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Theory

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Papers

Efficiently Learning the Topology and Behavior of a Networked Dynamical System Via Active Queries ICML 2022 EHR Safari: Data is Contextual MLHC 2022 Eigenspace Restructuring: A Principle of Space and Frequency in Neural Networks COLT 2022 Embedded Ensembles: infinite width limit and operating regimes AISTATS 2022 Empirical Phase Diagram for Three-layer Neural Networks with Infinite Width NeurIPS 2022 Enabling Equivariance for Arbitrary Lie Groups CVPR 2022 End-to-end Algorithm Synthesis with Recurrent Networks: Extrapolation without Overthinking NeurIPS 2022 Entailment Graph Learning with Textual Entailment and Soft Transitivity ACL 2022 Entropic Gromov-Wasserstein between Gaussian Distributions ICML 2022 Entropy-Based Logic Explanations of Neural Networks AAAI 2022 Entrywise Recovery Guarantees for Sparse PCA via Sparsistent Algorithms AISTATS 2022 Equivariant Graph Mechanics Networks with Constraints ICLR 2022 Equivariant Subgraph Aggregation Networks ICLR 2022 ER-Test: Evaluating Explanation Regularization Methods for Language Models EMNLP 2022 Estimation and Comparison of Linear Regions for ReLU Networks IJCAI 2022 Ethics and Governance of Artificial Intelligence: A Survey of Machine Learning Researchers (Extended Abstract) IJCAI 2022 Evaluating Explanations of Relational Graph Convolutional Network Link Predictions on Knowledge Graphs AAAI 2022 Evaluating Robustness to Dataset Shift via Parametric Robustness Sets NeurIPS 2022 Evaluating the Adversarial Robustness of Adaptive Test-time Defenses ICML 2022 EvenNet: Ignoring Odd-Hop Neighbors Improves Robustness of Graph Neural Networks NeurIPS 2022 Evolution of Neural Tangent Kernels under Benign and Adversarial Training NeurIPS 2022 Exact learning dynamics of deep linear networks with prior knowledge NeurIPS 2022 Exact Paired-Permutation Testing for Structured Test Statistics NAACL 2022 Exact Solutions of a Deep Linear Network NeurIPS 2022 Experimental Standards for Deep Learning in Natural Language Processing Research EMNLP 2022