ICML 2024 Accepted Papers

The full list of 2,610 papers accepted at ICML 2024 (International Conference on Machine Learning). Click any title for details, similar papers, and links to the original source. You can also search these papers by meaning, not just keywords.

1001. Topological Neural Networks go Persistent, Equivariant, and ContinuousPoster7 citations
1002. Trained Random Forests Completely Reveal your DatasetOral7 citations
1003. Unsupervised Concept Discovery Mitigates Spurious CorrelationsPoster7 citations
1004. Unsupervised Domain Adaptation for Anatomical Structure Detection in Ultrasound ImagesPoster7 citations
1005. Unsupervised Representation Learning of Brain Activity via Bridging Voxel Activity and Functional ConnectivityPoster7 citations
1006. Whispering Experts: Neural Interventions for Toxicity Mitigation in Language ModelsPoster7 citations
1007. Why Do You Grok? A Theoretical Analysis on Grokking Modular AdditionPoster7 citations
1008. A Circuit Domain Generalization Framework for Efficient Logic Synthesis in Chip DesignSpotlight6 citations
1009. A Global Geometric Analysis of Maximal Coding Rate ReductionPoster6 citations
1010. A Space Group Symmetry Informed Network for O(3) Equivariant Crystal Tensor PredictionPoster6 citations
1011. A sampling theory perspective on activations for implicit neural representationsPoster6 citations
1012. ACM-MILP: Adaptive Constraint Modification via Grouping and Selection for Hardness-Preserving MILP Instance GenerationSpotlight6 citations
1013. Adaptive Advantage-Guided Policy Regularization for Offline Reinforcement LearningPoster6 citations
1014. Adaptive Proximal Gradient Methods Are Universal Without ApproximationSpotlight6 citations
1015. Allocation Requires Prediction Only if Inequality Is LowSpotlight6 citations
1016. Analysis for Abductive Learning and Neural-Symbolic Reasoning ShortcutsPoster6 citations
1017. Antibody Design Using a Score-based Diffusion Model Guided by Evolutionary, Physical and Geometric ConstraintsPoster6 citations
1018. Approximate Nearest Neighbor Search with Window FiltersPoster6 citations
1019. Auto-Linear Phenomenon in Subsurface ImagingPoster6 citations
1020. BadPart: Unified Black-box Adversarial Patch Attacks against Pixel-wise Regression TasksPoster6 citations
1021. Balancing Similarity and Complementarity for Federated LearningPoster6 citations
1022. Beyond Regular Grids: Fourier-Based Neural Operators on Arbitrary DomainsPoster6 citations
1023. Boosting Offline Optimizers with Surrogate SensitivityPoster6 citations
1024. Can Implicit Bias Imply Adversarial Robustness?Poster6 citations
1025. Completing Visual Objects via Bridging Generation and SegmentationPoster6 citations
1026. Compositional Image Decomposition with Diffusion ModelsPoster6 citations
1027. Connecting the Dots: Collaborative Fine-tuning for Black-Box Vision-Language ModelsPoster6 citations
1028. Constrained Ensemble Exploration for Unsupervised Skill DiscoveryPoster6 citations
1029. Controlling Behavioral Diversity in Multi-Agent Reinforcement LearningPoster6 citations
1030. Convex and Bilevel Optimization for Neural-Symbolic Inference and LearningPoster6 citations
1031. Deep Equilibrium Models are Almost Equivalent to Not-so-deep Explicit Models for High-dimensional Gaussian MixturesPoster6 citations
1032. DiffAug: Enhance Unsupervised Contrastive Learning with Domain-Knowledge-Free Diffusion-based Data AugmentationPoster6 citations
1033. Differentially Private Post-Processing for Fair RegressionPoster6 citations
1034. Diffusion Models Demand Contrastive Guidance for Adversarial Purification to AdvancePoster6 citations
1035. Distributional Bellman Operators over Mean EmbeddingsPoster6 citations
1036. Dr. Strategy: Model-Based Generalist Agents with Strategic DreamingPoster6 citations
1037. ESM All-Atom: Multi-Scale Protein Language Model for Unified Molecular ModelingPoster6 citations
1038. Early Time Classification with Accumulated Accuracy Gap ControlPoster6 citations
1039. Efficient Algorithms for Sum-Of-Minimum OptimizationPoster6 citations
1040. Efficient Pareto Manifold Learning with Low-Rank StructureSpotlight6 citations
1041. Efficient Stochastic Approximation of Minimax Excess Risk OptimizationPoster6 citations
1042. Empowering Graph Invariance Learning with Deep Spurious InfomaxPoster6 citations
1043. Equilibrium of Data Markets with ExternalityPoster6 citations
1044. Equivariance via Minimal Frame Averaging for More Symmetries and EfficiencySpotlight6 citations
1045. Estimating Canopy Height at ScalePoster6 citations
1046. Evolution-Inspired Loss Functions for Protein Representation LearningPoster6 citations
1047. Exploring Correlations of Self-Supervised Tasks for GraphsPoster6 citations
1048. FRAG: Frequency Adapting Group for Diffusion Video EditingPoster6 citations
1049. FedMBridge: Bridgeable Multimodal Federated LearningOral6 citations
1050. First-Order Manifold Data Augmentation for Regression LearningPoster6 citations
1051. From Fourier to Neural ODEs: Flow Matching for Modeling Complex SystemsPoster6 citations
1052. Fundamental Benefit of Alternating Updates in Minimax OptimizationSpotlight6 citations
1053. GNNs Also Deserve Editing, and They Need It More Than OncePoster6 citations
1054. Generalized Sobolev Transport for Probability Measures on a GraphPoster6 citations
1055. Gradient Compressed Sensing: A Query-Efficient Gradient Estimator for High-Dimensional Zeroth-Order OptimizationPoster6 citations
1056. Graph Structure Extrapolation for Out-of-Distribution GeneralizationPoster6 citations
1057. Graph2Tac: Online Representation Learning of Formal Math ConceptsPoster6 citations
1058. HelmFluid: Learning Helmholtz Dynamics for Interpretable Fluid PredictionPoster6 citations
1059. IOI: Invisible One-Iteration Adversarial Attack on No-Reference Image- and Video-Quality MetricsPoster6 citations
1060. Improved Stability and Generalization Guarantees of the Decentralized SGD AlgorithmPoster6 citations
1061. Improving Gradient-Guided Nested Sampling for Posterior InferencePoster6 citations
1062. Inferring Dynamic Networks from Marginals with Iterative Proportional FittingPoster6 citations
1063. Integrating Multimodal Data for Joint Generative Modeling of Complex DynamicsPoster6 citations
1064. Interaction-based Retrieval-augmented Diffusion Models for Protein-specific 3D Molecule GenerationPoster6 citations
1065. Is Inverse Reinforcement Learning Harder than Standard Reinforcement Learning? A Theoretical PerspectivePoster6 citations
1066. Learning Surrogates for Offline Black-Box Optimization via Gradient MatchingPoster6 citations
1067. Leveraging VLM-Based Pipelines to Annotate 3D ObjectsPoster6 citations
1068. Listenable Maps for Audio ClassifiersOral6 citations
1069. LoRAP: Transformer Sub-Layers Deserve Differentiated Structured Compression for Large Language ModelsPoster6 citations
1070. Local vs. Global Interpretability: A Computational Complexity PerspectiveSpotlight6 citations
1071. Locality-Sensitive Hashing-Based Efficient Point Transformer with Applications in High-Energy PhysicsOral6 citations
1072. Locally Differentially Private Decentralized Stochastic Bilevel Optimization with Guaranteed Convergence AccuracyPoster6 citations
1073. MMPareto: Boosting Multimodal Learning with Innocent Unimodal AssistancePoster6 citations
1074. Mean-field Analysis on Two-layer Neural Networks from a Kernel PerspectivePoster6 citations
1075. Momentum Particle Maximum LikelihoodPoster6 citations
1076. Multi-Factor Adaptive Vision Selection for Egocentric Video Question AnsweringPoster6 citations
1077. Multi-Region Markovian Gaussian Process: An Efficient Method to Discover Directional Communications Across Multiple Brain RegionsPoster6 citations
1078. Neighboring Perturbations of Knowledge Editing on Large Language ModelsPoster6 citations
1079. Neural Diffusion ModelsPoster6 citations
1080. No Wrong Turns: The Simple Geometry Of Neural Networks Optimization PathsPoster6 citations
1081. Non-convex Stochastic Composite Optimization with Polyak MomentumPoster6 citations
1082. Offline Multi-Objective OptimizationPoster6 citations
1083. On The Complexity of First-Order Methods in Stochastic Bilevel OptimizationPoster6 citations
1084. On the Calibration of Human Pose EstimationPoster6 citations
1085. On the Generalization of Equivariant Graph Neural NetworksPoster6 citations
1086. On the Last-Iterate Convergence of Shuffling Gradient MethodsOral6 citations
1087. Online Learning in CMDPs: Handling Stochastic and Adversarial ConstraintsPoster6 citations
1088. Optimal Acceleration for Minimax and Fixed-Point Problems is Not UniqueSpotlight6 citations
1089. Optimal Eye Surgeon: Finding image priors through sparse generators at initializationPoster6 citations
1090. Optimal Transport for Structure Learning Under Missing DataPoster6 citations
1091. PGODE: Towards High-quality System Dynamics ModelingPoster6 citations
1092. PID: Prompt-Independent Data Protection Against Latent Diffusion ModelsPoster6 citations
1093. PRISE: LLM-Style Sequence Compression for Learning Temporal Action Abstractions in ControlOral6 citations
1094. Plug-and-Play image restoration with Stochastic deNOising REgularizationPoster6 citations
1095. Position: A Call for Embodied AIPoster6 citations
1096. Position: Evolving AI Collectives Enhance Human Diversity and Enable Self-RegulationPoster6 citations
1097. Position: Technical Research and Talent is Needed for Effective AI GovernanceOral6 citations
1098. Pre-Training Protein Bi-level Representation Through Span Mask Strategy On 3D Protein ChainsPoster6 citations
1099. Prior Mismatch and Adaptation in PnP-ADMM with a Nonconvex Convergence AnalysisPoster6 citations
1100. Privacy Attacks in Decentralized LearningPoster6 citations
1101. Private Heterogeneous Federated Learning Without a Trusted Server Revisited: Error-Optimal and Communication-Efficient Algorithms for Convex LossesPoster6 citations
1102. Quality Diversity through Human Feedback: Towards Open-Ended Diversity-Driven OptimizationPoster6 citations
1103. Quality-Weighted Vendi Scores And Their Application To Diverse Experimental DesignPoster6 citations
1104. Quantum Implicit Neural RepresentationsPoster6 citations
1105. REST: Efficient and Accelerated EEG Seizure Analysis through Residual State UpdatesPoster6 citations
1106. Random features models: a way to study the success of naive imputationPoster6 citations
1107. Realistic Unsupervised CLIP Fine-tuning with Universal Entropy OptimizationSpotlight6 citations
1108. Reason for Future, Act for Now: A Principled Architecture for Autonomous LLM AgentsPoster6 citations
1109. Rejuvenating image-GPT as Strong Visual Representation LearnersOral6 citations
1110. Relational DNN Verification With Cross Executional Bound RefinementPoster6 citations
1111. Rethinking Generative Large Language Model Evaluation for Semantic ComprehensionPoster6 citations
1112. Rethinking Independent Cross-Entropy Loss For Graph-Structured DataPoster6 citations
1113. Revealing the Dark Secrets of Extremely Large Kernel ConvNets on RobustnessPoster6 citations
1114. Robust Optimization in Protein Fitness Landscapes Using Reinforcement Learning in Latent SpaceSpotlight6 citations
1115. Robustly Learning Single-Index Models via Alignment SharpnessPoster6 citations
1116. SAM as the Guide: Mastering Pseudo-Label Refinement in Semi-Supervised Referring Expression SegmentationOral6 citations
1117. Semantically-correlated memories in a dense associative modelPoster6 citations
1118. Short-Long Convolutions Help Hardware-Efficient Linear Attention to Focus on Long SequencesPoster6 citations
1119. Single-Model Attribution of Generative Models Through Final-Layer InversionPoster6 citations
1120. Slicedit: Zero-Shot Video Editing With Text-to-Image Diffusion Models Using Spatio-Temporal SlicesPoster6 citations
1121. Sparse and Structured Hopfield NetworksSpotlight6 citations
1122. Sparse-IFT: Sparse Iso-FLOP Transformations for Maximizing Training EfficiencyPoster6 citations
1123. State-Free Inference of State-Space Models: The *Transfer Function* ApproachPoster6 citations
1124. Structure-based drug design by denoising voxel gridsPoster6 citations
1125. Switching the Loss Reduces the Cost in Batch Reinforcement LearningPoster6 citations
1126. Symmetry Induces Structure and Constraint of LearningPoster6 citations
1127. TabLog: Test-Time Adaptation for Tabular Data Using Logic RulesPoster6 citations
1128. Target Networks and Over-parameterization Stabilize Off-policy Bootstrapping with Function ApproximationSpotlight6 citations
1129. Task Groupings Regularization: Data-Free Meta-Learning with Heterogeneous Pre-trained ModelsPoster6 citations
1130. Total Variation Distance Meets Probabilistic InferencePoster6 citations
1131. Towards General Algorithm Discovery for Combinatorial Optimization: Learning Symbolic Branching Policy from Bipartite GraphPoster6 citations
1132. Towards Robust Model-Based Reinforcement Learning Against Adversarial CorruptionPoster6 citations
1133. Understanding Diffusion Models by Feynman's Path IntegralPoster6 citations
1134. Understanding Inter-Concept Relationships in Concept-Based ModelsPoster6 citations
1135. Unlock the Cognitive Generalization of Deep Reinforcement Learning via Granular Ball RepresentationPoster6 citations
1136. Verifying message-passing neural networks via topology-based bounds tighteningPoster6 citations
1137. Watermarks in the Sand: Impossibility of Strong Watermarking for Language ModelsPoster6 citations
1138. When Linear Attention Meets Autoregressive Decoding: Towards More Effective and Efficient Linearized Large Language ModelsPoster6 citations
1139. Zero-Shot Reinforcement Learning via Function EncodersPoster6 citations
1140. ${\rm E}(3)$-Equivariant Actor-Critic Methods for Cooperative Multi-Agent Reinforcement LearningPoster5 citations
1141. A Graph is Worth $K$ Words: Euclideanizing Graph using Pure TransformerPoster5 citations
1142. A Nearly Optimal Single Loop Algorithm for Stochastic Bilevel Optimization under Unbounded SmoothnessPoster5 citations
1143. A New Linear Scaling Rule for Private Adaptive Hyperparameter OptimizationPoster5 citations
1144. A New Theoretical Perspective on Data Heterogeneity in Federated OptimizationPoster5 citations
1145. A2Q+: Improving Accumulator-Aware Weight QuantizationPoster5 citations
1146. Accelerating Federated Learning with Quick Distributed Mean EstimationPoster5 citations
1147. Adapting Static Fairness to Sequential Decision-Making: Bias Mitigation Strategies towards Equal Long-term Benefit RatePoster5 citations
1148. Arrows of Time for Large Language ModelsOral5 citations
1149. AttNS: Attention-Inspired Numerical Solving For Limited Data ScenariosPoster5 citations
1150. BiE: Bi-Exponent Block Floating-Point for Large Language Models QuantizationPoster5 citations
1151. Byzantine-Robust Federated Learning: Impact of Client Subsampling and Local UpdatesPoster5 citations
1152. Causality Based Front-door Defense Against Backdoor Attack on Language ModelsPoster5 citations
1153. Classification Under Strategic Self-SelectionPoster5 citations
1154. Clustered Federated Learning via Gradient-based PartitioningPoster5 citations
1155. Collective Certified Robustness against Graph Injection AttacksPoster5 citations
1156. Connect Later: Improving Fine-tuning for Robustness with Targeted AugmentationsPoster5 citations
1157. Contrastive Predict-and-Search for Mixed Integer Linear ProgramsPoster5 citations
1158. Counterfactual Image EditingPoster5 citations
1159. Cross-view Masked Diffusion Transformers for Person Image SynthesisPoster5 citations
1160. DAG-Based Column Generation for Adversarial Team GamesPoster5 citations
1161. DPN: Decoupling Partition and Navigation for Neural Solvers of Min-max Vehicle Routing ProblemsPoster5 citations
1162. Data-Efficient Learning via Clustering-Based Sensitivity Sampling: Foundation Models and BeyondPoster5 citations
1163. DeCoOp: Robust Prompt Tuning with Out-of-Distribution DetectionPoster5 citations
1164. Decouple then Classify: A Dynamic Multi-view Labeling Strategy with Shared and Specific InformationPoster5 citations
1165. Defense against Backdoor Attack on Pre-trained Language Models via Head Pruning and Attention NormalizationPoster5 citations
1166. Delaunay Graph: Addressing Over-Squashing and Over-Smoothing Using Delaunay TriangulationPoster5 citations
1167. Denoising Autoregressive Representation LearningPoster5 citations
1168. Differentiable Distributionally Robust Optimization LayersPoster5 citations
1169. Differentiable Mapper for Topological Optimization of Data RepresentationOral5 citations
1170. Discounted Adaptive Online Learning: Towards Better RegularizationPoster5 citations
1171. Discovering Mixtures of Structural Causal Models from Time Series DataPoster5 citations
1172. Domain Generalisation via Imprecise LearningSpotlight5 citations
1173. Don’t Label Twice: Quantity Beats Quality when Comparing Binary Classifiers on a BudgetPoster5 citations
1174. Efficient Mixture Learning in Black-Box Variational InferencePoster5 citations
1175. Embodied CoT Distillation From LLM To Off-the-shelf AgentsPoster5 citations
1176. Error Feedback Can Accurately Compress PreconditionersPoster5 citations
1177. EvIL: Evolution Strategies for Generalisable Imitation LearningPoster5 citations
1178. EvoluNet: Advancing Dynamic Non-IID Transfer Learning on GraphsPoster5 citations
1179. Expand-and-Cluster: Parameter Recovery of Neural NetworksPoster5 citations
1180. Exploring the Low-Pass Filtering Behavior in Image Super-ResolutionPoster5 citations
1181. Expressivity and Generalization: Fragment-Biases for Molecular GNNsOral5 citations
1182. Fast-Slow Test-Time Adaptation for Online Vision-and-Language NavigationPoster5 citations
1183. Faster Maximum Inner Product Search in High DimensionsPoster5 citations
1184. FedCal: Achieving Local and Global Calibration in Federated Learning via Aggregated Parameterized ScalerPoster5 citations
1185. Federated Combinatorial Multi-Agent Multi-Armed BanditsPoster5 citations
1186. Few-Shot Unsupervised Implicit Neural Shape Representation Learning with Spatial AdversariesPoster5 citations
1187. Finite Volume Features, Global Geometry Representations, and Residual Training for Deep Learning-based CFD SimulationSpotlight5 citations
1188. Flexible Residual Binarization for Image Super-ResolutionPoster5 citations
1189. From Generalization Analysis to Optimization Designs for State Space ModelsPoster5 citations
1190. Generating Chain-of-Thoughts with a Pairwise-Comparison Approach to Searching for the Most Promising Intermediate ThoughtPoster5 citations
1191. Generative Modeling on Manifolds Through Mixture of Riemannian Diffusion ProcessesPoster5 citations
1192. GeoAB: Towards Realistic Antibody Design and Reliable Affinity MaturationPoster5 citations
1193. GeoMFormer: A General Architecture for Geometric Molecular Representation LearningPoster5 citations
1194. GistScore: Learning Better Representations for In-Context Example Selection with Gist BottlenecksPoster5 citations
1195. Graph As Point SetPoster5 citations
1196. Graph Neural PDE Solvers with Conservation and Similarity-EquivariancePoster5 citations
1197. Hierarchical Neural Operator Transformer with Learnable Frequency-aware Loss Prior for Arbitrary-scale Super-resolutionPoster5 citations
1198. Hieros: Hierarchical Imagination on Structured State Space Sequence World ModelsPoster5 citations
1199. How Free is Parameter-Free Stochastic Optimization?Spotlight5 citations
1200. How Uniform Random Weights Induce Non-uniform Bias: Typical Interpolating Neural Networks Generalize with Narrow TeachersSpotlight5 citations
1201. Impact of Decentralized Learning on Player Utilities in Stackelberg GamesPoster5 citations
1202. Improving Adversarial Energy-Based Model via Diffusion ProcessPoster5 citations
1203. Improving Equivariant Graph Neural Networks on Large Geometric Graphs via Virtual Nodes LearningPoster5 citations
1204. Improving Neural Additive Models with Bayesian PrinciplesPoster5 citations
1205. Improving Transformers with Dynamically Composable Multi-Head AttentionOral5 citations
1206. In-context Learning on Function Classes Unveiled for TransformersPoster5 citations
1207. InfoNet: Neural Estimation of Mutual Information without Test-Time OptimizationOral5 citations
1208. InstructSpeech: Following Speech Editing Instructions via Large Language ModelsPoster5 citations
1209. Jacobian Regularizer-based Neural Granger CausalityPoster5 citations
1210. Latent Logic Tree Extraction for Event Sequence Explanation from LLMsPoster5 citations
1211. Layer-Aware Analysis of Catastrophic Overfitting: Revealing the Pseudo-Robust Shortcut DependencyPoster5 citations
1212. Layerwise Change of Knowledge in Neural NetworksPoster5 citations
1213. Learning High-Order Relationships of Brain RegionsPoster5 citations
1214. Learning Linear Block Error Correction CodesPoster5 citations
1215. Learning from Integral Losses in Physics Informed Neural NetworksPoster5 citations
1216. Learning to Reach Goals via DiffusionPoster5 citations
1217. Let Go of Your Labels with Unsupervised TransferPoster5 citations
1218. Mapping the Multiverse of Latent RepresentationsPoster5 citations
1219. Minimizing $f$-Divergences by Interpolating Velocity FieldsPoster5 citations
1220. Model Assessment and Selection under Temporal Distribution ShiftPoster5 citations
1221. Model-Free Robust $\phi$-Divergence Reinforcement Learning Using Both Offline and Online DataPoster5 citations
1222. Model-based Reinforcement Learning for Parameterized Action SpacesPoster5 citations
1223. Monotone, Bi-Lipschitz, and Polyak-Łojasiewicz NetworksPoster5 citations
1224. Multi-Fidelity Residual Neural Processes for Scalable Surrogate ModelingPoster5 citations
1225. Multi-Patch Prediction: Adapting Language Models for Time Series Representation LearningPoster5 citations
1226. NDOT: Neuronal Dynamics-based Online Training for Spiking Neural NetworksPoster5 citations
1227. Neural Jump-Diffusion Temporal Point ProcessesSpotlight5 citations
1228. Neural-Kernel Conditional Mean EmbeddingsPoster5 citations
1229. Neurodegenerative Brain Network Classification via Adaptive Diffusion with Temporal RegularizationPoster5 citations
1230. No Free Prune: Information-Theoretic Barriers to Pruning at InitializationPoster5 citations
1231. Nonlinear Filtering with Brenier Optimal Transport MapsPoster5 citations
1232. Nonparametric Teaching of Implicit Neural RepresentationsPoster5 citations
1233. On the Emergence of Cross-Task Linearity in Pretraining-Finetuning ParadigmPoster5 citations
1234. On the Universality of Volume-Preserving and Coupling-Based Normalizing FlowsPoster5 citations
1235. On the sample complexity of conditional independence testing with Von Mises estimator with application to causal discoveryPoster5 citations
1236. One Size Fits All for Semantic Shifts: Adaptive Prompt Tuning for Continual LearningPoster5 citations
1237. Online Algorithms with Uncertainty-Quantified PredictionsPoster5 citations
1238. Online Learning and Information Exponents: The Importance of Batch size & Time/Complexity TradeoffsPoster5 citations
1239. Online Linear Regression in Dynamic Environments via DiscountingPoster5 citations
1240. Open-Vocabulary Calibration for Fine-tuned CLIPPoster5 citations
1241. Optimizing Watermarks for Large Language ModelsPoster5 citations
1242. Out-of-Distribution Detection via Deep Multi-Comprehension EnsemblePoster5 citations
1243. Outlier-aware Slicing for Post-Training Quantization in Vision TransformerPoster5 citations
1244. OxyGenerator: Reconstructing Global Ocean Deoxygenation Over a Century with Deep LearningPoster5 citations
1245. PANDA: Expanded Width-Aware Message Passing Beyond RewiringPoster5 citations
1246. PARCv2: Physics-aware Recurrent Convolutional Neural Networks for Spatiotemporal Dynamics ModelingPoster5 citations
1247. PEARL: Zero-shot Cross-task Preference Alignment and Robust Reward Learning for Robotic ManipulationPoster5 citations
1248. PIPER: Primitive-Informed Preference-based Hierarchical Reinforcement Learning via Hindsight RelabelingPoster5 citations
1249. Policy Learning for Balancing Short-Term and Long-Term RewardsPoster5 citations
1250. Position: A Safe Harbor for AI Evaluation and Red TeamingOral5 citations
1251. Position: Compositional Generative Modeling: A Single Model is Not All You NeedPoster5 citations
1252. Position: Optimization in SciML Should Employ the Function Space GeometryPoster5 citations
1253. Position: Social Environment Design Should be Further Developed for AI-based Policy-MakingPoster5 citations
1254. Position: Stop Making Unscientific AGI Performance ClaimsPoster5 citations
1255. Post-hoc Part-Prototype NetworksPoster5 citations
1256. Posterior Sampling-Based Bayesian Optimization with Tighter Bayesian Regret BoundsPoster5 citations
1257. Private Gradient Descent for Linear Regression: Tighter Error Bounds and Instance-Specific Uncertainty EstimationPoster5 citations
1258. Provable Contrastive Continual LearningPoster5 citations
1259. Provable Risk-Sensitive Distributional Reinforcement Learning with General Function ApproximationPoster5 citations
1260. Pruned Pivot: Correlation Clustering Algorithm for Dynamic, Parallel, and Local Computation ModelsOral5 citations
1261. RAUCA: A Novel Physical Adversarial Attack on Vehicle Detectors via Robust and Accurate Camouflage GenerationPoster5 citations
1262. ReLU to the Rescue: Improve Your On-Policy Actor-Critic with Positive AdvantagesPoster5 citations
1263. ReLUs Are Sufficient for Learning Implicit Neural RepresentationsPoster5 citations
1264. Recovering Labels from Local Updates in Federated LearningPoster5 citations
1265. Referee Can Play: An Alternative Approach to Conditional Generation via Model InversionPoster5 citations
1266. Regularizing with Pseudo-Negatives for Continual Self-Supervised LearningPoster5 citations
1267. Relaxed Quantile Regression: Prediction Intervals for Asymmetric NoisePoster5 citations
1268. Remembering to Be Fair: Non-Markovian Fairness in Sequential Decision MakingPoster5 citations
1269. Reshape and Adapt for Output Quantization (RAOQ): Quantization-aware Training for In-memory Computing SystemsPoster5 citations
1270. Rethinking Adversarial Robustness in the Context of the Right to be ForgottenPoster5 citations
1271. Retrieval-Augmented Score Distillation for Text-to-3D GenerationPoster5 citations
1272. Reward Shaping for Reinforcement Learning with An Assistant Reward AgentPoster5 citations
1273. Robust Graph Matching when Nodes are CorruptPoster5 citations
1274. Robust Inverse Constrained Reinforcement Learning under Model MisspecificationPoster5 citations
1275. Robust Learning-Augmented DictionariesPoster5 citations
1276. S3O: A Dual-Phase Approach for Reconstructing Dynamic Shape and Skeleton of Articulated Objects from Single Monocular VideoPoster5 citations
1277. Seesaw: Compensating for Nonlinear Reduction with Linear Computations for Private InferencePoster5 citations
1278. Self-Consistency Training for Density-Functional-Theory Hamiltonian PredictionPoster5 citations
1279. Self-Driven Entropy Aggregation for Byzantine-Robust Heterogeneous Federated LearningPoster5 citations
1280. Sequential Asynchronous Action Coordination in Multi-Agent Systems: A Stackelberg Decision Transformer ApproachPoster5 citations
1281. Smoothing Proximal Gradient Methods for Nonsmooth Sparsity Constrained Optimization: Optimality Conditions and Global ConvergencePoster5 citations
1282. Sparse is Enough in Fine-tuning Pre-trained Large Language ModelsSpotlight5 citations
1283. Structure-Aware E(3)-Invariant Molecular Conformer Aggregation NetworksPoster5 citations
1284. Tandem Transformers for Inference Efficient LLMsPoster5 citations
1285. The Expressive Power of Path-Based Graph Neural NetworksPoster5 citations
1286. Towards General Neural Surrogate Solvers with Specialized Neural AcceleratorsPoster5 citations
1287. Tripod: Three Complementary Inductive Biases for Disentangled Representation LearningPoster5 citations
1288. Trust the Model Where It Trusts Itself - Model-Based Actor-Critic with Uncertainty-Aware Rollout AdaptionPoster5 citations
1289. Two-sided Competing Matching Recommendation Markets With Quota and Complementary Preferences ConstraintsPoster5 citations
1290. Understanding Unimodal Bias in Multimodal Deep Linear NetworksPoster5 citations
1291. Unraveling the Impact of Heterophilic Structures on Graph Positive-Unlabeled LearningPoster5 citations
1292. Using Left and Right Brains Together: Towards Vision and Language PlanningPoster5 citations
1293. Value-Evolutionary-Based Reinforcement LearningPoster5 citations
1294. VinT-6D: A Large-Scale Object-in-hand Dataset from Vision, Touch and ProprioceptionPoster5 citations
1295. Vision Transformers as Probabilistic Expansion from LearngenePoster5 citations
1296. Vocabulary for Universal Approximation: A Linguistic Perspective of Mapping CompositionsSpotlight5 citations
1297. Wasserstein Wormhole: Scalable Optimal Transport Distance with TransformerPoster5 citations
1298. Weisfeiler Leman for Euclidean Equivariant Machine LearningPoster5 citations
1299. What is the Long-Run Distribution of Stochastic Gradient Descent? A Large Deviations AnalysisPoster5 citations
1300. When Representations Align: Universality in Representation Learning DynamicsPoster5 citations
1301. When and How Does In-Distribution Label Help Out-of-Distribution Detection?Poster5 citations
1302. A Distributional Analogue to the Successor RepresentationSpotlight4 citations
1303. A Field Guide for Pacing Budget and ROS ConstraintsPoster4 citations
1304. A General Framework for Learning from Weak SupervisionPoster4 citations
1305. A New Computationally Efficient Algorithm to solve Feature Selection for Functional Data Classification in High-dimensional SpacesPoster4 citations
1306. A Study of First-Order Methods with a Deterministic Relative-Error Gradient OraclePoster4 citations
1307. A Theoretical Analysis of Backdoor Poisoning Attacks in Convolutional Neural NetworksSpotlight4 citations
1308. A Unified Adaptive Testing System Enabled by Hierarchical Structure SearchPoster4 citations
1309. Active Adaptive Experimental Design for Treatment Effect Estimation with Covariate ChoiceOral4 citations
1310. Adaptive Conformal Inference by BettingPoster4 citations
1311. Adaptive Feature Selection for No-Reference Image Quality Assessment by Mitigating Semantic Noise SensitivityPoster4 citations
1312. Aligning Transformers with Weisfeiler-LemanPoster4 citations
1313. Ameliorate Spurious Correlations in Dataset CondensationPoster4 citations
1314. Amend to Alignment: Decoupled Prompt Tuning for Mitigating Spurious Correlation in Vision-Language ModelsPoster4 citations
1315. An Interpretable Evaluation of Entropy-based Novelty of Generative ModelsPoster4 citations
1316. Auditing Private PredictionPoster4 citations
1317. Autaptic Synaptic Circuit Enhances Spatio-temporal Predictive Learning of Spiking Neural NetworksPoster4 citations
1318. BWS: Best Window Selection Based on Sample Scores for Data Pruning across Broad RangesPoster4 citations
1319. Bagged Deep Image Prior for Recovering Images in the Presence of Speckle NoisePoster4 citations
1320. Balanced Data, Imbalanced Spectra: Unveiling Class Disparities with Spectral ImbalancePoster4 citations
1321. Bayesian Adaptation of Network Depth and Width for Continual LearningPoster4 citations
1322. Bayesian Uncertainty for Gradient Aggregation in Multi-Task LearningPoster4 citations
1323. Beyond the ROC Curve: Classification Trees Using Cost-Optimal Curves, with Application to Imbalanced DatasetsPoster4 citations
1324. Bivariate Causal Discovery using Bayesian Model SelectionPoster4 citations
1325. Block Acceleration Without Momentum: On Optimal Stepsizes of Block Gradient Descent for Least-SquaresSpotlight4 citations
1326. Byzantine Resilient and Fast Federated Few-Shot LearningPoster4 citations
1327. CCM: Real-Time Controllable Visual Content Creation Using Text-to-Image Consistency ModelsPoster4 citations
1328. CHAI: Clustered Head Attention for Efficient LLM InferencePoster4 citations
1329. CKGConv: General Graph Convolution with Continuous KernelsPoster4 citations
1330. COALA: A Practical and Vision-Centric Federated Learning PlatformPoster4 citations
1331. Causal-IQA: Towards the Generalization of Image Quality Assessment Based on Causal InferencePoster4 citations
1332. Challenges and Considerations in the Evaluation of Bayesian Causal DiscoveryPoster4 citations
1333. Characteristic Guidance: Non-linear Correction for Diffusion Model at Large Guidance ScalePoster4 citations
1334. Collaborative Heterogeneous Causal Inference Beyond Meta-analysisPoster4 citations
1335. Collage: Light-Weight Low-Precision Strategy for LLM TrainingPoster4 citations
1336. Combinatorial Multivariant Multi-Armed Bandits with Applications to Episodic Reinforcement Learning and BeyondPoster4 citations
1337. Complexity Matters: Feature Learning in the Presence of Spurious CorrelationsPoster4 citations
1338. Compression of Structured Data with Autoencoders: Provable Benefit of Nonlinearities and DepthPoster4 citations
1339. Conditional Language Learning with ContextPoster4 citations
1340. Confidence Aware Inverse Constrained Reinforcement LearningPoster4 citations
1341. ContPhy: Continuum Physical Concept Learning and Reasoning from VideosPoster4 citations
1342. Contextualized Policy Recovery: Modeling and Interpreting Medical Decisions with Adaptive Imitation LearningPoster4 citations
1343. Contrasting Multiple Representations with the Multi-Marginal Matching GapOral4 citations
1344. Creative Text-to-Audio Generation via Synthesizer ProgrammingPoster4 citations
1345. DUPLEX: Dual GAT for Complex Embedding of Directed GraphsPoster4 citations
1346. Data Poisoning Attacks against Conformal PredictionPoster4 citations
1347. Data-Efficient Molecular Generation with Hierarchical Textual InversionPoster4 citations
1348. Dealing With Unbounded Gradients in Stochastic Saddle-point OptimizationPoster4 citations
1349. Deciphering RNA Secondary Structure Prediction: A Probabilistic K-Rook Matching PerspectivePoster4 citations
1350. Deep Fusion: Efficient Network Training via Pre-trained InitializationsPoster4 citations
1351. Defense against Model Extraction Attack by Bayesian Active WatermarkingPoster4 citations
1352. Detecting and Identifying Selection Structure in Sequential DataPoster4 citations
1353. Differentially Private Decentralized Learning with Random WalksPoster4 citations
1354. Differentially Private Worst-group Risk MinimizationPoster4 citations
1355. Diffusion Tempering Improves Parameter Estimation with Probabilistic Integrators for Ordinary Differential EquationsPoster4 citations
1356. Diversified Batch Selection for Training AccelerationPoster4 citations
1357. Do Large Code Models Understand Programming Concepts? Counterfactual Analysis for Code PredicatesPoster4 citations
1358. Does Label Smoothing Help Deep Partial Label Learning?Oral4 citations
1359. DynSyn: Dynamical Synergistic Representation for Efficient Learning and Control in Overactuated Embodied SystemsPoster4 citations
1360. ELF: Encoding Speaker-Specific Latent Speech Feature for Speech SynthesisPoster4 citations
1361. ELTA: An Enhancer against Long-Tail for Aesthetics-oriented ModelsPoster4 citations
1362. Efficient Policy Evaluation with Offline Data Informed Behavior Policy DesignPoster4 citations
1363. EiG-Search: Generating Edge-Induced Subgraphs for GNN Explanation in Linear TimePoster4 citations
1364. Eluder-based Regret for Stochastic Contextual MDPsPoster4 citations
1365. Energy-based Backdoor Defense without Task-Specific Samples and Model RetrainingPoster4 citations
1366. Enhancing Cross-Modal Fine-Tuning with Gradually Intermediate Modality GenerationPoster4 citations
1367. Enhancing Size Generalization in Graph Neural Networks through Disentangled Representation LearningPoster4 citations
1368. Enhancing Storage and Computational Efficiency in Federated Multimodal Learning for Large-Scale ModelsPoster4 citations
1369. Environment Design for Inverse Reinforcement LearningOral4 citations
1370. Estimating Barycenters of Distributions with Neural Optimal TransportPoster4 citations
1371. Fair Risk Control: A Generalized Framework for Calibrating Multi-group Fairness RisksPoster4 citations
1372. Fast and Sample Efficient Multi-Task Representation Learning in Stochastic Contextual BanditsPoster4 citations
1373. Feature Attribution with Necessity and Sufficiency via Dual-stage Perturbation Test for Causal ExplanationPoster4 citations
1374. FedSC: Provable Federated Self-supervised Learning with Spectral Contrastive Objective over Non-i.i.d. DataPoster4 citations
1375. Federated Neuro-Symbolic LearningPoster4 citations
1376. Federated Representation Learning in the Under-Parameterized RegimePoster4 citations
1377. Finite-Time Convergence and Sample Complexity of Actor-Critic Multi-Objective Reinforcement LearningPoster4 citations
1378. Floating Anchor Diffusion Model for Multi-motif ScaffoldingPoster4 citations
1379. Gaussian Plane-Wave Neural Operator for Electron Density EstimationPoster4 citations
1380. Generalization Analysis of Stochastic Weight Averaging with General SamplingPoster4 citations
1381. Generalization Bound and New Algorithm for Clean-Label Backdoor AttackPoster4 citations
1382. Generalization Bounds for Heavy-Tailed SDEs through the Fractional Fokker-Planck EquationPoster4 citations
1383. Generalization Error of Graph Neural Networks in the Mean-field RegimePoster4 citations
1384. Generalizing Knowledge Graph Embedding with Universal Orthogonal ParameterizationPoster4 citations
1385. Generating In-Distribution Proxy Graphs for Explaining Graph Neural NetworksPoster4 citations
1386. Graph Adversarial Diffusion ConvolutionPoster4 citations
1387. Graph External Attention Enhanced TransformerPoster4 citations
1388. Graph-Triggered Rising BanditsPoster4 citations
1389. Graphon Mean Field Games with a Representative Player: Analysis and Learning AlgorithmPoster4 citations
1390. Hard Tasks First: Multi-Task Reinforcement Learning Through Task SchedulingPoster4 citations
1391. Harnessing Neural Unit Dynamics for Effective and Scalable Class-Incremental LearningPoster4 citations
1392. Hidden Traveling Waves bind Working Memory Variables in Recurrent Neural NetworksPoster4 citations
1393. How Flawed Is ECE? An Analysis via Logit SmoothingPoster4 citations
1394. Hybrid Neural Representations for Spherical DataPoster4 citations
1395. Hybrid$^2$ Neural ODE Causal Modeling and an Application to Glycemic ResponseOral4 citations
1396. ILILT: Implicit Learning of Inverse Lithography TechnologiesPoster4 citations
1397. Imitation Learning in Discounted Linear MDPs without exploration assumptionsPoster4 citations
1398. Implicit Compressibility of Overparametrized Neural Networks Trained with Heavy-Tailed SGDPoster4 citations
1399. Improving Accuracy-robustness Trade-off via Pixel Reweighted Adversarial TrainingPoster4 citations
1400. Improving Interpretation Faithfulness for Vision TransformersSpotlight4 citations
1401. Inferring Change Points in High-Dimensional Linear Regression via Approximate Message PassingPoster4 citations
1402. Infinite-Horizon Distributionally Robust Regret-Optimal ControlPoster4 citations
1403. Intersectional Unfairness DiscoveryPoster4 citations
1404. Iterative Regularized Policy Optimization with Imperfect DemonstrationsPoster4 citations
1405. KernelWarehouse: Rethinking the Design of Dynamic ConvolutionPoster4 citations
1406. Latent Noise Segmentation: How Neural Noise Leads to the Emergence of Segmentation and GroupingPoster4 citations
1407. Learning Constraints from Offline Demonstrations via Superior Distribution Correction EstimationPoster4 citations
1408. Learning Exceptional Subgroups by End-to-End Maximizing KL-DivergenceSpotlight4 citations
1409. Learning Latent Dynamic Robust Representations for World ModelsPoster4 citations
1410. Learning Shadow Variable Representation for Treatment Effect Estimation under Collider BiasPoster4 citations
1411. Learning to Continually Learn with the Bayesian PrinciplePoster4 citations
1412. Learning-Efficient Yet Generalizable Collaborative Filtering for Item RecommendationPoster4 citations
1413. Lessons from Generalization Error Analysis of Federated Learning: You May Communicate Less Often!Poster4 citations
1414. Local Causal Structure Learning in the Presence of Latent VariablesPoster4 citations
1415. Loss Shaping Constraints for Long-Term Time Series ForecastingPoster4 citations
1416. MS-TIP: Imputation Aware Pedestrian Trajectory PredictionPoster4 citations
1417. Making Old Things New: A Unified Algorithm for Differentially Private ClusteringOral4 citations
1418. Manifold Integrated Gradients: Riemannian Geometry for Feature AttributionPoster4 citations
1419. Masked Face Recognition with Generative-to-Discriminative RepresentationsSpotlight4 citations
1420. Mean Estimation in the Add-Remove Model of Differential PrivacyPoster4 citations
1421. Memoria: Resolving Fateful Forgetting Problem through Human-Inspired Memory ArchitectureSpotlight4 citations
1422. Modular Learning of Deep Causal Generative Models for High-dimensional Causal InferencePoster4 citations
1423. More Flexible PAC-Bayesian Meta-Learning by Learning Learning AlgorithmsPoster4 citations
1424. Near-Optimal Regret in Linear MDPs with Aggregate Bandit FeedbackPoster4 citations
1425. Neural Image Compression with Text-guided Encoding for both Pixel-level and Perceptual FidelityPoster4 citations
1426. Noise-Adaptive Confidence Sets for Linear Bandits and Application to Bayesian OptimizationPoster4 citations
1427. OT-CLIP: Understanding and Generalizing CLIP via Optimal TransportPoster4 citations
1428. Off-policy Evaluation Beyond Overlap: Sharp Partial Identification Under SmoothnessPoster4 citations
1429. On Positivity Condition for Causal InferencePoster4 citations
1430. On dimensionality of feature vectors in MPNNsPoster4 citations
1431. On the Asymptotic Distribution of the Minimum Empirical RiskPoster4 citations
1432. On the Hardness of Probabilistic Neurosymbolic LearningPoster4 citations
1433. On the Identifiability of Switching Dynamical SystemsPoster4 citations
1434. Overcoming Saturation in Density Ratio Estimation by Iterated RegularizationPoster4 citations
1435. PAC-Bayesian Generalization Bounds for Knowledge Graph Representation LearningPoster4 citations
1436. PDHG-Unrolled Learning-to-Optimize Method for Large-Scale Linear ProgrammingPoster4 citations
1437. Parsimonious Learning-Augmented Approximations for Dense Instances of $\mathcal{NP}$-hard ProblemsPoster4 citations
1438. Path-Guided Particle-based SamplingPoster4 citations
1439. Peeking with PEAK: Sequential, Nonparametric Composite Hypothesis Tests for Means of Multiple Data StreamsPoster4 citations
1440. Performative Prediction with Bandit Feedback: Learning through ReparameterizationPoster4 citations
1441. Physics and Lie symmetry informed Gaussian processesPoster4 citations
1442. Position: An Inner Interpretability Framework for AI Inspired by Lessons from Cognitive NeurosciencePoster4 citations
1443. Position: Application-Driven Innovation in Machine LearningPoster4 citations
1444. Position: Foundation Agents as the Paradigm Shift for Decision MakingPoster4 citations
1445. Position: Insights from Survey Methodology can Improve Training DataPoster4 citations
1446. Position: On the Possibilities of AI-Generated Text DetectionPoster4 citations
1447. Position: On the Societal Impact of Open Foundation ModelsOral4 citations
1448. Position: Scarce Resource Allocations That Rely On Machine Learning Should Be RandomizedPoster4 citations
1449. Position: Towards Implicit Prompt For Text-To-Image ModelsPoster4 citations
1450. Position: Towards Unified Alignment Between Agents, Humans, and EnvironmentPoster4 citations
1451. Predicting Lagrangian Multipliers for Mixed Integer Linear ProgramsPoster4 citations
1452. Prediction-powered Generalization of Causal InferencesPoster4 citations
1453. Premier-TACO is a Few-Shot Policy Learner: Pretraining Multitask Representation via Temporal Action-Driven Contrastive LossPoster4 citations
1454. Pricing with Contextual Elasticity and Heteroscedastic ValuationSpotlight4 citations
1455. Probabilistic Generating Circuits - DemystifiedOral4 citations
1456. Probabilistic Time Series Modeling with Decomposable Denoising Diffusion ModelPoster4 citations
1457. Projection-Free Online Convex Optimization with Time-Varying ConstraintsPoster4 citations
1458. Prompt Sketching for Large Language ModelsPoster4 citations
1459. Prospective Side Information for Latent MDPsSpotlight4 citations
1460. Quality-Diversity Actor-Critic: Learning High-Performing and Diverse Behaviors via Value and Successor Features CriticsPoster4 citations
1461. Quantum Algorithms and Lower Bounds for Finite-Sum OptimizationPoster4 citations
1462. Quantum Positional Encodings for Graph Neural NetworksPoster4 citations
1463. RICE: Breaking Through the Training Bottlenecks of Reinforcement Learning with ExplanationSpotlight4 citations
1464. Random Scaling and Momentum for Non-smooth Non-convex OptimizationPoster4 citations
1465. ReDiffuser: Reliable Decision-Making Using a Diffuser with Confidence EstimationPoster4 citations
1466. Recurrent Early Exits for Federated Learning with Heterogeneous ClientsPoster4 citations
1467. Rethinking Specificity in SBDD: Leveraging Delta Score and Energy-Guided DiffusionPoster4 citations
1468. Riemannian coordinate descent algorithms on matrix manifoldsPoster4 citations
1469. Risk-Sensitive Reward-Free Reinforcement Learning with CVaRPoster4 citations
1470. Robust Data-driven Prescriptiveness OptimizationPoster4 citations
1471. Robust Stable Spiking Neural NetworksPoster4 citations
1472. Robust Universal Adversarial PerturbationsPoster4 citations
1473. Robustness of Nonlinear Representation LearningOral4 citations
1474. SMaRt: Improving GANs with Score Matching RegularityPoster4 citations
1475. SPABA: A Single-Loop and Probabilistic Stochastic Bilevel Algorithm Achieving Optimal Sample ComplexityPoster4 citations
1476. STELLA: Continual Audio-Video Pre-training with SpatioTemporal Localized AlignmentPoster4 citations
1477. Saliency strikes back: How filtering out high frequencies improves white-box explanationsPoster4 citations
1478. Scaling Laws for the Value of Individual Data Points in Machine LearningPoster4 citations
1479. Score-Based Causal Discovery of Latent Variable Causal ModelsPoster4 citations
1480. Self-Composing Policies for Scalable Continual Reinforcement LearningOral4 citations
1481. Semantic-Aware Human Object Interaction Image GenerationPoster4 citations
1482. Simple Ingredients for Offline Reinforcement LearningPoster4 citations
1483. Simultaneous identification of models and parameters of scientific simulatorsPoster4 citations
1484. Sliding Down the Stairs: How Correlated Latent Variables Accelerate Learning with Neural NetworksPoster4 citations
1485. Soft Prompt Recovers Compressed LLMs, TransferablyPoster4 citations
1486. Solving Hierarchical Information-Sharing Dec-POMDPs: An Extensive-Form Game ApproachPoster4 citations
1487. Sparse Model Inversion: Efficient Inversion of Vision Transformers for Data-Free ApplicationsPoster4 citations
1488. Stability and Multigroup Fairness in Ranking with Uncertain PredictionsPoster4 citations
1489. Stochastic Conditional Diffusion Models for Robust Semantic Image SynthesisPoster4 citations
1490. Stochastic Quantum Sampling for Non-Logconcave Distributions and Estimating Partition FunctionsPoster4 citations
1491. Stochastic positional embeddings improve masked image modelingPoster4 citations
1492. Structured Inverse-Free Natural Gradient Descent: Memory-Efficient & Numerically-Stable KFACPoster4 citations
1493. Sub-token ViT Embedding via Stochastic Resonance TransformersPoster4 citations
1494. Subgoal-based Demonstration Learning for Formal Theorem ProvingPoster4 citations
1495. Surface-VQMAE: Vector-quantized Masked Auto-encoders on Molecular SurfacesPoster4 citations
1496. SyCoCa: Symmetrizing Contrastive Captioners with Attentive Masking for Multimodal AlignmentPoster4 citations
1497. Symmetric Replay Training: Enhancing Sample Efficiency in Deep Reinforcement Learning for Combinatorial OptimizationPoster4 citations
1498. The Perception-Robustness Tradeoff in Deterministic Image RestorationSpotlight4 citations
1499. The Pitfalls and Promise of Conformal Inference Under Adversarial AttacksPoster4 citations
1500. The Surprising Effectiveness of Skip-Tuning in Diffusion SamplingPoster4 citations
1501. Theory of Consistency Diffusion Models: Distribution Estimation Meets Fast SamplingPoster4 citations
1502. Think Before You Act: Decision Transformers with Working MemoryPoster4 citations
1503. Time-Series Forecasting for Out-of-Distribution Generalization Using Invariant LearningPoster4 citations
1504. Towards Causal Foundation Model: on Duality between Optimal Balancing and AttentionPoster4 citations
1505. Towards an Understanding of Stepwise Inference in Transformers: A Synthetic Graph Navigation ModelPoster4 citations
1506. Towards the Theory of Unsupervised Federated Learning: Non-asymptotic Analysis of Federated EM AlgorithmsPoster4 citations
1507. Translation Equivariant Transformer Neural ProcessesPoster4 citations
1508. Two Fists, One Heart: Multi-Objective Optimization Based Strategy Fusion for Long-tailed LearningPoster4 citations
1509. UPAM: Unified Prompt Attack in Text-to-Image Generation Models Against Both Textual Filters and Visual CheckersPoster4 citations
1510. Vector Quantization Pretraining for EEG Time Series with Random Projection and Phase AlignmentPoster4 citations
1511. What is Dataset Distillation Learning?Poster4 citations
1512. What’s the score? Automated Denoising Score Matching for Nonlinear DiffusionsPoster4 citations
1513. Why do Variational Autoencoders Really Promote Disentanglement?Poster4 citations
1514. X-Oscar: A Progressive Framework for High-quality Text-guided 3D Animatable Avatar GenerationPoster4 citations
1515. tnGPS: Discovering Unknown Tensor Network Structure Search Algorithms via Large Language Models (LLMs)Poster4 citations
1516. xT: Nested Tokenization for Larger Context in Large ImagesPoster4 citations
1517. $\mathtt{VITS}$ : Variational Inference Thompson Sampling for contextual banditsPoster3 citations
1518. A General Framework for Sequential Decision-Making under Adaptivity ConstraintsPoster3 citations
1519. A Linear Time and Space Local Point Cloud Geometry Encoder via Vectorized Kernel Mixture (VecKM)Poster3 citations
1520. A Near-Linear Time Approximation Algorithm for Beyond-Worst-Case Graph ClusteringPoster3 citations
1521. A New Branch-and-Bound Pruning Framework for $\ell_0$-Regularized ProblemsPoster3 citations
1522. A Provable Decision Rule for Out-of-Distribution DetectionPoster3 citations
1523. A Provably Effective Method for Pruning Experts in Fine-tuned Sparse Mixture-of-ExpertsPoster3 citations
1524. A Simple Early Exiting Framework for Accelerated Sampling in Diffusion ModelsPoster3 citations
1525. A Unified Framework for Learning with Nonlinear Model Classes from Arbitrary Linear SamplesPoster3 citations
1526. A Universal Class of Sharpness-Aware Minimization AlgorithmsPoster3 citations
1527. A3S: A General Active Clustering Method with Pairwise ConstraintsPoster3 citations
1528. AD3: Implicit Action is the Key for World Models to Distinguish the Diverse Visual DistractorsPoster3 citations
1529. ALERT-Transformer: Bridging Asynchronous and Synchronous Machine Learning for Real-Time Event-based Spatio-Temporal DataPoster3 citations
1530. AND: Audio Network Dissection for Interpreting Deep Acoustic ModelsPoster3 citations
1531. Accelerating Heterogeneous Federated Learning with Closed-form ClassifiersPoster3 citations
1532. Accelerating Iterative Retrieval-augmented Language Model Serving with SpeculationPoster3 citations
1533. Accelerating Legacy Numerical Solvers by Non-intrusive Gradient-based Meta-solvingPoster3 citations
1534. Achieving Lossless Gradient Sparsification via Mapping to Alternative Space in Federated LearningPoster3 citations
1535. Active Label Correction for Semantic Segmentation with Foundation ModelsPoster3 citations
1536. Adaptive Accompaniment with ReaLchordsPoster3 citations
1537. AdsorbDiff: Adsorbate Placement via Conditional Denoising DiffusionPoster3 citations
1538. Advancing DRL Agents in Commercial Fighting Games: Training, Integration, and Agent-Human AlignmentPoster3 citations
1539. Advancing Dynamic Sparse Training by Exploring Optimization OpportunitiesPoster3 citations
1540. Adversarial Attacks on Combinatorial Multi-Armed BanditsPoster3 citations
1541. Adversarially Robust Deep Multi-View Clustering: A Novel Attack and Defense FrameworkPoster3 citations
1542. Agnostic Sample Compression Schemes for RegressionSpotlight3 citations
1543. Amortized Equation Discovery in Hybrid Dynamical SystemsPoster3 citations
1544. An Effective Dynamic Gradient Calibration Method for Continual LearningPoster3 citations
1545. An Independence-promoting Loss for Music Generation with Language ModelsPoster3 citations
1546. An amortized approach to non-linear mixed-effects modeling based on neural posterior estimationPoster3 citations
1547. AutoOS: Make Your OS More Powerful by Exploiting Large Language ModelsPoster3 citations
1548. Automating the Selection of Proxy Variables of Unmeasured ConfoundersSpotlight3 citations
1549. Autonomous Sparse Mean-CVaR Portfolio OptimizationPoster3 citations
1550. BLO-SAM: Bi-level Optimization Based Finetuning of the Segment Anything Model for Overfitting-Preventing Semantic SegmentationPoster3 citations
1551. BOtied: Multi-objective Bayesian optimization with tied multivariate ranksPoster3 citations
1552. BRAIn: Bayesian Reward-conditioned Amortized Inference for natural language generation from feedbackPoster3 citations
1553. Bayesian Design Principles for Offline-to-Online Reinforcement LearningPoster3 citations
1554. Bayesian Exploration NetworksPoster3 citations
1555. Bayesian Knowledge Distillation: A Bayesian Perspective of Distillation with Uncertainty QuantificationPoster3 citations
1556. Bayesian Optimization of Function Networks with Partial EvaluationsPoster3 citations
1557. Benign Overfitting in Adversarial Training of Neural NetworksPoster3 citations
1558. Bespoke Non-Stationary Solvers for Fast Sampling of Diffusion and Flow ModelsPoster3 citations
1559. Beyond Implicit Bias: The Insignificance of SGD Noise in Online LearningSpotlight3 citations
1560. Beyond Point Prediction: Score Matching-based Pseudolikelihood Estimation of Neural Marked Spatio-Temporal Point ProcessPoster3 citations
1561. Beyond the Calibration Point: Mechanism Comparison in Differential PrivacyPoster3 citations
1562. Biharmonic Distance of Graphs and its Higher-Order Variants: Theoretical Properties with Applications to Centrality and ClusteringPoster3 citations
1563. Bounded and Uniform Energy-based Out-of-distribution Detection for GraphsPoster3 citations
1564. Breadth-First Exploration on Adaptive Grid for Reinforcement LearningPoster3 citations
1565. Bridging discrete and continuous state spaces: Exploring the Ehrenfest process in time-continuous diffusion modelsPoster3 citations
1566. Bringing Motion Taxonomies to Continuous Domains via GPLVM on Hyperbolic manifoldsPoster3 citations
1567. COPAL: Continual Pruning in Large Language Generative ModelsPoster3 citations
1568. CaPS: Collaborative and Private Synthetic Data Generation from Distributed SourcesPoster3 citations
1569. Can a Few Decide for Many? The Metric Distortion of SortitionPoster3 citations
1570. Chasing Convex Functions with Long-term ConstraintsPoster3 citations
1571. Coactive Learning for Large Language Models using Implicit User FeedbackPoster3 citations
1572. Confidence-aware Contrastive Learning for Selective ClassificationPoster3 citations
1573. Conformalized Survival Distributions: A Generic Post-Process to Increase CalibrationPoster3 citations
1574. Consistent Long-Term Forecasting of Ergodic Dynamical SystemsPoster3 citations
1575. Context-Guided Diffusion for Out-of-Distribution Molecular and Protein DesignPoster3 citations
1576. Contextual Feature Selection with Conditional Stochastic GatesPoster3 citations
1577. Continuous Treatment Effects with Surrogate OutcomesPoster3 citations
1578. Contrastive Learning for Clinical Outcome Prediction with Partial Data SourcesPoster3 citations
1579. Correcting Diffusion-Based Perceptual Image Compression with Privileged End-to-End DecoderPoster3 citations
1580. Counterfactual Metarules for Local and Global RecoursePoster3 citations
1581. Critical feature learning in deep neural networksPoster3 citations
1582. Cross-domain Open-world DiscoveryPoster3 citations
1583. CurBench: Curriculum Learning BenchmarkPoster3 citations
1584. DISCRET: Synthesizing Faithful Explanations For Treatment Effect EstimationSpotlight3 citations
1585. Deep Neural Room Acoustics PrimitivePoster3 citations
1586. Delving into the Convergence of Generalized Smooth Minimax OptimizationPoster3 citations
1587. Density-Softmax: Efficient Test-time Model for Uncertainty Estimation and Robustness under Distribution ShiftsPoster3 citations
1588. Diagnosing the Compositional Knowledge of Vision Language Models from a Game-Theoretic ViewPoster3 citations
1589. Diffusion-based Missing-view Generation With the Application on Incomplete Multi-view ClusteringPoster3 citations
1590. Discovering Multiple Solutions from a Single Task in Offline Reinforcement LearningPoster3 citations
1591. Distributionally Robust Data ValuationPoster3 citations
1592. Do Transformer World Models Give Better Policy Gradients?Poster3 citations
1593. Double Momentum Method for Lower-Level Constrained Bilevel OptimizationPoster3 citations
1594. Double Stochasticity Gazes Faster: Snap-Shot Decentralized Stochastic Gradient Tracking MethodsPoster3 citations
1595. Dynamic Facility Location in High Dimensional Euclidean SpacesSpotlight3 citations
1596. ETHER: Efficient Finetuning of Large-Scale Models with Hyperplane ReflectionsPoster3 citations
1597. Efficient Contextual Bandits with Uninformed Feedback GraphsPoster3 citations
1598. Efficient Error Certification for Physics-Informed Neural NetworksPoster3 citations
1599. Efficient Low-Rank Matrix Estimation, Experimental Design, and Arm-Set-Dependent Low-Rank BanditsPoster3 citations
1600. Efficient Value Iteration for s-rectangular Robust Markov Decision ProcessesPoster3 citations
1601. Encodings for Prediction-based Neural Architecture SearchPoster3 citations
1602. Enhancing Trajectory Prediction through Self-Supervised Waypoint Distortion PredictionPoster3 citations
1603. Enhancing Vision Transformer: Amplifying Non-Linearity in Feedforward Network ModulePoster3 citations
1604. EquiAV: Leveraging Equivariance for Audio-Visual Contrastive LearningPoster3 citations
1605. Evaluation of Test-Time Adaptation Under Computational Time ConstraintsPoster3 citations
1606. EvoRainbow: Combining Improvements in Evolutionary Reinforcement Learning for Policy SearchPoster3 citations
1607. Exact Soft Analytical Side-Channel Attacks using Tractable CircuitsPoster3 citations
1608. Exploring the Benefit of Activation Sparsity in Pre-trainingPoster3 citations
1609. Exploring the Complexity of Deep Neural Networks through Functional EquivalencePoster3 citations
1610. Exploring the LLM Journey from Cognition to Expression with Linear RepresentationsPoster3 citations
1611. Exponential Spectral Pursuit: An Effective Initialization Method for Sparse Phase RetrievalPoster3 citations
1612. FADAS: Towards Federated Adaptive Asynchronous OptimizationPoster3 citations
1613. Fast Co-Training under Weak Dependence via Stream-Based Active LearningOral3 citations
1614. Feasible Reachable Policy IterationPoster3 citations
1615. FightLadder: A Benchmark for Competitive Multi-Agent Reinforcement LearningPoster3 citations
1616. Fourier Controller Networks for Real-Time Decision-Making in Embodied LearningPoster3 citations
1617. Gambling-Based Confidence Sequences for Bounded Random VectorsSpotlight3 citations
1618. Generalization Analysis for Multi-Label LearningPoster3 citations
1619. Generalization Analysis of Deep Non-linear Matrix CompletionPoster3 citations
1620. Generative Enzyme Design Guided by Functionally Important Sites and Small-Molecule SubstratesPoster3 citations
1621. Going beyond Compositions, DDPMs Can Produce Zero-Shot InterpolationsPoster3 citations
1622. Graph Automorphism Group Equivariant Neural NetworksPoster3 citations
1623. Helpful or Harmful Data? Fine-tuning-free Shapley Attribution for Explaining Language Model PredictionsPoster3 citations
1624. High-Dimensional Bayesian Optimization via Semi-Supervised Learning with Optimized Unlabeled Data SamplingSpotlight3 citations
1625. High-Dimensional Kernel Methods under Covariate Shift: Data-Dependent Implicit RegularizationPoster3 citations
1626. High-Probability Bound for Non-Smooth Non-Convex Stochastic Optimization with Heavy TailsPoster3 citations
1627. How Graph Neural Networks Learn: Lessons from Training DynamicsPoster3 citations
1628. How to Leverage Diverse Demonstrations in Offline Imitation LearningPoster3 citations
1629. Improved Communication-Privacy Trade-offs in $L_2$ Mean Estimation under Streaming Differential PrivacyPoster3 citations
1630. Improving Neural Logic Machines via Failure ReflectionPoster3 citations
1631. Improving Token-Based World Models with Parallel Observation PredictionPoster3 citations
1632. Incremental Topological Ordering and Cycle Detection with PredictionsPoster3 citations
1633. Indirectly Parameterized Concrete AutoencodersPoster3 citations
1634. Initial Guessing Bias: How Untrained Networks Favor Some ClassesPoster3 citations
1635. Interpreting and Improving Diffusion Models from an Optimization PerspectivePoster3 citations
1636. Inverse-Variance Weighting for Estimation of Heterogeneous Treatment EffectsPoster3 citations
1637. Investigating Pre-Training Objectives for Generalization in Vision-Based Reinforcement LearningPoster3 citations
1638. Isometric Representation Learning for Disentangled Latent Space of Diffusion ModelsPoster3 citations
1639. Joint Composite Latent Space Bayesian OptimizationPoster3 citations
1640. KISA: A Unified Keyframe Identifier and Skill Annotator for Long-Horizon Robotics DemonstrationsPoster3 citations
1641. KV-Runahead: Scalable Causal LLM Inference by Parallel Key-Value Cache GenerationPoster3 citations
1642. Kernel Semi-Implicit Variational InferencePoster3 citations
1643. KnowFormer: Revisiting Transformers for Knowledge Graph ReasoningPoster3 citations
1644. Knowledge Graphs Can be Learned with Just Intersection FeaturesPoster3 citations
1645. Language Generation with Strictly Proper Scoring RulesPoster3 citations
1646. Language-Driven Cross-Modal Classifier for Zero-Shot Multi-Label Image RecognitionPoster3 citations
1647. Large Scale Dataset Distillation with Domain ShiftPoster3 citations
1648. LayerMerge: Neural Network Depth Compression through Layer Pruning and MergingPoster3 citations
1649. Learning Decision Trees and Forests with Algorithmic RecourseSpotlight3 citations
1650. Learning Label Shift Correction for Test-Agnostic Long-Tailed RecognitionPoster3 citations
1651. Learning Modality Knowledge Alignment for Cross-Modality TransferPoster3 citations
1652. Learning Pseudo-Contractive Denoisers for Inverse ProblemsPoster3 citations
1653. Learning in Feature Spaces via Coupled Covariances: Asymmetric Kernel SVD and Nyström methodPoster3 citations
1654. Learning the Uncertainty Sets of Linear Control Systems via Set Membership: A Non-asymptotic AnalysisPoster3 citations
1655. Learning to Explore in POMDPs with Informational RewardsPoster3 citations
1656. Learning to Stabilize Online Reinforcement Learning in Unbounded State SpacesPoster3 citations
1657. Learning with Adaptive Resource AllocationPoster3 citations
1658. Learning with Complementary Labels Revisited: The Selected-Completely-at-Random Setting Is More PracticalPoster3 citations
1659. Leveraging (Biased) Information: Multi-armed Bandits with Offline DataSpotlight3 citations
1660. Locally Interdependent Multi-Agent MDP: Theoretical Framework for Decentralized Agents with Dynamic DependenciesPoster3 citations
1661. MADA: Meta-Adaptive Optimizers Through Hyper-Gradient DescentPoster3 citations
1662. MC-GTA: Metric-Constrained Model-Based Clustering using Goodness-of-fit Tests with AutocorrelationsPoster3 citations
1663. MLIP: Efficient Multi-Perspective Language-Image Pretraining with Exhaustive Data UtilizationPoster3 citations
1664. MOKD: Cross-domain Finetuning for Few-shot Classification via Maximizing Optimized Kernel DependencePoster3 citations
1665. Maestro: Uncovering Low-Rank Structures via Trainable DecompositionPoster3 citations
1666. Meta-Reinforcement Learning Robust to Distributional Shift Via Performing Lifelong In-Context LearningPoster3 citations
1667. Mitigating Oversmoothing Through Reverse Process of GNNs for Heterophilic GraphsPoster3 citations
1668. MultiMax: Sparse and Multi-Modal Attention LearningPoster3 citations
1669. Multiplicative Weights Update, Area Convexity and Random Coordinate Descent for Densest Subgraph ProblemsOral3 citations
1670. Multiply Robust Estimation for Local Distribution Shifts with Multiple DomainsPoster3 citations
1671. Nesting Particle Filters for Experimental Design in Dynamical SystemsPoster3 citations
1672. Networked Inequality: Preferential Attachment Bias in Graph Neural Network Link PredictionPoster3 citations
1673. Neuro-Symbolic Temporal Point ProcessesPoster3 citations
1674. Noise-Aware Algorithm for Heterogeneous Differentially Private Federated LearningPoster3 citations
1675. Nonsmooth Implicit Differentiation: Deterministic and Stochastic Convergence RatesPoster3 citations
1676. Offline Inverse RL: New Solution Concepts and Provably Efficient AlgorithmsPoster3 citations
1677. Offline Transition Modeling via Contrastive Energy LearningPoster3 citations
1678. Offline-Boosted Actor-Critic: Adaptively Blending Optimal Historical Behaviors in Deep Off-Policy RLPoster3 citations
1679. On PI Controllers for Updating Lagrange Multipliers in Constrained OptimizationPoster3 citations
1680. On the Maximal Local Disparity of Fairness-Aware ClassifiersPoster3 citations
1681. On the Tractability of SHAP Explanations under Markovian DistributionsPoster3 citations
1682. One Meta-tuned Transformer is What You Need for Few-shot LearningSpotlight3 citations
1683. One for All: A Universal Generator for Concept Unlearnability via Multi-Modal AlignmentPoster3 citations
1684. Online bipartite matching with imperfect advicePoster3 citations
1685. Optimal Batched Linear BanditsPoster3 citations
1686. Optimal Hessian/Jacobian-Free Nonconvex-PL Bilevel OptimizationOral3 citations
1687. Optimal Kernel Choice for Score Function-based Causal DiscoveryPoster3 citations
1688. Optimal Recurrent Network Topologies for Dynamical Systems ReconstructionPoster3 citations
1689. PAGER: Accurate Failure Characterization in Deep Regression ModelsPoster3 citations
1690. Pedestrian Attribute Recognition as Label-balanced Multi-label LearningPoster3 citations
1691. Perfect Alignment May be Poisonous to Graph Contrastive LearningPoster3 citations
1692. Piecewise Constant and Linear Regression Trees: An Optimal Dynamic Programming ApproachPoster3 citations
1693. PlanDQ: Hierarchical Plan Orchestration via D-Conductor and Q-PerformerPoster3 citations
1694. Position: Automatic Environment Shaping is the Next Frontier in RLOral3 citations
1695. Position: Building Guardrails for Large Language Models Requires Systematic DesignPoster3 citations
1696. Position: Data Authenticity, Consent, & Provenance for AI are all broken: what will it take to fix them?Spotlight3 citations
1697. Position: Exploring the Robustness of Pipeline-Parallelism-Based Decentralized TrainingPoster3 citations
1698. Position: Reinforcement Learning in Dynamic Treatment Regimes Needs Critical ReexaminationSpotlight3 citations
1699. Position: Tensor Networks are a Valuable Asset for Green AIPoster3 citations
1700. Positional Knowledge is All You Need: Position-induced Transformer (PiT) for Operator LearningPoster3 citations
1701. Positive Concave Deep Equilibrium ModelsPoster3 citations
1702. Positive and Unlabeled Learning with Controlled Probability Boundary FencePoster3 citations
1703. Predictive Coding beyond CorrelationsPoster3 citations
1704. Preference Optimization for Molecule Synthesis with Conditional Residual Energy-based ModelsOral3 citations
1705. Private Vector Mean Estimation in the Shuffle Model: Optimal Rates Require Many MessagesPoster3 citations
1706. Probabilistic Constrained Reinforcement Learning with Formal InterpretabilityPoster3 citations
1707. Prompting is a Double-Edged Sword: Improving Worst-Group Robustness of Foundation ModelsPoster3 citations
1708. Provably Better Explanations with Optimized Aggregation of Feature AttributionsPoster3 citations
1709. Provably Efficient Reinforcement Learning for Adversarial Restless Multi-Armed Bandits with Unknown Transitions and Bandit FeedbackPoster3 citations
1710. Provably Neural Active Learning Succeeds via Prioritizing Perplexing SamplesPoster3 citations
1711. Q-Probe: A Lightweight Approach to Reward Maximization for Language ModelsPoster3 citations
1712. Quasi-Monte Carlo Features for Kernel ApproximationSpotlight3 citations
1713. Random matrix theory improved Fréchet mean of symmetric positive definite matricesPoster3 citations
1714. Ranking-based Client Imitation Selection for Efficient Federated LearningPoster3 citations
1715. Reducing Balancing Error for Causal Inference via Optimal TransportPoster3 citations
1716. Reflected Flow MatchingPoster3 citations
1717. Representing Molecules as Random Walks Over Interpretable GrammarsSpotlight3 citations
1718. Residual-Conditioned Optimal Transport: Towards Structure-Preserving Unpaired and Paired Image RestorationPoster3 citations
1719. Restoring balance: principled under/oversampling of data for optimal classificationPoster3 citations
1720. Rethinking Guidance Information to Utilize Unlabeled Samples: A Label Encoding PerspectivePoster3 citations
1721. Rethinking Transformers in Solving POMDPsPoster3 citations
1722. Rethinking the Flat Minima Searching in Federated LearningPoster3 citations
1723. Revisiting Scalable Hessian Diagonal Approximations for Applications in Reinforcement LearningPoster3 citations
1724. Roping in Uncertainty: Robustness and Regularization in Markov GamesPoster3 citations
1725. Rényi Pufferfish Privacy: General Additive Noise Mechanisms and Privacy Amplification by Iteration via Shift Reduction LemmasPoster3 citations
1726. SCoRe: Submodular Combinatorial Representation LearningPoster3 citations
1727. SHINE: Shielding Backdoors in Deep Reinforcement LearningPoster3 citations
1728. Scalable Multiple Kernel Clustering: Learning Clustering Structure from ExpectationPoster3 citations
1729. Scene Graph Generation Strategy with Co-occurrence Knowledge and Learnable Term FrequencyPoster3 citations
1730. Self-Attention through Kernel-Eigen Pair Sparse Variational Gaussian ProcessesPoster3 citations
1731. Self-Infilling Code GenerationPoster3 citations
1732. Sequential Disentanglement by Extracting Static Information From A Single Sequence ElementPoster3 citations
1733. Simulation-Based Inference with Quantile RegressionPoster3 citations
1734. Slicing Mutual Information Generalization Bounds for Neural NetworksPoster3 citations
1735. Small-loss Adaptive Regret for Online Convex OptimizationPoster3 citations
1736. Sparse Dimensionality Reduction RevisitedPoster3 citations
1737. Sparse Inducing Points in Deep Gaussian Processes: Enhancing Modeling with Denoising Diffusion Variational InferenceOral3 citations
1738. Sparse-to-dense Multimodal Image Registration via Multi-Task LearningPoster3 citations
1739. Stability-Informed Initialization of Neural Ordinary Differential EquationsPoster3 citations
1740. StackSight: Unveiling WebAssembly through Large Language Models and Neurosymbolic Chain-of-Thought DecompilationSpotlight3 citations
1741. Statistical Properties of Robust SatisficingPoster3 citations
1742. Stochastic Gradient Flow Dynamics of Test Risk and its Exact Solution for Weak FeaturesPoster3 citations
1743. Stochastic Q-learning for Large Discrete Action SpacesPoster3 citations
1744. Subsampling is not Magic: Why Large Batch Sizes Work for Differentially Private Stochastic OptimisationPoster3 citations
1745. Symmetric Matrix Completion with ReLU SamplingPoster3 citations
1746. Synergistic Integration of Coordinate Network and Tensorial Feature for Improving Neural Radiance Fields from Sparse InputsPoster3 citations
1747. Tackling Prevalent Conditions in Unsupervised Combinatorial Optimization: Cardinality, Minimum, Covering, and MorePoster3 citations
1748. Temporal Spiking Neural Networks with Synaptic Delay for Graph ReasoningPoster3 citations
1749. Test-Time Regret Minimization in Meta Reinforcement LearningPoster3 citations
1750. Thermometer: Towards Universal Calibration for Large Language ModelsPoster3 citations
1751. Towards Compositionality in Concept LearningPoster3 citations
1752. Towards Efficient Training and Evaluation of Robust Models against $l_0$ Bounded Adversarial PerturbationsPoster3 citations
1753. Towards Generalization beyond Pointwise Learning: A Unified Information-theoretic PerspectivePoster3 citations
1754. Trustworthy Alignment of Retrieval-Augmented Large Language Models via Reinforcement LearningPoster3 citations
1755. Two-timescale Derivative Free Optimization for Performative Prediction with Markovian DataPoster3 citations
1756. Uncertainty Estimation by Density Aware Evidential Deep LearningPoster3 citations
1757. Understanding and Diagnosing Deep Reinforcement LearningPoster3 citations
1758. Unified Generation, Reconstruction, and Representation: Generalized Diffusion with Adaptive Latent Encoding-DecodingPoster3 citations
1759. Uniformly Stable Algorithms for Adversarial Training and BeyondPoster3 citations
1760. Unleashing the Power of Meta-tuning for Few-shot Generalization Through Sparse Interpolated ExpertsPoster3 citations
1761. Unmasking Vulnerabilities: Cardinality Sketches under Adaptive InputsPoster3 citations
1762. Unsupervised Parameter-free Simplicial Representation Learning with Scattering TransformsPoster3 citations
1763. Unveiling the Dynamics of Information Interplay in Supervised LearningPoster3 citations
1764. Unveiling the Potential of AI for Nanomaterial Morphology PredictionPoster3 citations
1765. Vague Prototype-Oriented Diffusion Model for Multi-Class Anomaly DetectionPoster3 citations
1766. Visual Representation Learning with Stochastic Frame PredictionPoster3 citations
1767. Weakly-Supervised Residual Evidential Learning for Multi-Instance Uncertainty EstimationPoster3 citations
1768. What Will My Model Forget? Forecasting Forgotten Examples in Language Model RefinementSpotlight3 citations
1769. 3D Geometric Shape Assembly via Efficient Point Cloud MatchingPoster2 citations
1770. A Contextual Combinatorial Bandit Approach to NegotiationPoster2 citations
1771. A Dual-module Framework for Counterfactual Estimation over TimePoster2 citations
1772. A Fixed-Point Approach for Causal Generative ModelingPoster2 citations
1773. A Generative Approach for Treatment Effect Estimation under Collider Bias: From an Out-of-Distribution PerspectivePoster2 citations
1774. A Neural-Guided Dynamic Symbolic Network for Exploring Mathematical Expressions from DataPoster2 citations
1775. A Persuasive Approach to Combating MisinformationPoster2 citations
1776. A Probabilistic Approach to Learning the Degree of Equivariance in Steerable CNNsPoster2 citations
1777. A Rate-Distortion View of Uncertainty QuantificationPoster2 citations
1778. AMPA: Adaptive Mixed Precision Allocation for Low-Bit Integer TrainingPoster2 citations
1779. ATraDiff: Accelerating Online Reinforcement Learning with Imaginary TrajectoriesPoster2 citations
1780. Absolute Policy Optimization: Enhancing Lower Probability Bound of Performance with High ConfidencePoster2 citations
1781. Accelerated Policy Gradient: On the Convergence Rates of the Nesterov Momentum for Reinforcement LearningPoster2 citations
1782. Accelerated Speculative Sampling Based on Tree Monte CarloPoster2 citations
1783. Accelerating Look-ahead in Bayesian Optimization: Multilevel Monte Carlo is All you NeedPoster2 citations
1784. Accelerating PDE Data Generation via Differential Operator Action in Solution SpacePoster2 citations
1785. Achieving Margin Maximization Exponentially Fast via Progressive Norm RescalingPoster2 citations
1786. Adapt and Diffuse: Sample-adaptive Reconstruction via Latent Diffusion ModelsSpotlight2 citations
1787. Adaptive Observation Cost Control for Variational Quantum EigensolversPoster2 citations
1788. Adaptive Sampling of k-Space in Magnetic Resonance for Rapid Pathology PredictionPoster2 citations
1789. Adaptive-Gradient Policy Optimization: Enhancing Policy Learning in Non-Smooth Differentiable SimulationsPoster2 citations
1790. Ambiguity-Aware Abductive LearningPoster2 citations
1791. Amortized Variational Deep Kernel LearningPoster2 citations
1792. Amortizing Pragmatic Program Synthesis with RankingsPoster2 citations
1793. An Efficient Maximal Ancestral Graph Listing AlgorithmSpotlight2 citations
1794. An Empirical Examination of Balancing Strategy for Counterfactual Estimation on Time SeriesPoster2 citations
1795. An Online Optimization Perspective on First-Order and Zero-Order Decentralized Nonsmooth Nonconvex Stochastic OptimizationPoster2 citations
1796. Attack-free Evaluating and Enhancing Adversarial Robustness on Categorical DataPoster2 citations
1797. Attribute Based Interpretable Evaluation Metrics for Generative ModelsPoster2 citations
1798. Averaging $n$-step Returns Reduces Variance in Reinforcement LearningPoster2 citations
1799. Barrier Algorithms for Constrained Non-Convex OptimizationPoster2 citations
1800. Better Locally Private Sparse Estimation Given Multiple Samples Per UserPoster2 citations
1801. Bidirectional Reciprocative Information Communication for Few-Shot Semantic SegmentationPoster2 citations
1802. Boosting Reinforcement Learning with Strongly Delayed Feedback Through Auxiliary Short DelaysPoster2 citations
1803. Bottleneck-Minimal Indexing for Generative Document RetrievalOral2 citations
1804. Breaking the Barrier: Enhanced Utility and Robustness in Smoothed DRL AgentsPoster2 citations
1805. Bridging Mini-Batch and Asymptotic Analysis in Contrastive Learning: From InfoNCE to Kernel-Based LossesPoster2 citations
1806. By Tying Embeddings You Are Assuming the Distributional HypothesisSpotlight2 citations
1807. CauDiTS: Causal Disentangled Domain Adaptation of Multivariate Time SeriesPoster2 citations
1808. Certifiably Byzantine-Robust Federated Conformal PredictionPoster2 citations
1809. Characterizing Large Language Model Geometry Helps Solve Toxicity Detection and GenerationPoster2 citations
1810. Classification under Nuisance Parameters and Generalized Label Shift in Likelihood-Free InferencePoster2 citations
1811. Closing the Gap: Achieving Global Convergence (Last Iterate) of Actor-Critic under Markovian Sampling with Neural Network ParametrizationSpotlight2 citations
1812. Collapse-Aware Triplet Decoupling for Adversarially Robust Image RetrievalPoster2 citations
1813. Combinatorial Approximations for Cluster Deletion: Simpler, Faster, and BetterPoster2 citations
1814. Convergence of Online Learning Algorithm for a Mixture of Multiple Linear RegressionsPoster2 citations
1815. Counterfactual Reasoning for Multi-Label Image Classification via Patching-Based TrainingPoster2 citations
1816. DFA-RAG: Conversational Semantic Router for Large Language Model with Definite Finite AutomatonPoster2 citations
1817. DIDI: Diffusion-Guided Diversity for Offline Behavioral GenerationPoster2 citations
1818. DSD-DA: Distillation-based Source Debiasing for Domain Adaptive Object DetectionPoster2 citations
1819. Data-free Distillation of Diffusion Models with BootstrappingPoster2 citations
1820. DataFreeShield: Defending Adversarial Attacks without Training DataPoster2 citations
1821. Debiased Distribution CompressionPoster2 citations
1822. Decomposable Submodular Maximization in Federated SettingPoster2 citations
1823. Decoupling Learning and Decision-Making: Breaking the $\mathcal{O}(\sqrt{T})$ Barrier in Online Resource Allocation with First-Order MethodsPoster2 citations
1824. Deep Regression Representation Learning with TopologyPoster2 citations
1825. Detecting Any instruction-to-answer interaction relationship:Universal Instruction-to-Answer Navigator for Med-VQAPoster2 citations
1826. DiffFPR: Diffusion Prior for Oversampled Fourier Phase RetrievalPoster2 citations
1827. Differentiable Model Scaling using Differentiable TopkPoster2 citations
1828. Disparate Impact on Group Accuracy of Linearization for Private InferencePoster2 citations
1829. Distilling Morphology-Conditioned Hypernetworks for Efficient Universal Morphology ControlPoster2 citations
1830. Distributed Bilevel Optimization with Communication CompressionPoster2 citations
1831. Ditto: Quantization-aware Secure Inference of Transformers upon MPCPoster2 citations
1832. Do Topological Characteristics Help in Knowledge Distillation?Poster2 citations
1833. Don't be so Negative! Score-based Generative Modeling with Oracle-assisted GuidancePoster2 citations
1834. Dynamic Anisotropic Smoothing for Noisy Derivative-Free OptimizationPoster2 citations
1835. Dynamic Byzantine-Robust Learning: Adapting to Switching Byzantine WorkersPoster2 citations
1836. Dynamic Survival Analysis with Controlled Latent StatesPoster2 citations
1837. ESNet: Evolution and Succession Network for High-Resolution Salient Object DetectionPoster2 citations
1838. Effects of Exponential Gaussian Distribution on (Double Sampling) Randomized SmoothingPoster2 citations
1839. Efficient Black-box Adversarial Attacks via Bayesian Optimization Guided by a Function PriorPoster2 citations
1840. Efficient Non-stationary Online Learning by Wavelets with Applications to Online Distribution Shift AdaptationPoster2 citations
1841. Efficient PAC Learnability of Dynamical Systems Over Multilayer NetworksPoster2 citations
1842. Enhancing Adversarial Robustness in SNNs with Sparse GradientsPoster2 citations
1843. Enhancing Class-Imbalanced Learning with Pre-Trained Guidance through Class-Conditional Knowledge DistillationPoster2 citations
1844. Ensemble Pruning for Out-of-distribution GeneralizationPoster2 citations
1845. Entropy-Reinforced Planning with Large Language Models for Drug DiscoveryPoster2 citations
1846. Et Tu Certifications: Robustness Certificates Yield Better Adversarial ExamplesPoster2 citations
1847. Evaluating Model Bias Requires Characterizing its MistakesPoster2 citations
1848. Evaluation of Trajectory Distribution Predictions with Energy ScorePoster2 citations
1849. Exploiting Human-AI Dependence for Learning to DeferPoster2 citations
1850. Exploiting Negative Samples: A Catalyst for Cohort Discovery in Healthcare AnalyticsPoster2 citations
1851. Exploring Training on Heterogeneous Data with Mixture of Low-rank AdaptersPoster2 citations
1852. Exploring the Enigma of Neural Dynamics Through A Scattering-Transform Mixer Landscape for Riemannian ManifoldPoster2 citations
1853. Fast Peer Adaptation with Context-aware ExplorationPoster2 citations
1854. Feasibility Consistent Representation Learning for Safe Reinforcement LearningPoster2 citations
1855. FedBAT: Communication-Efficient Federated Learning via Learnable BinarizationPoster2 citations
1856. FedLMT: Tackling System Heterogeneity of Federated Learning via Low-Rank Model Training with Theoretical GuaranteesPoster2 citations
1857. Finding NEM-U: Explaining unsupervised representation learning through neural network generated explanation masksPoster2 citations
1858. Fine-grained Classes and How to Find ThemPoster2 citations
1859. From Coarse to Fine: Enable Comprehensive Graph Self-supervised Learning with Multi-granular Semantic EnsembleOral2 citations
1860. From Inverse Optimization to Feasibility to ERMPoster2 citations
1861. From Vision to Audio and Beyond: A Unified Model for Audio-Visual Representation and GenerationPoster2 citations
1862. Generalized Smooth Variational Inequalities: Methods with Adaptive StepsizesPoster2 citations
1863. Geometry-Calibrated DRO: Combating Over-Pessimism with Free Energy ImplicationsPoster2 citations
1864. GiLOT: Interpreting Generative Language Models via Optimal TransportPoster2 citations
1865. Gradual Divergence for Seamless Adaptation: A Novel Domain Incremental Learning MethodPoster2 citations
1866. Graph Neural Networks with a Distribution of Parametrized GraphsPoster2 citations
1867. GroupCover: A Secure, Efficient and Scalable Inference Framework for On-device Model Protection based on TEEsPoster2 citations
1868. HGCN2SP: Hierarchical Graph Convolutional Network for Two-Stage Stochastic ProgrammingPoster2 citations
1869. Handling Heterogeneous Curvatures in Bandit LQR ControlSpotlight2 citations
1870. High-dimensional Linear Bandits with KnapsacksPoster2 citations
1871. Highway Value Iteration NetworksPoster2 citations
1872. How Deep Do We Need: Accelerating Training and Inference of Neural ODEs via Control PerspectivePoster2 citations
1873. How Far Can Fairness Constraints Help Recover From Biased Data?Poster2 citations
1874. How to Explore with Belief: State Entropy Maximization in POMDPsPoster2 citations
1875. Human-like Category Learning by Injecting Ecological Priors from Large Language Models into Neural NetworksPoster2 citations
1876. Hyperbolic Optimizer as a Dynamical SystemPoster2 citations
1877. Identifiability Matters: Revealing the Hidden Recoverable Condition in Unbiased Learning to RankPoster2 citations
1878. Imitation Learning from Purified DemonstrationsPoster2 citations
1879. Implicit Bias of Policy Gradient in Linear Quadratic Control: Extrapolation to Unseen Initial StatesPoster2 citations
1880. Implicit Representations for Constrained Image SegmentationPoster2 citations
1881. Improving Antibody Humanness Prediction using Patent DataPoster2 citations
1882. Improving Group Robustness on Spurious Correlation Requires Preciser Group InferencePoster2 citations
1883. Improving Prototypical Visual Explanations with Reward Reweighing, Reselection, and RetrainingPoster2 citations
1884. Information Complexity of Stochastic Convex Optimization: Applications to Generalization, Memorization, and TracingOral2 citations
1885. Interpreting Equivariant RepresentationsPoster2 citations
1886. Just Cluster It: An Approach for Exploration in High-Dimensions using Clustering and Pre-Trained RepresentationsPoster2 citations
1887. Kernel Debiased Plug-in Estimation: Simultaneous, Automated Debiasing without Influence Functions for Many Target ParametersPoster2 citations
1888. Keypoint-based Progressive Chain-of-Thought Distillation for LLMsPoster2 citations
1889. Knowledge-aware Reinforced Language Models for Protein Directed EvolutionPoster2 citations
1890. Learning Causal Domain-Invariant Temporal Dynamics for Few-Shot Action RecognitionPoster2 citations
1891. Learning Causal Dynamics Models in Object-Oriented EnvironmentsPoster2 citations
1892. Learning Cognitive Maps from Transformer Representations for Efficient Planning in Partially Observed EnvironmentsPoster2 citations
1893. Learning Low-dimensional Latent Dynamics from High-dimensional Observations: Non-asymptotics and Lower BoundsPoster2 citations
1894. Learning Optimal Deterministic Policies with Stochastic Policy GradientsSpotlight2 citations
1895. Learning Scale-Aware Spatio-temporal Implicit Representation for Event-based Motion DeblurringPoster2 citations
1896. Learning Solution-Aware Transformers for Efficiently Solving Quadratic Assignment ProblemPoster2 citations
1897. Learning from Memory: Non-Parametric Memory Augmented Self-Supervised Learning of Visual FeaturesPoster2 citations
1898. Learning from Streaming Data when Users ChoosePoster2 citations
1899. Learning to Infer Generative Template Programs for Visual ConceptsPoster2 citations
1900. Learning to Play Atari in a World of TokensPoster2 citations
1901. Learning to Remove Cuts in Integer Linear ProgrammingPoster2 citations
1902. Learning with Partial-Label and Unlabeled Data: A Uniform Treatment for Supervision Redundancy and InsufficiencySpotlight2 citations
1903. Listwise Reward Estimation for Offline Preference-based Reinforcement LearningPoster2 citations
1904. Local Feature Selection without Label or Feature Leakage for Interpretable Machine Learning PredictionsPoster2 citations
1905. Look Ahead or Look Around? A Theoretical Comparison Between Autoregressive and Masked PretrainingPoster2 citations
1906. Lookbehind-SAM: k steps back, 1 step forwardPoster2 citations
1907. Low-Rank Bandits via Tight Two-to-Infinity Singular Subspace RecoveryPoster2 citations
1908. Low-Rank Similarity Mining for Multimodal Dataset DistillationPoster2 citations
1909. MALIBO: Meta-learning for Likelihood-free Bayesian OptimizationSpotlight2 citations
1910. MD tree: a model-diagnostic tree grown on loss landscapePoster2 citations
1911. MGit: A Model Versioning and Management SystemPoster2 citations
1912. MILP-FBGen: LP/MILP Instance Generation with Feasibility/BoundednessPoster2 citations
1913. Memory Efficient Neural Processes via Constant Memory Attention BlockPoster2 citations
1914. Meta-Learners for Partially-Identified Treatment Effects Across Multiple EnvironmentsPoster2 citations
1915. Mobile Attention: Mobile-Friendly Linear-Attention for Vision TransformersPoster2 citations
1916. Modelling Microbial Communities with Graph Neural NetworksPoster2 citations
1917. Multi-Agent Reinforcement Learning Meets Leaf Sequencing in RadiotherapyPoster2 citations
1918. Multi-Agent Reinforcement Learning with Hierarchical Coordination for Emergency Responder StationingPoster2 citations
1919. Multi-View Stochastic Block ModelsPoster2 citations
1920. Nash Incentive-compatible Online Mechanism Learning via Weakly Differentially Private Online LearningPoster2 citations
1921. Near-Linear Time Approximation Algorithms for k-means with OutliersPoster2 citations
1922. Near-Optimal Reinforcement Learning with Self-Play under Adaptivity ConstraintsPoster2 citations
1923. New Bounds on the Cohesion of Complete-link and Other Linkage Methods for Agglomerative ClusteringPoster2 citations
1924. Non-Asymptotic Analysis for Single-Loop (Natural) Actor-Critic with Compatible Function ApproximationPoster2 citations
1925. OAK: Enriching Document Representations using Auxiliary Knowledge for Extreme ClassificationPoster2 citations
1926. ODIM: Outlier Detection via Likelihood of Under-Fitted Generative ModelsPoster2 citations
1927. OLLIE: Imitation Learning from Offline Pretraining to Online FinetuningPoster2 citations
1928. OMPO: A Unified Framework for RL under Policy and Dynamics ShiftsOral2 citations
1929. On The Fairness Impacts of Hardware Selection in Machine LearningPoster2 citations
1930. On The Statistical Complexity of Offline Decision-MakingPoster2 citations
1931. On a Combinatorial Problem Arising in Machine TeachingPoster2 citations
1932. On a Neural Implementation of Brenier's Polar FactorizationSpotlight2 citations
1933. On the Complexity of Finite-Sum Smooth Optimization under the Polyak–Łojasiewicz ConditionSpotlight2 citations
1934. On the Error-Propagation of Inexact Hotelling's Deflation for Principal Component AnalysisPoster2 citations
1935. On the Second-Order Convergence of Biased Policy Gradient AlgorithmsPoster2 citations
1936. On the Unexpected Effectiveness of Reinforcement Learning for Sequential RecommendationPoster2 citations
1937. One Prompt is not Enough: Automated Construction of a Mixture-of-Expert PromptsPoster2 citations
1938. Online Cascade Learning for Efficient Inference over StreamsPoster2 citations
1939. Online Matrix Completion: A Collaborative Approach with Hott ItemsPoster2 citations
1940. Online Variational Sequential Monte CarloPoster2 citations
1941. Open Ad Hoc Teamwork with Cooperative Game TheoryPoster2 citations
1942. PAPM: A Physics-aware Proxy Model for Process SystemsPoster2 citations
1943. PASOA- PArticle baSed Bayesian Optimal Adaptive designPoster2 citations
1944. Parallel Affine Transformation Tuning of Markov Chain Monte CarloPoster2 citations
1945. Parameter-Efficient Fine-Tuning with ControlsPoster2 citations
1946. Partial Multi-View Multi-Label Classification via Semantic Invariance Learning and Prototype ModelingPoster2 citations
1947. Pausing Policy Learning in Non-stationary Reinforcement LearningOral2 citations
1948. PcLast: Discovering Plannable Continuous Latent StatesPoster2 citations
1949. Pessimism Meets Risk: Risk-Sensitive Offline Reinforcement LearningSpotlight2 citations
1950. Pi-DUAL: Using privileged information to distinguish clean from noisy labelsPoster2 citations
1951. Pluvial Flood Emulation with Hydraulics-informed Message PassingPoster2 citations
1952. Policy Evaluation for Variance in Average Reward Reinforcement LearningPoster2 citations
1953. Policy-conditioned Environment Models are More GeneralizablePoster2 citations
1954. Position: Beyond Personhood: Agency, Accountability, and the Limits of Anthropomorphic Ethical AnalysisOral2 citations
1955. Position: Cracking the Code of Cascading Disparity Towards Marginalized CommunitiesPoster2 citations
1956. Position: Do pretrained Transformers Learn In-Context by Gradient Descent?Oral2 citations
1957. Position: Fundamental Limitations of LLM Censorship Necessitate New ApproachesPoster2 citations
1958. Position: Scaling Simulation is Neither Necessary Nor Sufficient for In-the-Wild Robot ManipulationPoster2 citations
1959. Position: The Causal Revolution Needs Scientific PragmatismPoster2 citations
1960. Position: What makes an image realistic?Spotlight2 citations
1961. Pragmatic Feature Preferences: Learning Reward-Relevant Preferences from Human InputPoster2 citations
1962. PriorBoost: An Adaptive Algorithm for Learning from Aggregate ResponsesSpotlight2 citations
1963. Privacy Preserving Adaptive Experiment DesignOral2 citations
1964. Privacy-Preserving Embedding via Look-up Table Evaluation with Fully Homomorphic EncryptionPoster2 citations
1965. Probabilistic Modeling of Interpersonal Coordination ProcessesPoster2 citations
1966. Probabilistic Routing for Graph-Based Approximate Nearest Neighbor SearchPoster2 citations
1967. Probabilistic Subgoal Representations for Hierarchical Reinforcement LearningPoster2 citations
1968. Probability Distribution of Hypervolume Improvement in Bi-objective Bayesian OptimizationPoster2 citations
1969. Projection-Free Variance Reduction Methods for Stochastic Constrained Multi-Level Compositional OptimizationPoster2 citations
1970. Prompt-guided Precise Audio Editing with Diffusion ModelsPoster2 citations
1971. Prospector Heads: Generalized Feature Attribution for Large Models & DataPoster2 citations
1972. Provable Privacy with Non-Private Pre-ProcessingPoster2 citations
1973. Quality-Diversity with Limited ResourcesPoster2 citations
1974. Quantum Theory and Application of Contextual Optimal TransportPoster2 citations
1975. RVI-SAC: Average Reward Off-Policy Deep Reinforcement LearningPoster2 citations
1976. Reducing sequential change detection to sequential estimationPoster2 citations
1977. Reference Neural Operators: Learning the Smooth Dependence of Solutions of PDEs on Geometric DeformationsPoster2 citations
1978. Reflective Policy OptimizationPoster2 citations
1979. Removing Spurious Concepts from Neural Network Representations via Joint Subspace EstimationPoster2 citations
1980. Resisting Stochastic Risks in Diffusion Planners with the Trajectory Aggregation TreeSpotlight2 citations
1981. Revisiting Inexact Fixed-Point Iterations for Min-Max Problems: Stochasticity and Structured NonconvexityPoster2 citations
1982. Rich-Observation Reinforcement Learning with Continuous Latent DynamicsPoster2 citations
1983. RoboMP$^2$: A Robotic Multimodal Perception-Planning Framework with Multimodal Large Language ModelsPoster2 citations
1984. Run-Time Task Composition with Safety SemanticsPoster2 citations
1985. S$\Omega$I: Score-based O-INFORMATION EstimationOral2 citations
1986. SAPG: Split and Aggregate Policy GradientsOral2 citations
1987. SF-DQN: Provable Knowledge Transfer using Successor Feature for Deep Reinforcement LearningPoster2 citations
1988. SSL4Q: Semi-Supervised Learning of Quantum Data with Application to Quantum State ClassificationPoster2 citations
1989. SaVeR: Optimal Data Collection Strategy for Safe Policy Evaluation in Tabular MDPPoster2 citations
1990. Safe and Robust Subgame Exploitation in Imperfect Information GamesPoster2 citations
1991. Sampling is as easy as keeping the consistency: convergence guarantee for Consistency ModelsPoster2 citations
1992. Scalable Safe Policy Improvement for Factored Multi-Agent MDPsPoster2 citations
1993. Scaling Beyond the GPU Memory Limit for Large Mixture-of-Experts Model TrainingPoster2 citations
1994. Self-cognitive Denoising in the Presence of Multiple Noisy Label SourcesPoster2 citations
1995. SiBBlInGS: Similarity-driven Building-Block Inference using Graphs across StatesPoster2 citations
1996. Sign Gradient Descent-based Neuronal Dynamics: ANN-to-SNN Conversion Beyond ReLU NetworkPoster2 citations
1997. SignSGD with Federated Defense: Harnessing Adversarial Attacks through Gradient Sign DecodingPoster2 citations
1998. Socialized Learning: Making Each Other Better Through Multi-Agent CollaborationPoster2 citations
1999. Solving Poisson Equations using Neural Walk-on-SpheresPoster2 citations
2000. Spectral Preconditioning for Gradient Methods on Graded Non-convex FunctionsPoster2 citations

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