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ICLR 2023 Accepted Papers

The full list of 1,575 papers accepted at ICLR 2023 (International Conference on Learning Representations). Click any title for details, similar papers, and links to the original source. You can also search these papers by meaning, not just keywords.

Poster: 1,204Top-25%: 280Top-5%: 91
  1. A Holistic View of Label Noise Transition Matrix in Deep Learning and BeyondTop-25%14 citations
  2. A Laplace-inspired Distribution on SO(3) for Probabilistic Rotation EstimationTop-25%14 citations
  3. A Learning Based Hypothesis Test for Harmful Covariate ShiftPoster14 citations
  4. Asymptotic Instance-Optimal Algorithms for Interactive Decision MakingPoster14 citations
  5. Capturing the Motion of Every Joint: 3D Human Pose and Shape Estimation with Independent TokensTop-25%14 citations
  6. Causal Reasoning in the Presence of Latent Confounders via Neural ADMG LearningPoster14 citations
  7. Collaborative Pure Exploration in Kernel BanditPoster14 citations
  8. Contrastive Corpus Attribution for Explaining RepresentationsPoster14 citations
  9. Cycle to Clique (Cy2C) Graph Neural Network: A Sight to See beyond Neighborhood AggregationPoster14 citations
  10. DFPC: Data flow driven pruning of coupled channels without data.Poster14 citations
  11. EUCLID: Towards Efficient Unsupervised Reinforcement Learning with Multi-choice Dynamics ModelPoster14 citations
  12. FedDAR: Federated Domain-Aware Representation LearningPoster14 citations
  13. Geometrically regularized autoencoders for non-Euclidean dataPoster14 citations
  14. Guarded Policy Optimization with Imperfect Online DemonstrationsTop-25%14 citations
  15. Imitating Graph-Based Planning with Goal-Conditioned PoliciesPoster14 citations
  16. Integrating Symmetry into Differentiable Planning with Steerable ConvolutionsPoster14 citations
  17. Iterative Circuit Repair Against Formal SpecificationsPoster14 citations
  18. Iterative Patch Selection for High-Resolution Image RecognitionPoster14 citations
  19. Learning Symbolic Models for Graph-structured Physical MechanismPoster14 citations
  20. LilNetX: Lightweight Networks with EXtreme Model Compression and Structured SparsificationPoster14 citations
  21. Maximizing Spatio-Temporal Entropy of Deep 3D CNNs for Efficient Video RecognitionPoster14 citations
  22. Neural Episodic Control with State AbstractionTop-25%14 citations
  23. Not All Tasks Are Born Equal: Understanding Zero-Shot GeneralizationTop-25%14 citations
  24. On the Feasibility of Cross-Task Transfer with Model-Based Reinforcement LearningPoster14 citations
  25. Online Low Rank Matrix CompletionPoster14 citations
  26. Outcome-directed Reinforcement Learning by Uncertainty \& Temporal Distance-Aware Curriculum Goal GenerationTop-25%14 citations
  27. Revisit Finetuning strategy for Few-Shot Learning to Transfer the EmdeddingsPoster14 citations
  28. RoPAWS: Robust Semi-supervised Representation Learning from Uncurated DataPoster14 citations
  29. Sequential Attention for Feature SelectionPoster14 citations
  30. Supervision Complexity and its Role in Knowledge DistillationPoster14 citations
  31. TempCLR: Temporal Alignment Representation with Contrastive LearningPoster14 citations
  32. Trainable Weight Averaging: Efficient Training by Optimizing Historical SolutionsPoster14 citations
  33. Weakly Supervised Explainable Phrasal Reasoning with Neural Fuzzy LogicPoster14 citations
  34. A Convergent Single-Loop Algorithm for Relaxation of Gromov-Wasserstein in Graph DataPoster13 citations
  35. A Kernel Perspective of Skip Connections in Convolutional NetworksTop-5%13 citations
  36. A View From Somewhere: Human-Centric Face RepresentationsPoster13 citations
  37. A law of adversarial risk, interpolation, and label noisePoster13 citations
  38. Achieving Near-Optimal Individual Regret & Low Communications in Multi-Agent BanditsPoster13 citations
  39. Active Learning in Bayesian Neural Networks with Balanced Entropy Learning PrincipleTop-25%13 citations
  40. Adversarial Imitation Learning with PreferencesPoster13 citations
  41. Bidirectional Propagation for Cross-Modal 3D Object DetectionPoster13 citations
  42. Budgeted Training for Vision TransformerPoster13 citations
  43. Causal Estimation for Text Data with (Apparent) Overlap ViolationsPoster13 citations
  44. Characterizing the spectrum of the NTK via a power series expansionPoster13 citations
  45. Combinatorial Pure Exploration of Causal BanditsPoster13 citations
  46. DAG Learning on the PermutahedronPoster13 citations
  47. DINO as a von Mises-Fisher mixture modelTop-25%13 citations
  48. Differentially Private Adaptive Optimization with Delayed PreconditionersPoster13 citations
  49. Distributionally Robust Recourse ActionPoster13 citations
  50. E-CRF: Embedded Conditional Random Field for Boundary-caused Class Weights Confusion in Semantic SegmentationPoster13 citations
  51. Ensuring DNN Solution Feasibility for Optimization Problems with Linear ConstraintsTop-25%13 citations
  52. Equal Improvability: A New Fairness Notion Considering the Long-term ImpactPoster13 citations
  53. Exploring Temporally Dynamic Data Augmentation for Video RecognitionTop-25%13 citations
  54. In-sample Actor Critic for Offline Reinforcement LearningPoster13 citations
  55. InPL: Pseudo-labeling the Inliers First for Imbalanced Semi-supervised LearningPoster13 citations
  56. Learning Adversarial Linear Mixture Markov Decision Processes with Bandit Feedback and Unknown TransitionPoster13 citations
  57. Memorization-Dilation: Modeling Neural Collapse Under NoisePoster13 citations
  58. Minimax Optimal Kernel Operator Learning via Multilevel TrainingTop-25%13 citations
  59. Momentum Stiefel Optimizer, with Applications to Suitably-Orthogonal Attention, and Optimal TransportPoster13 citations
  60. Near-Optimal Deployment Efficiency in Reward-Free Reinforcement Learning with Linear Function ApproximationPoster13 citations
  61. Neural Groundplans: Persistent Neural Scene Representations from a Single ImagePoster13 citations
  62. ODAM: Gradient-based Instance-Specific Visual Explanations for Object DetectionPoster13 citations
  63. Panning for Gold in Federated Learning: Targeted Text Extraction under Arbitrarily Large-Scale AggregationPoster13 citations
  64. Part-Based Models Improve Adversarial RobustnessPoster13 citations
  65. Progressively Compressed Auto-Encoder for Self-supervised Representation LearningPoster13 citations
  66. RGI: robust GAN-inversion for mask-free image inpainting and unsupervised pixel-wise anomaly detectionPoster13 citations
  67. Re-calibrating Feature Attributions for Model InterpretationTop-25%13 citations
  68. Relative Behavioral Attributes: Filling the Gap between Symbolic Goal Specification and Reward Learning from Human PreferencesPoster13 citations
  69. Restricted Strong Convexity of Deep Learning Models with Smooth ActivationsPoster13 citations
  70. Robust Active DistillationPoster13 citations
  71. SP2 : A Second Order Stochastic Polyak MethodPoster13 citations
  72. Squeeze Training for Adversarial RobustnessPoster13 citations
  73. Stay Moral and Explore: Learn to Behave Morally in Text-based GamesPoster13 citations
  74. TVSPrune - Pruning Non-discriminative filters via Total Variation separability of intermediate representations without fine tuningPoster13 citations
  75. Thalamus: a brain-inspired algorithm for biologically-plausible continual learning and disentangled representationsPoster13 citations
  76. This Looks Like It Rather Than That: ProtoKNN For Similarity-Based ClassifiersPoster13 citations
  77. Topology-aware Robust Optimization for Out-of-Distribution GeneralizationPoster13 citations
  78. Turning the Curse of Heterogeneity in Federated Learning into a Blessing for Out-of-Distribution DetectionTop-25%13 citations
  79. Understanding new tasks through the lens of training data via exponential tiltingPoster13 citations
  80. Understanding the Covariance Structure of Convolutional FiltersPoster13 citations
  81. Variance-Aware Sparse Linear BanditsPoster13 citations
  82. Versatile Neural Processes for Learning Implicit Neural RepresentationsPoster13 citations
  83. A Statistical Framework for Personalized Federated Learning and Estimation: Theory, Algorithms, and PrivacyPoster12 citations
  84. A Theory of Dynamic BenchmarksPoster12 citations
  85. Amortised Invariance Learning for Contrastive Self-SupervisionPoster12 citations
  86. Behavior Prior Representation learning for Offline Reinforcement LearningPoster12 citations
  87. Bitrate-Constrained DRO: Beyond Worst Case Robustness To Unknown Group ShiftsPoster12 citations
  88. Calibrating Transformers via Sparse Gaussian ProcessesPoster12 citations
  89. Composing Task Knowledge With Modular Successor Feature ApproximatorsPoster12 citations
  90. Contextual Convolutional NetworksPoster12 citations
  91. Continual Transformers: Redundancy-Free Attention for Online InferencePoster12 citations
  92. Continuous pseudo-labeling from the startPoster12 citations
  93. Cross-Level Distillation and Feature Denoising for Cross-Domain Few-Shot ClassificationPoster12 citations
  94. Decentralized Optimistic Hyperpolicy Mirror Descent: Provably No-Regret Learning in Markov GamesPoster12 citations
  95. EPISODE: Episodic Gradient Clipping with Periodic Resampled Corrections for Federated Learning with Heterogeneous DataPoster12 citations
  96. Efficient Federated Domain TranslationPoster12 citations
  97. FINDE: Neural Differential Equations for Finding and Preserving Invariant QuantitiesPoster12 citations
  98. Federated Nearest Neighbor Machine TranslationPoster12 citations
  99. GEASS: Neural causal feature selection for high-dimensional biological dataTop-25%12 citations
  100. Globally Optimal Training of Neural Networks with Threshold Activation FunctionsPoster12 citations
  101. GoBigger: A Scalable Platform for Cooperative-Competitive Multi-Agent Interactive SimulationPoster12 citations
  102. Grounding Graph Network Simulators using Physical Sensor ObservationsPoster12 citations
  103. ILA-DA: Improving Transferability of Intermediate Level Attack with Data AugmentationPoster12 citations
  104. Latent Variable Representation for Reinforcement LearningPoster12 citations
  105. Learning Iterative Neural Optimizers for Image SteganographyPoster12 citations
  106. Logical Entity Representation in Knowledge-Graphs for Differentiable Rule LearningPoster12 citations
  107. Modeling Multimodal Aleatoric Uncertainty in Segmentation with Mixture of Stochastic ExpertsPoster12 citations
  108. On the Convergence of AdaGrad(Norm) on $\mathbb{R}^d$: Beyond Convexity, Non-Asymptotic Rate and AccelerationPoster12 citations
  109. Plateau in Monotonic Linear Interpolation --- A "Biased" View of Loss Landscape for Deep NetworksPoster12 citations
  110. Proto-Value Networks: Scaling Representation Learning with Auxiliary TasksPoster12 citations
  111. Robust Algorithms on Adaptive Inputs from Bounded AdversariesPoster12 citations
  112. Robust and Controllable Object-Centric Learning through Energy-based ModelsPoster12 citations
  113. Scalable and Equivariant Spherical CNNs by Discrete-Continuous (DISCO) ConvolutionsPoster12 citations
  114. Semi-Implicit Variational Inference via Score MatchingTop-25%12 citations
  115. Sequential Latent Variable Models for Few-Shot High-Dimensional Time-Series ForecastingTop-25%12 citations
  116. Spatio-temporal point processes with deep non-stationary kernelsPoster12 citations
  117. Tier Balancing: Towards Dynamic Fairness over Underlying Causal FactorsPoster12 citations
  118. Understanding the Role of Nonlinearity in Training Dynamics of Contrastive LearningPoster12 citations
  119. Variational Information Pursuit for Interpretable PredictionsPoster12 citations
  120. Visual Imitation Learning with Patch RewardsPoster12 citations
  121. Adversarial Attacks on Adversarial BanditsTop-25%11 citations
  122. An Equal-Size Hard EM Algorithm for Diverse Dialogue GenerationPoster11 citations
  123. Bit-Pruning: A Sparse Multiplication-Less Dot-ProductPoster11 citations
  124. Calibrating the Rigged Lottery: Making All Tickets ReliablePoster11 citations
  125. Combating Exacerbated Heterogeneity for Robust Models in Federated LearningPoster11 citations
  126. Compositionality with Variation Reliably Emerges in Neural NetworksPoster11 citations
  127. Contrastive Alignment of Vision to Language Through Parameter-Efficient Transfer LearningPoster11 citations
  128. Domain Generalisation via Domain Adaptation: An Adversarial Fourier Amplitude ApproachPoster11 citations
  129. Equivariance-aware Architectural Optimization of Neural NetworksPoster11 citations
  130. Explaining RL Decisions with TrajectoriesPoster11 citations
  131. Feature Reconstruction From Outputs Can Mitigate Simplicity Bias in Neural NetworksPoster11 citations
  132. Fisher-Legendre (FishLeg) optimization of deep neural networksTop-25%11 citations
  133. FunkNN: Neural Interpolation for Functional GenerationPoster11 citations
  134. Human MotionFormer: Transferring Human Motions with Vision TransformersPoster11 citations
  135. Improved Sample Complexity for Reward-free Reinforcement Learning under Low-rank MDPsPoster11 citations
  136. Improving Deep Policy Gradients with Value Function SearchPoster11 citations
  137. Learning Heterogeneous Interaction Strengths by Trajectory Prediction with Graph Neural NetworkPoster11 citations
  138. Learning Sparse and Low-Rank Priors for Image Recovery via Iterative Reweighted Least Squares MinimizationPoster11 citations
  139. Localized Randomized Smoothing for Collective Robustness CertificationTop-25%11 citations
  140. MAST: Masked Augmentation Subspace Training for Generalizable Self-Supervised PriorsPoster11 citations
  141. Mosaic Representation Learning for Self-supervised Visual Pre-trainingTop-25%11 citations
  142. On the Usefulness of Embeddings, Clusters and Strings for Text Generation EvaluationTop-25%11 citations
  143. On the Word Boundaries of Emergent Languages Based on Harris's Articulation SchemePoster11 citations
  144. Quantized Compressed Sensing with Score-Based Generative ModelsPoster11 citations
  145. Replay Memory as An Empirical MDP: Combining Conservative Estimation with Experience ReplayPoster11 citations
  146. Revocable Deep Reinforcement Learning with Affinity Regularization for Outlier-Robust Graph MatchingPoster11 citations
  147. Self-Supervised Set Representation Learning for Unsupervised Meta-LearningPoster11 citations
  148. The Curious Case of Benign MemorizationPoster11 citations
  149. Towards Understanding GD with Hard and Conjugate Pseudo-labels for Test-Time AdaptationPoster11 citations
  150. A System for Morphology-Task Generalization via Unified Representation and Behavior DistillationTop-25%10 citations
  151. A VAE for Transformers with Nonparametric Variational Information BottleneckPoster10 citations
  152. A new characterization of the edge of stability based on a sharpness measure aware of batch gradient distributionPoster10 citations
  153. Achieving Sub-linear Regret in Infinite Horizon Average Reward Constrained MDP with Linear Function ApproximationPoster10 citations
  154. BAYES RISK CTC: CONTROLLABLE CTC ALIGNMENT IN SEQUENCE-TO-SEQUENCE TASKSPoster10 citations
  155. Can Agents Run Relay Race with Strangers? Generalization of RL to Out-of-Distribution TrajectoriesPoster10 citations
  156. CrAM: A Compression-Aware MinimizerPoster10 citations
  157. Curriculum-based Co-design of Morphology and Control of Voxel-based Soft RobotsPoster10 citations
  158. D4FT: A Deep Learning Approach to Kohn-Sham Density Functional TheoryTop-25%10 citations
  159. Depth Separation with Multilayer Mean-Field NetworksTop-25%10 citations
  160. Efficient Offline Policy Optimization with a Learned ModelPoster10 citations
  161. Excess Risk of Two-Layer ReLU Neural Networks in Teacher-Student Settings and its Superiority to Kernel MethodsPoster10 citations
  162. Fast and Precise: Adjusting Planning Horizon with Adaptive Subgoal SearchTop-5%10 citations
  163. Fuzzy Alignments in Directed Acyclic Graph for Non-Autoregressive Machine TranslationPoster10 citations
  164. Graph-based Deterministic Policy Gradient for Repetitive Combinatorial Optimization ProblemsPoster10 citations
  165. Heterogeneous Neuronal and Synaptic Dynamics for Spike-Efficient Unsupervised Learning: Theory and Design PrinciplesPoster10 citations
  166. HypeR: Multitask Hyper-Prompted Training Enables Large-Scale Retrieval GeneralizationPoster10 citations
  167. Implicit Regularization for Group SparsityPoster10 citations
  168. Interneurons accelerate learning dynamics in recurrent neural networks for statistical adaptationPoster10 citations
  169. Label Propagation with Weak SupervisionPoster10 citations
  170. Latent State Marginalization as a Low-cost Approach for Improving ExplorationPoster10 citations
  171. Learning to Jointly Share and Prune Weights for Grounding Based Vision and Language ModelsPoster10 citations
  172. Learning to Solve Constraint Satisfaction Problems with Recurrent TransformerPoster10 citations
  173. Malign Overfitting: Interpolation and Invariance are Fundamentally at OddsPoster10 citations
  174. MetaGL: Evaluation-Free Selection of Graph Learning Models via Meta-LearningPoster10 citations
  175. Neural Radiance Field CodebooksPoster10 citations
  176. Personalized Reward Learning with Interaction-Grounded Learning (IGL)Poster10 citations
  177. Progressive Mix-Up for Few-Shot Supervised Multi-Source Domain TransferPoster10 citations
  178. Q-Pensieve: Boosting Sample Efficiency of Multi-Objective RL Through Memory Sharing of Q-SnapshotsPoster10 citations
  179. Quantifying and Mitigating the Impact of Label Errors on Model Disparity MetricsPoster10 citations
  180. Quantile Risk Control: A Flexible Framework for Bounding the Probability of High-Loss PredictionsPoster10 citations
  181. Revisiting Populations in multi-agent CommunicationPoster10 citations
  182. SGDA with shuffling: faster convergence for nonconvex-PŁ minimax optimizationPoster10 citations
  183. SYNC: SAFETY-AWARE NEURAL CONTROL FOR STABILIZING STOCHASTIC DELAY-DIFFERENTIAL EQUATIONSPoster10 citations
  184. Seeing Differently, Acting Similarly: Heterogeneously Observable Imitation LearningTop-25%10 citations
  185. Self-Distillation for Further Pre-training of TransformersPoster10 citations
  186. Semi-Parametric Inducing Point Networks and Neural ProcessesPoster10 citations
  187. Stateful Active Facilitator: Coordination and Environmental Heterogeneity in Cooperative Multi-Agent Reinforcement LearningPoster10 citations
  188. Strong inductive biases provably prevent harmless interpolationPoster10 citations
  189. Subquadratic Algorithms for Kernel Matrices via Kernel Density EstimationTop-25%10 citations
  190. That Label's got Style: Handling Label Style Bias for Uncertain Image SegmentationPoster10 citations
  191. A Control-Centric Benchmark for Video PredictionPoster9 citations
  192. A probabilistic framework for task-aligned intra- and inter-area neural manifold estimationTop-25%9 citations
  193. Adaptive Optimization in the $\infty$-Width LimitPoster9 citations
  194. Agnostic Learning of General ReLU Activation Using Gradient DescentPoster9 citations
  195. Almost Linear Constant-Factor Sketching for $\ell_1$ and Logistic RegressionPoster9 citations
  196. AutoTransfer: AutoML with Knowledge Transfer - An Application to Graph Neural NetworksPoster9 citations
  197. Average Sensitivity of Decision Tree LearningPoster9 citations
  198. BC-IRL: Learning Generalizable Reward Functions from DemonstrationsTop-25%9 citations
  199. Can BERT Refrain from Forgetting on Sequential Tasks? A Probing StudyPoster9 citations
  200. Confidence Estimation Using Unlabeled DataPoster9 citations
  201. Coupled Multiwavelet Operator Learning for Coupled Differential EquationsPoster9 citations
  202. Critic Sequential Monte CarloPoster9 citations
  203. Direct Embedding of Temporal Network Edges via Time-Decayed Line GraphsPoster9 citations
  204. Discovering Informative and Robust Positives for Video Domain AdaptationPoster9 citations
  205. Energy-Inspired Self-Supervised Pretraining for Vision ModelsTop-25%9 citations
  206. Evolving Populations of Diverse RL Agents with MAP-ElitesPoster9 citations
  207. FIT: A Metric for Model SensitivityPoster9 citations
  208. Generalization and Estimation Error Bounds for Model-based Neural NetworksPoster9 citations
  209. Holistic Adversarially Robust PruningPoster9 citations
  210. How Does Semi-supervised Learning with Pseudo-labelers Work? A Case StudyPoster9 citations
  211. How gradient estimator variance and bias impact learning in neural networksPoster9 citations
  212. ISAAC Newton: Input-based Approximate Curvature for Newton's MethodPoster9 citations
  213. Improved Learning-augmented Algorithms for k-means and k-medians ClusteringPoster9 citations
  214. Incompatibility Clustering as a Defense Against Backdoor Poisoning AttacksPoster9 citations
  215. Learning Domain-Agnostic Representation for Disease DiagnosisPoster9 citations
  216. Learning Structured Representations by Embedding Class HierarchyPoster9 citations
  217. LiftedCL: Lifting Contrastive Learning for Human-Centric PerceptionPoster9 citations
  218. MA-BERT: Towards Matrix Arithmetic-only BERT Inference by Eliminating Complex Non-Linear FunctionsPoster9 citations
  219. Martingale Posterior Neural ProcessesTop-25%9 citations
  220. Massively Scaling Heteroscedastic ClassifiersPoster9 citations
  221. Min-Max Multi-objective Bilevel Optimization with Applications in Robust Machine LearningPoster9 citations
  222. Neural Design for Genetic Perturbation ExperimentsTop-25%9 citations
  223. On The Inadequacy of Optimizing Alignment and Uniformity in Contrastive Learning of Sentence RepresentationsPoster9 citations
  224. On the Performance of Temporal Difference Learning With Neural NetworksPoster9 citations
  225. Planning with Sequence Models through Iterative Energy MinimizationPoster9 citations
  226. Powderworld: A Platform for Understanding Generalization via Rich Task DistributionsTop-25%9 citations
  227. Predicting Cellular Responses with Variational Causal Inference and Refined Relational InformationPoster9 citations
  228. Provable Sim-to-real Transfer in Continuous Domain with Partial ObservationsPoster9 citations
  229. Quasi-optimal Reinforcement Learning with Continuous ActionsPoster9 citations
  230. Real-time variational method for learning neural trajectory and its dynamicsTop-25%9 citations
  231. Riemannian Metric Learning via Optimal TransportPoster9 citations
  232. SemPPL: Predicting Pseudo-Labels for Better Contrastive RepresentationsPoster9 citations
  233. Serving Graph Compression for Graph Neural NetworksTop-25%9 citations
  234. Solving Constrained Variational Inequalities via a First-order Interior Point-based MethodTop-25%9 citations
  235. Structure by Architecture: Structured Representations without RegularizationPoster9 citations
  236. The Augmented Image Prior: Distilling 1000 Classes by Extrapolating from a Single ImagePoster9 citations
  237. The Implicit Bias of Minima Stability in Multivariate Shallow ReLU NetworksPoster9 citations
  238. Towards Effective and Interpretable Human-Agent Collaboration in MOBA Games: A Communication PerspectiveTop-25%9 citations
  239. Understanding Neural Coding on Latent Manifolds by Sharing Features and Dividing EnsemblesPoster9 citations
  240. A Neural Mean Embedding Approach for Back-door and Front-door AdjustmentPoster8 citations
  241. A Simple Yet Powerful Deep Active Learning With Snapshots EnsemblesPoster8 citations
  242. Accelerating Hamiltonian Monte Carlo via Chebyshev Integration TimePoster8 citations
  243. Adaptive Robust Evidential Optimization For Open Set Detection from Imbalanced DataPoster8 citations
  244. An Exact Poly-Time Membership-Queries Algorithm for Extracting a Three-Layer ReLU NetworkPoster8 citations
  245. Approximate Vanishing Ideal Computations at ScalePoster8 citations
  246. ArCL: Enhancing Contrastive Learning with Augmentation-Robust RepresentationsPoster8 citations
  247. Asynchronous Gradient Play in Zero-Sum Multi-agent GamesPoster8 citations
  248. Automating Nearest Neighbor Search Configuration with Constrained OptimizationPoster8 citations
  249. Behind the Scenes of Gradient Descent: A Trajectory Analysis via Basis Function DecompositionPoster8 citations
  250. Benign Overfitting in Classification: Provably Counter Label Noise with Larger ModelsPoster8 citations
  251. Bort: Towards Explainable Neural Networks with Bounded Orthogonal ConstraintPoster8 citations
  252. Breaking Correlation Shift via Conditional Invariant RegularizerPoster8 citations
  253. Continual Unsupervised Disentangling of Self-Organizing RepresentationsTop-25%8 citations
  254. Continuized Acceleration for Quasar Convex Functions in Non-Convex OptimizationTop-25%8 citations
  255. DamoFD: Digging into Backbone Design on Face DetectionPoster8 citations
  256. Deep Generative Modeling on Limited Data with Regularization by Nontransferable Pre-trained ModelsPoster8 citations
  257. Differentially Private $L_2$-Heavy Hitters in the Sliding Window ModelTop-25%8 citations
  258. Empowering Networks With Scale and Rotation Equivariance Using A Similarity ConvolutionPoster8 citations
  259. Extracting Robust Models with Uncertain ExamplesPoster8 citations
  260. Graph Neural Network-Inspired Kernels for Gaussian Processes in Semi-Supervised LearningPoster8 citations
  261. Guiding Safe Exploration with Weakest PreconditionsPoster8 citations
  262. Human-Guided Fair Classification for Natural Language ProcessingTop-25%8 citations
  263. In-Situ Text-Only Adaptation of Speech Models with Low-Overhead Speech ImputationsPoster8 citations
  264. Interaction-Based Disentanglement of Entities for Object-Centric World ModelsPoster8 citations
  265. Learning Human-Compatible Representations for Case-Based Decision SupportPoster8 citations
  266. Learning without Prejudices: Continual Unbiased Learning via Benign and Malignant ForgettingPoster8 citations
  267. Minimalistic Unsupervised Representation Learning with the Sparse Manifold TransformTop-25%8 citations
  268. Near-optimal Policy Identification in Active Reinforcement LearningTop-5%8 citations
  269. Neural ePDOs: Spatially Adaptive Equivariant Partial Differential Operator Based NetworksTop-25%8 citations
  270. On Accelerated Perceptrons and BeyondPoster8 citations
  271. On the Data-Efficiency with Contrastive Image Transformation in Reinforcement LearningPoster8 citations
  272. QAID: Question Answering Inspired Few-shot Intent DetectionPoster8 citations
  273. Robust Graph Dictionary LearningPoster8 citations
  274. Sparse Token Transformer with Attention Back TrackingPoster8 citations
  275. Subsampling in Large Graphs Using Ricci CurvaturePoster8 citations
  276. Text Summarization with Oracle ExpectationPoster8 citations
  277. TiAda: A Time-scale Adaptive Algorithm for Nonconvex Minimax OptimizationPoster8 citations
  278. Video Scene Graph Generation from Single-Frame Weak SupervisionPoster8 citations
  279. Wasserstein Auto-encoded MDPs: Formal Verification of Efficiently Distilled RL Policies with Many-sided GuaranteesPoster8 citations
  280. What Is Missing in IRM Training and Evaluation? Challenges and SolutionsPoster8 citations
  281. A view of mini-batch SGD via generating functions: conditions of convergence, phase transitions, benefit from negative momenta.Poster7 citations
  282. AGRO: Adversarial discovery of error-prone Groups for Robust OptimizationPoster7 citations
  283. An Additive Instance-Wise Approach to Multi-class Model InterpretationPoster7 citations
  284. Anisotropic Message Passing: Graph Neural Networks with Directional and Long-Range InteractionsPoster7 citations
  285. Approximation and non-parametric estimation of functions over high-dimensional spheres via deep ReLU networksPoster7 citations
  286. Block and Subword-Scaling Floating-Point (BSFP) : An Efficient Non-Uniform Quantization For Low Precision InferencePoster7 citations
  287. Can We Find Nash Equilibria at a Linear Rate in Markov Games?Top-25%7 citations
  288. Can discrete information extraction prompts generalize across language models?Poster7 citations
  289. Cheap Talk Discovery and Utilization in Multi-Agent Reinforcement LearningPoster7 citations
  290. CircNet: Meshing 3D Point Clouds with Circumcenter DetectionPoster7 citations
  291. CodeBPE: Investigating Subtokenization Options for Large Language Model Pretraining on Source CodePoster7 citations
  292. Contrastive Meta-Learning for Partially Observable Few-Shot LearningPoster7 citations
  293. Cycle-consistent Masked AutoEncoder for Unsupervised Domain GeneralizationPoster7 citations
  294. Deep Variational Implicit ProcessesPoster7 citations
  295. Differentiable Mathematical Programming for Object-Centric Representation LearningPoster7 citations
  296. DropIT: Dropping Intermediate Tensors for Memory-Efficient DNN TrainingPoster7 citations
  297. ESD: Expected Squared Difference as a Tuning-Free Trainable Calibration MeasurePoster7 citations
  298. Enhancing Meta Learning via Multi-Objective Soft Improvement FunctionsPoster7 citations
  299. Expressive Monotonic Neural NetworksPoster7 citations
  300. Few-Shot Domain Adaptation For End-to-End CommunicationTop-25%7 citations
  301. Greedy Actor-Critic: A New Conditional Cross-Entropy Method for Policy ImprovementPoster7 citations
  302. Images as Weight Matrices: Sequential Image Generation Through Synaptic Learning RulesPoster7 citations
  303. Improving the imputation of missing data with Markov Blanket discoveryPoster7 citations
  304. Interpretable Debiasing of Vectorized Language Representations with Iterative OrthogonalizationPoster7 citations
  305. Learning Group Importance using the Differentiable Hypergeometric DistributionTop-25%7 citations
  306. Learning Kernelized Contextual Bandits in a Distributed and Asynchronous EnvironmentPoster7 citations
  307. MACTA: A Multi-agent Reinforcement Learning Approach for Cache Timing Attacks and DetectionPoster7 citations
  308. MARS: Meta-learning as Score Matching in the Function SpaceTop-25%7 citations
  309. Making Better Decision by Directly Planning in Continuous ControlPoster7 citations
  310. Max-Margin Works while Large Margin Fails: Generalization without Uniform ConvergencePoster7 citations
  311. Measure the Predictive HeterogeneityPoster7 citations
  312. Multi-objective optimization via equivariant deep hypervolume approximationPoster7 citations
  313. Multiple sequence alignment as a sequence-to-sequence learning problemPoster7 citations
  314. Neural-based classification rule learning for sequential dataPoster7 citations
  315. Pitfalls of Gaussians as a noise distribution in NCEPoster7 citations
  316. Provable Robustness against Wasserstein Distribution Shifts via Input RandomizationPoster7 citations
  317. Provably Auditing Ordinary Least Squares in Low DimensionsPoster7 citations
  318. Rethinking Self-Supervised Visual Representation Learning in Pre-training for 3D Human Pose and Shape EstimationPoster7 citations
  319. Rethinking Symbolic Regression: Morphology and Adaptability in the Context of Evolutionary AlgorithmsPoster7 citations
  320. Scaling up and Stabilizing Differentiable Planning with Implicit DifferentiationPoster7 citations
  321. Sequential Learning of Neural Networks for Prequential MDLPoster7 citations
  322. Simple Emergent Action Representations from Multi-Task Policy TrainingPoster7 citations
  323. Taking a Step Back with KCal: Multi-Class Kernel-Based Calibration for Deep Neural NetworksPoster7 citations
  324. Timing is Everything: Learning to Act Selectively with Costly Actions and Budgetary ConstraintsPoster7 citations
  325. Toward Adversarial Training on Contextualized Language RepresentationPoster7 citations
  326. Towards Minimax Optimal Reward-free Reinforcement Learning in Linear MDPsPoster7 citations
  327. Towards convergence to Nash equilibria in two-team zero-sum gamesPoster7 citations
  328. Trading Information between Latents in Hierarchical Variational AutoencodersPoster7 citations
  329. Unbiased Stochastic Proximal Solver for Graph Neural Networks with Equilibrium StatesPoster7 citations
  330. Unsupervised Manifold Alignment with Joint Multidimensional ScalingPoster7 citations
  331. Value Memory Graph: A Graph-Structured World Model for Offline Reinforcement LearningPoster7 citations
  332. Weighted Clock Logic Point ProcessPoster7 citations
  333. A Higher Precision Algorithm for Computing the $1$-Wasserstein DistanceTop-25%6 citations
  334. A Minimalist Dataset for Systematic Generalization of Perception, Syntax, and SemanticsTop-25%6 citations
  335. Associative Memory Augmented Asynchronous Spatiotemporal Representation Learning for Event-based PerceptionTop-25%6 citations
  336. BALTO: fast tensor program optimization with diversity-based active learningPoster6 citations
  337. D4AM: A General Denoising Framework for Downstream Acoustic ModelsPoster6 citations
  338. Decompose to Generalize: Species-Generalized Animal Pose EstimationPoster6 citations
  339. Deep Ensembles for Graphs with Higher-order DependenciesPoster6 citations
  340. Efficient Discrete Multi Marginal Optimal Transport RegularizationTop-25%6 citations
  341. Enhancing the Inductive Biases of Graph Neural ODE for Modeling Physical SystemsPoster6 citations
  342. FastFill: Efficient Compatible Model UpdatePoster6 citations
  343. GAIN: On the Generalization of Instructional Action UnderstandingPoster6 citations
  344. Hard-Meta-Dataset++: Towards Understanding Few-Shot Performance on Difficult TasksPoster6 citations
  345. Hierarchical Abstraction for Combinatorial Generalization in Object RearrangementPoster6 citations
  346. How I Learned to Stop Worrying and Love RetrainingPoster6 citations
  347. Hyperparameter Optimization through Neural Network PartitioningPoster6 citations
  348. Learning in temporally structured environmentsPoster6 citations
  349. Limitless Stability for Graph Convolutional NetworksPoster6 citations
  350. Matching receptor to odorant with protein language and graph neural networksPoster6 citations
  351. Memorization Capacity of Neural Networks with Conditional ComputationPoster6 citations
  352. Minimum Variance Unbiased N:M Sparsity for the Neural GradientsTop-25%6 citations
  353. Neural Bregman Divergences for Distance LearningPoster6 citations
  354. On the complexity of nonsmooth automatic differentiationTop-25%6 citations
  355. Partial Label Unsupervised Domain Adaptation with Class-Prototype AlignmentPoster6 citations
  356. Phase2vec: dynamical systems embedding with a physics-informed convolutional networkTop-25%6 citations
  357. Population-size-Aware Policy Optimization for Mean-Field GamesPoster6 citations
  358. Predictor-corrector algorithms for stochastic optimization under gradual distribution shiftPoster6 citations
  359. Safe Exploration Incurs Nearly No Additional Sample Complexity for Reward-Free RLPoster6 citations
  360. Scaffolding a Student to Instill KnowledgePoster6 citations
  361. Scalable Subset Sampling with Neural Conditional Poisson NetworksPoster6 citations
  362. Schema Inference for Interpretable Image ClassificationPoster6 citations
  363. Self-supervised learning with rotation-invariant kernelsTop-25%6 citations
  364. Statistical Theory of Differentially Private Marginal-based Data Synthesis AlgorithmsPoster6 citations
  365. Synthetic Data Generation of Many-to-Many Datasets via Random Graph GenerationPoster6 citations
  366. TextShield: Beyond Successfully Detecting Adversarial Sentences in text classificationPoster6 citations
  367. Treeformer: Dense Gradient Trees for Efficient Attention ComputationPoster6 citations
  368. Tuning Frequency Bias in Neural Network Training with Nonuniform DataPoster6 citations
  369. VIPeR: Provably Efficient Algorithm for Offline RL with Neural Function ApproximationTop-25%6 citations
  370. Winning Both the Accuracy of Floating Point Activation and the Simplicity of Integer ArithmeticPoster6 citations
  371. wav2tok: Deep Sequence Tokenizer for Audio RetrievalPoster6 citations
  372. A General Rank Preserving Framework for Asymmetric Image RetrievalPoster5 citations
  373. Analogy-Forming Transformers for Few-Shot 3D ParsingPoster5 citations
  374. Analyzing Tree Architectures in Ensembles via Neural Tangent KernelPoster5 citations
  375. Artificial Neuronal Ensembles with Learned Context Dependent GatingPoster5 citations
  376. Augmentation Component Analysis: Modeling Similarity via the Augmentation OverlapsPoster5 citations
  377. Augmentation with Projection: Towards an Effective and Efficient Data Augmentation Paradigm for DistillationPoster5 citations
  378. Bag of Tricks for Unsupervised Text-to-SpeechPoster5 citations
  379. Bayesian Oracle for bounding information gain in neural encoding modelsPoster5 citations
  380. Calibration Matters: Tackling Maximization Bias in Large-scale Advertising Recommendation SystemsPoster5 citations
  381. Characteristic Neural Ordinary Differential EquationPoster5 citations
  382. Deep Ranking Ensembles for Hyperparameter OptimizationPoster5 citations
  383. Diminishing Return of Value Expansion Methods in Model-Based Reinforcement LearningPoster5 citations
  384. Domain Generalization via Heckman-type Selection ModelsTop-25%5 citations
  385. DynaMS: Dyanmic Margin Selection for Efficient Deep LearningPoster5 citations
  386. Efficient Certified Training and Robustness Verification of Neural ODEsPoster5 citations
  387. Exploring perceptual straightness in learned visual representationsPoster5 citations
  388. Fast Nonlinear Vector Quantile RegressionPoster5 citations
  389. Faster Gradient-Free Methods for Escaping Saddle PointsTop-25%5 citations
  390. Filter-Recovery Network for Multi-Speaker Audio-Visual Speech SeparationPoster5 citations
  391. Function-space regularized Rényi divergencesPoster5 citations
  392. Generalized Precision Matrix for Scalable Estimation of Nonparametric Markov NetworksPoster5 citations
  393. Generative Modeling Helps Weak Supervision (and Vice Versa)Poster5 citations
  394. Graph Signal Sampling for Inductive One-Bit Matrix Completion: a Closed-form SolutionPoster5 citations
  395. Improving Differentiable Neural Architecture Search by Encouraging TransferabilityPoster5 citations
  396. Interpretability with full complexity by constraining feature informationPoster5 citations
  397. Learning Low Dimensional State Spaces with Overparameterized Recurrent Neural NetsPoster5 citations
  398. Learning to Estimate Single-View Volumetric Flow Motions without 3D SupervisionPoster5 citations
  399. Light Sampling Field and BRDF Representation for Physically-based Neural RenderingPoster5 citations
  400. M-L2O: Towards Generalizable Learning-to-Optimize by Test-Time Fast Self-AdaptationPoster5 citations
  401. MCAL: Minimum Cost Human-Machine Active LabelingPoster5 citations
  402. Meta-prediction Model for Distillation-Aware NAS on Unseen DatasetsTop-25%5 citations
  403. Modeling Sequential Sentence Relation to Improve Cross-lingual Dense RetrievalPoster5 citations
  404. Neural Agents Struggle to Take Turns in Bidirectional Emergent CommunicationPoster5 citations
  405. Neuromechanical Autoencoders: Learning to Couple Elastic and Neural Network NonlinearityTop-25%5 citations
  406. On Achieving Optimal Adversarial Test ErrorPoster5 citations
  407. Policy-Based Self-Competition for Planning ProblemsPoster5 citations
  408. QuAnt: Quantum Annealing with Learnt CouplingsTop-25%5 citations
  409. Sharper Bounds for Uniformly Stable Algorithms with Stationary Mixing ProcessPoster5 citations
  410. Sound Randomized Smoothing in Floating-Point ArithmeticPoster5 citations
  411. SpeedyZero: Mastering Atari with Limited Data and TimePoster5 citations
  412. The Surprising Computational Power of Nondeterministic Stack RNNsPoster5 citations
  413. Theoretical Characterization of the Generalization Performance of Overfitted Meta-LearningPoster5 citations
  414. Variational Latent Branching Model for Off-Policy EvaluationPoster5 citations
  415. 3D Segmenter: 3D Transformer based Semantic Segmentation via 2D Panoramic DistillationPoster4 citations
  416. A Differential Geometric View and Explainability of GNN on Evolving GraphsPoster4 citations
  417. A Multi-Grained Self-Interpretable Symbolic-Neural Model For Single/Multi-Labeled Text ClassificationPoster4 citations
  418. A Simple Approach for Visual Room Rearrangement: 3D Mapping and Semantic SearchPoster4 citations
  419. Accurate Bayesian Meta-Learning by Accurate Task Posterior InferencePoster4 citations
  420. Any-scale Balanced Samplers for Discrete SpacePoster4 citations
  421. AnyDA: Anytime Domain AdaptationPoster4 citations
  422. Approximate Bayesian Inference with Stein Functional Variational Gradient DescentPoster4 citations
  423. Boosting Adversarial Transferability using Dynamic CuesPoster4 citations
  424. Compositional Law Parsing with Latent Random FunctionsPoster4 citations
  425. Constructive TT-representation of the tensors given as index interaction functions with applicationsPoster4 citations
  426. Contextual bandits with concave rewards, and an application to fair rankingPoster4 citations
  427. DFlow: Learning to Synthesize Better Optical Flow Datasets via a Differentiable PipelinePoster4 citations
  428. Data Continuity Matters: Improving Sequence Modeling with Lipschitz RegularizerTop-25%4 citations
  429. Deep Declarative Dynamic Time Warping for End-to-End Learning of Alignment PathsPoster4 citations
  430. Deterministic training of generative autoencoders using invertible layersTop-25%4 citations
  431. Does Deep Learning Learn to Abstract? A Systematic Probing FrameworkPoster4 citations
  432. FaiREE: fair classification with finite-sample and distribution-free guaranteePoster4 citations
  433. Fooling SHAP with Stealthily Biased SamplingPoster4 citations
  434. Fundamental limits on the robustness of image classifiersPoster4 citations
  435. Gradient-Guided Importance Sampling for Learning Binary Energy-Based ModelsPoster4 citations
  436. Gray-Box Gaussian Processes for Automated Reinforcement LearningPoster4 citations
  437. Hebbian and Gradient-based Plasticity Enables Robust Memory and Rapid Learning in RNNsPoster4 citations
  438. Learning Achievement Structure for Structured Exploration in Domains with Sparse RewardPoster4 citations
  439. Learning Continuous Normalizing Flows For Faster Convergence To Target Distribution via Ascent RegularizationsPoster4 citations
  440. Meta-Evolve: Continuous Robot Evolution for One-to-many Policy TransferPoster4 citations
  441. Mind the Pool: Convolutional Neural Networks Can Overfit Input SizePoster4 citations
  442. Neural Implicit Shape Editing using Boundary SensitivityPoster4 citations
  443. Optimistic Exploration with Learned Features Provably Solves Markov Decision Processes with Neural DynamicsPoster4 citations
  444. Priors, Hierarchy, and Information Asymmetry for Skill Transfer in Reinforcement LearningPoster4 citations
  445. Red PANDA: Disambiguating Image Anomaly Detection by Removing Nuisance FactorsPoster4 citations
  446. Represent to Control Partially Observed Systems: Representation Learning with Provable Sample EfficiencyPoster4 citations
  447. SCoMoE: Efficient Mixtures of Experts with Structured CommunicationPoster4 citations
  448. Scale-invariant Bayesian Neural Networks with Connectivity Tangent KernelTop-25%4 citations
  449. Sparse tree-based Initialization for Neural NetworksPoster4 citations
  450. Statistical Inference for Fisher Market EquilibriumPoster4 citations
  451. Tensor-Based Sketching Method for the Low-Rank Approximation of Data Streams.Poster4 citations
  452. The Dark Side of AutoML: Towards Architectural Backdoor SearchPoster4 citations
  453. Understanding The Robustness of Self-supervised Learning Through Topic ModelingPoster4 citations
  454. Understanding Train-Validation Split in Meta-Learning with Neural NetworksPoster4 citations
  455. When to Make and Break Commitments?Poster4 citations
  456. Brain-like representational straightening of natural movies in robust feedforward neural networksPoster3 citations
  457. Can Neural Networks Learn Implicit Logic from Physical Reasoning?Poster3 citations
  458. Combinatorial-Probabilistic Trade-Off: P-Values of Community Properties Test in the Stochastic Block ModelsTop-25%3 citations
  459. Disentangling Learning Representations with Density EstimationPoster3 citations
  460. Don’t forget the nullspace! Nullspace occupancy as a mechanism for out of distribution failurePoster3 citations
  461. Dynamic Update-to-Data Ratio: Minimizing World Model OverfittingPoster3 citations
  462. Effective Self-supervised Pre-training on Low-compute Networks without DistillationPoster3 citations
  463. Everybody Needs Good Neighbours: An Unsupervised Locality-based Method for Bias MitigationPoster3 citations
  464. Exponential Generalization Bounds with Near-Optimal Rates for $L_q$-Stable AlgorithmsPoster3 citations
  465. Finding the Global Semantic Representation in GAN through Fréchet MeanPoster3 citations
  466. GRACE-C: Generalized Rate Agnostic Causal Estimation via ConstraintsTop-25%3 citations
  467. Gradient Boosting Performs Gaussian Process InferencePoster3 citations
  468. How Informative is the Approximation Error from Tensor Decomposition for Neural Network Compression?Poster3 citations
  469. Interpretations of Domain Adaptations via Layer Variational AnalysisPoster3 citations
  470. KnowDA: All-in-One Knowledge Mixture Model for Data Augmentation in Low-Resource NLPPoster3 citations
  471. Learning Locality and Isotropy in Dialogue ModelingPoster3 citations
  472. Learning with Stochastic OrdersTop-25%3 citations
  473. Leveraging Importance Weights in Subset SelectionPoster3 citations
  474. Leveraging Unlabeled Data to Track MemorizationPoster3 citations
  475. Mid-Vision FeedbackPoster3 citations
  476. Minimum Description Length ControlPoster3 citations
  477. Multi-Objective Online LearningTop-25%3 citations
  478. Near-Optimal Adversarial Reinforcement Learning with Switching CostsTop-25%3 citations
  479. Neural DAG Scheduling via One-Shot Priority SamplingPoster3 citations
  480. On Explaining Neural Network Robustness with Activation PathPoster3 citations
  481. Optimal Activation Functions for the Random Features Regression ModelPoster3 citations
  482. Performance Bounds for Model and Policy Transfer in Hidden-parameter MDPsPoster3 citations
  483. Phase transition for detecting a small community in a large networkPoster3 citations
  484. Proposal-Contrastive Pretraining for Object Detection from Fewer DataTop-25%3 citations
  485. Provably Efficient Lifelong Reinforcement Learning with Linear RepresentationPoster3 citations
  486. Representation Learning for Low-rank General-sum Markov GamesPoster3 citations
  487. Scalable Batch-Mode Deep Bayesian Active Learning via Equivalence Class AnnealingPoster3 citations
  488. Semi-supervised Community Detection via Structural Similarity MetricsPoster3 citations
  489. StyleMorph: Disentangled 3D-Aware Image Synthesis with a 3D Morphable StyleGANPoster3 citations
  490. Unveiling the sampling density in non-uniform geometric graphsPoster3 citations
  491. Weakly Supervised Knowledge Transfer with Probabilistic Logical Reasoning for Object DetectionPoster3 citations
  492. Anamnesic Neural Differential Equations with Orthogonal Polynomial ProjectionsPoster2 citations
  493. Backstepping Temporal Difference LearningPoster2 citations
  494. Composite Slice Transformer: An Efficient Transformer with Composition of Multi-Scale Multi-Range AttentionsPoster2 citations
  495. Differentiable Gaussianization Layers for Inverse Problems Regularized by Deep Generative ModelsPoster2 citations
  496. Disentangling the Mechanisms Behind Implicit Regularization in SGDPoster2 citations
  497. Distributed Extra-gradient with Optimal Complexity and Communication GuaranteesPoster2 citations
  498. Distributional Meta-Gradient Reinforcement LearningPoster2 citations
  499. Humanly Certifying Superhuman ClassifiersTop-25%2 citations
  500. Improving Out-of-distribution Generalization with Indirection RepresentationsPoster2 citations
  501. Information Plane Analysis for Dropout Neural NetworksPoster2 citations
  502. Learning Label Encodings for Deep RegressionTop-25%2 citations
  503. Learning Proximal Operators to Discover Multiple OptimaPoster2 citations
  504. Learning Uncertainty for Unknown Domains with Zero-Target-AssumptionPoster2 citations
  505. Learning to Generate Columns with Application to Vertex ColoringPoster2 citations
  506. Markup-to-Image Diffusion Models with Scheduled SamplingPoster2 citations
  507. MaskFusion: Feature Augmentation for Click-Through Rate Prediction via Input-adaptive Mask FusionPoster2 citations
  508. Moving Forward by Moving Backward: Embedding Action Impact over Action SemanticsTop-5%2 citations
  509. Noise Injection Node Regularization for Robust LearningPoster2 citations
  510. Over-parameterized Model Optimization with Polyak-{\L}ojasiewicz ConditionPoster2 citations
  511. Pushing the Accuracy-Group Robustness Frontier with Introspective Self-playPoster2 citations
  512. RPM: Generalizable Multi-Agent Policies for Multi-Agent Reinforcement LearningPoster2 citations
  513. Short-Term Memory ConvolutionsPoster2 citations
  514. Statistical Guarantees for Consensus ClusteringPoster2 citations
  515. Teacher Guided Training: An Efficient Framework for Knowledge TransferPoster2 citations
  516. Towards Inferential Reproducibility of Machine Learning ResearchPoster2 citations
  517. Unsupervised 3D Object Learning through Neuron Activity aware PlasticityPoster2 citations
  518. A Non-monotonic Self-terminating Language ModelPoster1 citations
  519. Auto-Encoding Goodness of FitPoster1 citations
  520. Constraining Representations Yields Models That Know What They Don't KnowPoster1 citations
  521. Correlative Information Maximization Based Biologically Plausible Neural Networks for Correlated Source SeparationPoster1 citations
  522. DySR: Adaptive Super-Resolution via Algorithm and System Co-designPoster1 citations
  523. EA-HAS-Bench: Energy-aware Hyperparameter and Architecture Search BenchmarkTop-25%1 citations
  524. Evaluating Representations with Readout Model SwitchingPoster1 citations
  525. HiT-MDP: Learning the SMDP option framework on MDPs with Hidden Temporal EmbeddingsPoster1 citations
  526. Learning Input-agnostic Manipulation Directions in StyleGAN with Text GuidancePoster1 citations
  527. Learning Language Representations with Logical Inductive BiasPoster1 citations
  528. Learning Rationalizable Equilibria in Multiplayer GamesPoster1 citations
  529. Learning Simultaneous Navigation and Construction in Grid WorldsPoster1 citations
  530. Learning with Auxiliary Activation for Memory-Efficient TrainingPoster1 citations
  531. Long-Tailed Learning Requires Feature LearningPoster1 citations
  532. Monocular Scene Reconstruction with 3D SDF TransformersPoster1 citations
  533. NERDS: A General Framework to Train Camera Denoisers from Raw-RGB Noisy Image PairsPoster1 citations
  534. Offline Congestion Games: How Feedback Type Affects Data Coverage RequirementPoster1 citations
  535. On Compositional Uncertainty Quantification for Seq2seq Graph ParsingPoster1 citations
  536. On The Relative Error of Random Fourier Features for Preserving Kernel DistancePoster1 citations
  537. Optimizing Spca-based Continual Learning: A Theoretical ApproachPoster1 citations
  538. Pseudo-label Training and Model Inertia in Neural Machine TranslationPoster1 citations
  539. Reparameterization through Spatial Gradient ScalingPoster1 citations
  540. Rethinking skip connection model as a learnable Markov chainPoster1 citations
  541. Revisiting the Entropy Semiring for Neural Speech RecognitionPoster1 citations
  542. Robustness to corruption in pre-trained Bayesian neural networksPoster1 citations
  543. Semi-supervised learning with a principled likelihood from a generative model of data curationPoster1 citations
  544. Sequential Gradient Coding For Straggler MitigationPoster1 citations
  545. Simple initialization and parametrization of sinusoidal networks via their kernel bandwidthPoster1 citations
  546. Spacetime Representation LearningPoster1 citations
  547. Towards Lightweight, Model-Agnostic and Diversity-Aware Active Anomaly DetectionPoster1 citations
  548. Understanding and Adopting Rational Behavior by Bellman Score EstimationTop-25%1 citations
  549. Understanding weight-magnitude hyperparameters in training binary networksPoster1 citations
  550. $\mathcal{O}$-GNN: incorporating ring priors into molecular modelingPoster
  551. An Extensible Multi-modal Multi-task Object Dataset with MaterialsPoster
  552. Approximate Nearest Neighbor Search through Modern Error-Correcting CodesPoster
  553. Arbitrary Virtual Try-on Network: Characteristics Representation and Trade-off between Body and ClothingPoster
  554. Boosting Causal Discovery via Adaptive Sample ReweightingPoster
  555. CASR: Generating Complex Sequences with Autoregressive Self-Boost RefinementPoster
  556. DASHA: Distributed Nonconvex Optimization with Communication Compression and Optimal Oracle ComplexityTop-25%
  557. Efficient approximation of neural population structure and correlations with probabilistic circuitsPoster
  558. Finding Actual Descent Directions for Adversarial TrainingPoster
  559. Inequality phenomenon in $l_{\infty}$-adversarial training, and its unrealized threatsTop-25%
  560. Learned Index with Dynamic $\epsilon$Poster
  561. Learning Sparse Group Models Through Boolean RelaxationTop-25%
  562. LogicDP: Creating Labels for Graph Data via Inductive Logic ProgrammingPoster
  563. Mini-batch $k$-means terminates within $O(d/\epsilon)$ iterationsPoster
  564. OPTQ: Accurate Quantization for Generative Pre-trained TransformersPoster
  565. On Representing Mixed-Integer Linear Programs by Graph Neural NetworksPoster
  566. On the Perils of Cascading Robust ClassifiersPoster
  567. Parametrizing Product Shape Manifolds by Composite NetworksTop-25%
  568. Projective Proximal Gradient Descent for Nonconvex Nonsmooth Optimization: Fast Convergence Without Kurdyka-Lojasiewicz (KL) PropertyPoster
  569. Real-Time Image Demoir$\acute{e}$ing on Mobile DevicesPoster
  570. Scenario-based Question Answering with Interacting Contextual PropertiesPoster
  571. Stochastic No-regret Learning for General Games with Variance ReductionPoster
  572. The Symmetric Generalized Eigenvalue Problem as a Nash EquilibriumTop-25%
  573. Truncated Diffusion Probabilistic Models and Diffusion-based Adversarial Auto-EncodersPoster
  574. Truthful Self-PlayPoster
  575. Volumetric Optimal Transportation by Fast Fourier TransformPoster

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