Theory

Document-Level Relation Extraction with Reconstruction AAAI 2021 Does Preprocessing Help Training Over-parameterized Neural Networks? NeurIPS 2021 Do Image Classifiers Generalize Across Time? ICCV 2021 Do Input Gradients Highlight Discriminative Features? NeurIPS 2021 Don’t Just Blame Over-parametrization for Over-confidence: Theoretical Analysis of Calibration in Binary Classification ICML 2021 Double Perturbation: On the Robustness of Robustness and Counterfactual Bias Evaluation NAACL 2021 Do we read what we hear? Modeling orthographic influences on spoken word recognition EACL 2021 DropGNN: Random Dropouts Increase the Expressiveness of Graph Neural Networks NeurIPS 2021 Dropout: Explicit Forms and Capacity Control ICML 2021 Dual Principal Component Pursuit for Robust Subspace Learning: Theory and Algorithms for a Holistic Approach ICML 2021 Early-stopped neural networks are consistent NeurIPS 2021 Early Stopping in Deep Networks: Double Descent and How to Eliminate it ICLR 2021 Efficient Algorithms for Learning Depth-2 Neural Networks with General ReLU Activations NeurIPS 2021 Efficient Certification of Spatial Robustness AAAI 2021 Elementary superexpressive activations ICML 2021 Embedding Principle of Loss Landscape of Deep Neural Networks NeurIPS 2021 Entangled Kernels - Beyond Separability JMLR 2021 Equivalence of Segmental and Neural Transducer Modeling: A Proof of Concept Interspeech 2021 Equivariant Manifold Flows NeurIPS 2021 Estimating Lipschitz constants of monotone deep equilibrium models ICLR 2021 Evaluating State-of-the-Art Classification Models Against Bayes Optimality NeurIPS 2021 Exact Asymptotics for Linear Quadratic Adaptive Control JMLR 2021 Exact Gap between Generalization Error and Uniform Convergence in Random Feature Models ICML 2021 ExCAR: Event Graph Knowledge Enhanced Explainable Causal Reasoning ACL 2021 Expected Validation Performance and Estimation of a Random Variable’s Maximum EMNLP 2021