversarial DR-Submodular OptimizationPoster4 citations
- Unraveling the Enigma of Double Descent: An In-depth Analysis through the Lens of Learned Feature SpacePoster4 citations
- Unveiling the Unseen: Identifiable Clusters in Trained Depthwise Convolutional KernelsPoster4 citations
- Variance-enlarged Poisson Learning for Graph-based Semi-Supervised Learning with Extremely Sparse Labeled DataPoster4 citations
- Weaker MVI Condition: Extragradient Methods with Multi-Step ExplorationPoster4 citations
- Win-Win: Training High-Resolution Vision Transformers from Two WindowsPoster4 citations
- fairret: a Framework for Differentiable Fairness Regularization TermsPoster4 citations
- $\mathbb{D}^2$ Pruning: Message Passing for Balancing Diversity & Difficulty in Data PruningPoster3 citations
- A Hierarchical Bayesian Model for Few-Shot Meta LearningSpotlight3 citations
- A Mutual Information Perspective on Federated Contrastive LearningSpotlight3 citations
- A Newborn Embodied Turing Test for Comparing Object Segmentation Across Animals and MachinesPoster3 citations
- ACRF: Compressing Explicit Neural Radiance Fields via Attribute CompressionPoster3 citations
- ASMR: Activation-Sharing Multi-Resolution Coordinate Networks for Efficient InferencePoster3 citations
- AUC-CL: A Batchsize-Robust Framework for Self-Supervised Contrastive Representation LearningPoster3 citations
- Accelerated Convergence of Stochastic Heavy Ball Method under Anisotropic Gradient NoisePoster3 citations
- Accelerating Distributed Stochastic Optimization via Self-Repellent Random WalksOral3 citations
- Active Retrosynthetic Planning Aware of Route QualityPoster3 citations
- Analyzing and Improving Optimal-Transport-based Adversarial NetworksPoster3 citations
- Augmented Bayesian Policy SearchPoster3 citations
- Augmenting Transformers with Recursively Composed Multi-grained RepresentationsPoster3 citations
- AutoLoRa: An Automated Robust Fine-Tuning FrameworkPoster3 citations
- Backdoor Contrastive Learning via Bi-level Trigger OptimizationPoster3 citations
- Better Neural PDE Solvers Through Data-Free Mesh MoversPoster3 citations
- Beyond Vanilla Variational Autoencoders: Detecting Posterior Collapse in Conditional and Hierarchical Variational AutoencodersPoster3 citations
- Branch-GAN: Improving Text Generation with (not so) Large Language ModelsPoster3 citations
- COCO-Periph: Bridging the Gap Between Human and Machine Perception in the PeripheryPoster3 citations
- Causal-StoNet: Causal Inference for High-Dimensional Complex DataPoster3 citations
- Causally Aligned Curriculum LearningPoster3 citations
- Certified Adversarial Robustness for Rate Encoded Spiking Neural NetworksPoster3 citations
- Class Probability Matching with Calibrated Networks for Label Shift AdaptionPoster3 citations
- Compose and Conquer: Diffusion-Based 3D Depth Aware Composable Image SynthesisPoster3 citations
- Compressing Latent Space via Least VolumePoster3 citations
- Conserve-Update-Revise to Cure Generalization and Robustness Trade-off in Adversarial TrainingPoster3 citations
- Constrained Decoding for Cross-lingual Label ProjectionPoster3 citations
- Contextual Bandits with Online Neural RegressionPoster3 citations
- Continuous Invariance LearningPoster3 citations
- Convolutional Deep Kernel MachinesPoster3 citations
- DRSM: De-Randomized Smoothing on Malware Classifier Providing Certified RobustnessPoster3 citations
- Diverse Projection Ensembles for Distributional Reinforcement LearningPoster3 citations
- Does Progress On Object Recognition Benchmarks Improve Generalization on Crowdsourced, Global Data?Poster3 citations
- Doubly Robust Proximal Causal Learning for Continuous TreatmentsPoster3 citations
- Dynamic Layer Tying for Parameter-Efficient TransformersPoster3 citations
- Efficient Backpropagation with Variance Controlled Adaptive SamplingPoster3 citations
- Efficient Dynamics Modeling in Interactive Environments with Koopman TheoryPoster3 citations
- Embodied Active Defense: Leveraging Recurrent Feedback to Counter Adversarial PatchesPoster3 citations
- Emergent Communication with Conversational RepairPoster3 citations
- Enhanced Face Recognition using Intra-class Incoherence ConstraintSpotlight3 citations
- Enhancing Group Fairness in Online Settings Using Oblique Decision ForestsSpotlight3 citations
- Enhancing Small Medical Learners with Privacy-preserving Contextual PromptingPoster3 citations
- Enhancing Transfer Learning with Flexible Nonparametric Posterior SamplingPoster3 citations
- Error Feedback Reloaded: From Quadratic to Arithmetic Mean of Smoothness ConstantsPoster3 citations
- Estimating Conditional Mutual Information for Dynamic Feature SelectionPoster3 citations
- Exploring the Common Appearance-Boundary Adaptation for Nighttime Optical FlowSpotlight3 citations
- Exposing Text-Image Inconsistency Using Diffusion ModelsPoster3 citations
- Fixed Non-negative Orthogonal Classifier: Inducing Zero-mean Neural Collapse with Feature Dimension SeparationPoster3 citations
- Forward Learning of Graph Neural NetworksPoster3 citations
- Functional Bayesian Tucker Decomposition for Continuous-indexed Tensor DataPoster3 citations
- General Stability Analysis for Zeroth-Order Optimization AlgorithmsPoster3 citations
- GlucoBench: Curated List of Continuous Glucose Monitoring Datasets with Prediction BenchmarksPoster3 citations
- GraphPulse: Topological representations for temporal graph property predictionPoster3 citations
- Guaranteed Approximation Bounds for Mixed-Precision Neural OperatorsPoster3 citations
- Hybrid Directional Graph Neural Network for MoleculesSpotlight3 citations
- Hybrid Distillation: Connecting Masked Autoencoders with Contrastive LearnersPoster3 citations
- Hybrid Sharing for Multi-Label Image ClassificationPoster3 citations
- Implicit Neural Representations and the Algebra of Complex WaveletsPoster3 citations
- Improving Intrinsic Exploration by Creating Stationary ObjectivesPoster3 citations
- In defense of parameter sharing for model-compressionPoster3 citations
- InfoCon: Concept Discovery with Generative and Discriminative InformativenessPoster3 citations
- Input-gradient space particle inference for neural network ensemblesSpotlight3 citations
- Ins-DetCLIP: Aligning Detection Model to Follow Human-Language InstructionPoster3 citations
- Koopman-based generalization bound: New aspect for full-rank weightsPoster3 citations
- Lagrangian Flow Networks for Conservation LawsSpotlight3 citations
- Language-Interfaced Tabular Oversampling via Progressive Imputation and Self-AuthenticationPoster3 citations
- Latent Representation and Simulation of Markov Processes via Time-Lagged Information BottleneckPoster3 citations
- Learning Adaptive Multiresolution Transforms via Meta-Framelet-based Graph Convolutional NetworkPoster3 citations
- Learning Multi-Faceted Prototypical User InterestsPoster3 citations
- Learning in reverse causal strategic environments with ramifications on two sided marketsPoster3 citations
- Learning to Reject Meets Long-tail LearningSpotlight3 citations
- Less or More From Teacher: Exploiting Trilateral Geometry For Knowledge DistillationPoster3 citations
- Leveraging augmented-Lagrangian techniques for differentiating over infeasible quadratic programs in machine learningSpotlight3 citations
- Local Graph Clustering with Noisy LabelsPoster3 citations
- Mean Field Theory in Deep Metric LearningPoster3 citations
- Mediator Interpretation and Faster Learning Algorithms for Linear Correlated Equilibria in General Sequential GamesPoster3 citations
- MetaPhysiCa: Improving OOD Robustness in Physics-informed Machine LearningSpotlight3 citations
- Modelling complex vector drawings with stroke-cloudsPoster3 citations
- NeurRev: Train Better Sparse Neural Network Practically via Neuron RevitalizationPoster3 citations
- Neural SDF Flow for 3D Reconstruction of Dynamic ScenesPoster3 citations
- Object-Centric Learning with Slot Mixture ModulePoster3 citations
- Offline RL with Observation Histories: Analyzing and Improving Sample ComplexityPoster3 citations
- On Adversarial Training without Perturbing all ExamplesPoster3 citations
- On Bias-Variance Alignment in Deep ModelsSpotlight3 citations
- On the Generalization and Approximation Capacities of Neural Controlled Differential EquationsPoster3 citations
- On the Hardness of Constrained Cooperative Multi-Agent Reinforcement LearningPoster3 citations
- On the Role of General Function Approximation in Offline Reinforcement LearningSpotlight3 citations
- Oracle Efficient Algorithms for Groupwise RegretPoster3 citations
- Pooling Image Datasets with Multiple Covariate Shift and ImbalancePoster3 citations
- Project and Probe: Sample-Efficient Adaptation by Interpolating Orthogonal FeaturesSpotlight3 citations
- Provably Efficient Iterated CVaR Reinforcement Learning with Function Approximation and Human FeedbackPoster3 citations
- RETSim: Resilient and Efficient Text SimilarityPoster3 citations
- REValueD: Regularised Ensemble Value-Decomposition for Factorisable Markov Decision ProcessesPoster3 citations
- Risk Bounds of Accelerated SGD for Overparameterized Linear RegressionPoster3 citations
- Rotation Has Two Sides: Evaluating Data Augmentation for Deep One-class ClassificationSpotlight3 citations
- SWAP: Sparse Entropic Wasserstein Regression for Robust Network PruningPoster3 citations
- Scalable Monotonic Neural NetworksPoster3 citations
- Select to Perfect: Imitating desired behavior from large multi-agent dataPoster3 citations
- Separating common from salient patterns with Contrastive Representation LearningPoster3 citations
- SetCSE: Set Operations using Contrastive Learning of Sentence EmbeddingsPoster3 citations
- Spectrally Transformed Kernel RegressionSpotlight3 citations
- Structural Fairness-aware Active Learning for Graph Neural NetworksPoster3 citations
- Symbol as Points: Panoptic Symbol Spotting via Point-based RepresentationPoster3 citations
- Symmetric Basis Convolutions for Learning Lagrangian Fluid MechanicsPoster3 citations
- Task Planning for Visual Room Rearrangement under Partial ObservabilityPoster3 citations
- The Curse of Diversity in Ensemble-Based ExplorationPoster3 citations
- The Effectiveness of Random Forgetting for Robust GeneralizationPoster3 citations
- The Reasonableness Behind Unreasonable Translation Capability of Large Language ModelPoster3 citations
- The optimality of kernel classifiers in Sobolev spacePoster3 citations
- Time-Efficient Reinforcement Learning with Stochastic Stateful PoliciesPoster3 citations
- Towards Cheaper Inference in Deep Networks with Lower Bit-Width AccumulatorsPoster3 citations
- Towards Cross Domain Generalization of Hamiltonian Representation via Meta LearningPoster3 citations
- Towards Faithful Explanations: Boosting Rationalization with Shortcuts DiscoveryPoster3 citations
- Towards Identifiable Unsupervised Domain Translation: A Diversified Distribution Matching ApproachPoster3 citations
- Towards LLM4QPE: Unsupervised Pretraining of Quantum Property Estimation and A BenchmarkSpotlight3 citations
- UNR-Explainer: Counterfactual Explanations for Unsupervised Node Representation Learning ModelsPoster3 citations
- Understanding Expressivity of GNN in Rule LearningPoster3 citations
- Understanding the Robustness of Randomized Feature Defense Against Query-Based Adversarial AttacksPoster3 citations
- Understanding when Dynamics-Invariant Data Augmentations Benefit Model-free Reinforcement Learning UpdatesPoster3 citations
- VersVideo: Leveraging Enhanced Temporal Diffusion Models for Versatile Video GenerationPoster3 citations
- Weakly-supervised Audio Separation via Bi-modal Semantic SimilarityPoster3 citations
- $\mathcal{B}$-Coder: Value-Based Deep Reinforcement Learning for Program SynthesisSpotlight2 citations
- $t^3$-Variational Autoencoder: Learning Heavy-tailed Data with Student's t and Power DivergencePoster2 citations
- 3D Reconstruction with Generalizable Neural Fields using Scene PriorsPoster2 citations
- A Black-box Approach for Non-stationary Multi-agent Reinforcement LearningPoster2 citations
- A Poincaré Inequality and Consistency Results for Signal Sampling on Large GraphsSpotlight2 citations
- A Quadratic Synchronization Rule for Distributed Deep LearningPoster2 citations
- A Variational Framework for Estimating Continuous Treatment Effects with Measurement ErrorPoster2 citations
- A unique M-pattern for micro-expression spotting in long videosPoster2 citations
- Adversarial Imitation Learning via BoostingPoster2 citations
- Align With Purpose: Optimize Desired Properties in CTC Models with a General Plug-and-Play FrameworkPoster2 citations
- An Investigation of Representation and Allocation Harms in Contrastive LearningPoster2 citations
- Approximately Piecewise E(3) Equivariant Point NetworksPoster2 citations
- ArchLock: Locking DNN Transferability at the Architecture Level with a Zero-Cost Binary PredictorPoster2 citations
- Are Bert Family Good Instruction Followers? A Study on Their Potential And LimitationsPoster2 citations
- Assessing Uncertainty in Similarity Scoring: Performance & Fairness in Face RecognitionPoster2 citations
- Aux-NAS: Exploiting Auxiliary Labels with Negligibly Extra Inference CostPoster2 citations
- BTR: Binary Token Representations for Efficient Retrieval Augmented Language ModelsSpotlight2 citations
- Beating Price of Anarchy and Gradient Descent without Regret in Potential GamesPoster2 citations
- Bounding Box Stability against Feature Dropout Reflects Detector Generalization across EnvironmentsSpotlight2 citations
- CAS: A Probability-Based Approach for Universal Condition Alignment ScoreSpotlight2 citations
- COLEP: Certifiably Robust Learning-Reasoning Conformal Prediction via Probabilistic CircuitsPoster2 citations
- Coeditor: Leveraging Repo-level Diffs for Code Auto-editingSpotlight2 citations
- Convergence of Bayesian Bilevel OptimizationSpotlight2 citations
- Course Correcting Koopman RepresentationsPoster2 citations
- Decodable and Sample Invariant Continuous Object EncoderPoster2 citations
- Decongestion by Representation: Learning to Improve Economic Welfare in MarketplacesPoster2 citations
- Demystifying Linear MDPs and Novel Dynamics Aggregation FrameworkPoster2 citations
- Diffusion Sampling with Momentum for Mitigating Divergence ArtifactsPoster2 citations
- Doubly Robust Instance-Reweighted Adversarial TrainingPoster2 citations
- Dropout Enhanced Bilevel TrainingSpotlight2 citations
- Dynamic Neighborhood Construction for Structured Large Discrete Action SpacesPoster2 citations
- Dynamics-Informed Protein Design with Structure ConditioningPoster2 citations
- Efficient ConvBN Blocks for Transfer Learning and BeyondSpotlight2 citations
- Efficient Score Matching with Deep Equilibrium LayersPoster2 citations
- Encoding Unitig-level Assembly Graphs with Heterophilous Constraints for Metagenomic Contigs BinningPoster2 citations
- Enhancing Human Experience in Human-Agent Collaboration: A Human-Centered Modeling Approach Based on Positive Human GainPoster2 citations
- Equivariant Scalar Fields for Molecular Docking with Fast Fourier TransformsPoster2 citations
- Experimental Design for Multi-Channel Imaging via Task-Driven Feature SelectionPoster2 citations
- Explaining Kernel Clustering via Decision TreesPoster2 citations
- FOSI: Hybrid First and Second Order OptimizationPoster2 citations
- Fast Ensembling with Diffusion Schrödinger BridgePoster2 citations
- Fast Equilibrium of SGD in Generic SituationsPoster2 citations
- Fast Updating Truncated SVD for Representation Learning with Sparse MatricesPoster2 citations
- Feature CollapsePoster2 citations
- Forward $\chi^2$ Divergence Based Variational Importance SamplingSpotlight2 citations
- Future Language Modeling from Temporal Document HistoryPoster2 citations
- Generative Learning for Solving Non-Convex Problem with Multi-Valued Input-Solution MappingPoster2 citations
- Geometrically Aligned Transfer Encoder for Inductive Transfer in Regression TasksPoster2 citations
- Headless Language Models: Learning without Predicting with Contrastive Weight TyingPoster2 citations
- IRAD: Implicit Representation-driven Image Resampling against Adversarial AttacksPoster2 citations
- Identifying Policy Gradient SubspacesPoster2 citations
- Implicit Maximum a Posteriori Filtering via Adaptive OptimizationPoster2 citations
- Implicit Neural Representation Inference for Low-Dimensional Bayesian Deep LearningPoster2 citations
- Inner Classifier-Free Guidance and Its Taylor Expansion for Diffusion ModelsPoster2 citations
- LLCP: Learning Latent Causal Processes for Reasoning-based Video Question AnswerPoster2 citations
- LOQA: Learning with Opponent Q-Learning AwarenessPoster2 citations
- Learning Mean Field Games on Sparse Graphs: A Hybrid Graphex ApproachPoster2 citations
- Learning Nash Equilibria in Rank-1 GamesPoster2 citations
- Learning from Aggregate responses: Instance Level versus Bag Level Loss FunctionsPoster2 citations
ICLR accepted papers in other years
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