Theory

Grounding the Lexical Substitution Task in Entailment ACL 2023 Hardness of Agnostically Learning Halfspaces from Worst-Case Lattice Problems COLT 2023 Hidden Symmetries of ReLU Networks ICML 2023 Hierarchical Kernels in Deep Kernel Learning JMLR 2023 Hi-ToM: A Benchmark for Evaluating Higher-Order Theory of Mind Reasoning in Large Language Models EMNLP 2023 HOUDINI: Escaping from Moderately Constrained Saddles IJCAI 2023 How Jellyfish Characterise Alternating Group Equivariant Neural Networks ICML 2023 How Much Consistency Is Your Accuracy Worth? EMNLP 2023 How Powerful are Shallow Neural Networks with Bandlimited Random Weights? ICML 2023 How to Construct Perfect and Worse-than-Coin-Flip Spoofing Countermeasures: A Word of Warning on Shortcut Learning Interspeech 2023 Humanly Certifying Superhuman Classifiers ICLR 2023 Hyperdimensional Feature Fusion for Out-of-Distribution Detection WACV 2023 Hypothesis Selection with Memory Constraints NeurIPS 2023 Hypothesis Transfer Learning with Surrogate Classification Losses: Generalization Bounds through Algorithmic Stability ICML 2023 Identifiability and Generalizability in Constrained Inverse Reinforcement Learning ICML 2023 Identifiability Guarantees for Causal Disentanglement from Soft Interventions NeurIPS 2023 Identifiability of Label Noise Transition Matrix ICML 2023 ImageNet-E: Benchmarking Neural Network Robustness via Attribute Editing CVPR 2023 Image to Sphere: Learning Equivariant Features for Efficient Pose Prediction ICLR 2023 Implications of Annotation Artifacts in Edge Probing Test Datasets CoNLL 2023 Implications of sparsity and high triangle density for graph representation learning AISTATS 2023 Implicit Bias of Gradient Descent for Two-layer ReLU and Leaky ReLU Networks on Nearly-orthogonal Data NeurIPS 2023 Implicit Bias of (Stochastic) Gradient Descent for Rank-1 Linear Neural Network NeurIPS 2023 Implicit Regularization for Group Sparsity ICLR 2023 Implicit Regularization Leads to Benign Overfitting for Sparse Linear Regression ICML 2023