Theory

ExplainaBoard: An Explainable Leaderboard for NLP ACL 2021 Explaining Contextualization in Language Models using Visual Analytics ACL 2021 Explaining Deep Neural Network Models with Adversarial Gradient Integration IJCAI 2021 Explaining Explanations: Axiomatic Feature Interactions for Deep Networks JMLR 2021 Explaining Latent Representations with a Corpus of Examples NeurIPS 2021 Explicit loss asymptotics in the gradient descent training of neural networks NeurIPS 2021 Exploiting Chain Rule and Bayes' Theorem to Compare Probability Distributions NeurIPS 2021 Exploration-Exploitation in Multi-Agent Learning: Catastrophe Theory Meets Game Theory AAAI 2021 Exploring the Uncertainty Properties of Neural Networks’ Implicit Priors in the Infinite-Width Limit ICLR 2021 Exponential Lower Bounds for Planning in MDPs With Linearly-Realizable Optimal Action-Value Functions ALT 2021 Exponentially Many Local Minima in Quantum Neural Networks ICML 2021 Exposing Cyber-Physical System Weaknesses by Implicitly Learning their Underlying Models ACML 2021 Expressive 1-Lipschitz Neural Networks for Robust Multiple Graph Learning against Adversarial Attacks ICML 2021 Fairness for Image Generation with Uncertain Sensitive Attributes ICML 2021 Fast and Complete: Enabling Complete Neural Network Verification with Rapid and Massively Parallel Incomplete Verifiers ICLR 2021 Faster Directional Convergence of Linear Neural Networks under Spherically Symmetric Data NeurIPS 2021 Faster Smarter Proof by Induction in Isabelle/HOL IJCAI 2021 Fast Learning in Reproducing Kernel Krein Spaces via Signed Measures AISTATS 2021 Few-Shot Learning via Learning the Representation, Provably ICLR 2021 FILTRA: Rethinking Steerable CNN by Filter Transform ICML 2021 Finding Concept-specific Biases in Form–Meaning Associations NAACL 2021 Finding the Hardest Formulas for Resolution (Extended Abstract) IJCAI 2021 Finite Sample Analysis of Average-Reward TD Learning and Q-Learning NeurIPS 2021 Finite-Sample Analysis of Off-Policy TD-Learning via Generalized Bellman Operators NeurIPS 2021 Finite-Sample Regret Bound for Distributionally Robust Offline Tabular Reinforcement Learning AISTATS 2021