Theory

Discourse Level Factors for Sentence Deletion in Text Simplification AAAI 2020 Discrepancy Ratio: Evaluating Model Performance When Even Experts Disagree on the Truth ICLR 2020 Dissecting Neural ODEs NeurIPS 2020 Dissecting Non-Vacuous Generalization Bounds based on the Mean-Field Approximation ICML 2020 Dissecting Span Identification Tasks with Performance Prediction EMNLP 2020 Distribution Free Learning with Local Queries ALT 2020 Domain-Liftability of Relational Marginal Polytopes AISTATS 2020 Do RNN and LSTM have Long Memory? ICML 2020 Effect of Activation Functions on the Training of Overparametrized Neural Nets ICLR 2020 Efficient Distance Approximation for Structured High-Dimensional Distributions via Learning NeurIPS 2020 Efficient Exact Verification of Binarized Neural Networks NeurIPS 2020 Efficient Verification of ReLU-Based Neural Networks via Dependency Analysis AAAI 2020 Elimination of All Bad Local Minima in Deep Learning AISTATS 2020 Emergence of Syntax Needs Minimal Supervision ACL 2020 Empirical Bounds on Linear Regions of Deep Rectifier Networks AAAI 2020 Empirical Studies on the Properties of Linear Regions in Deep Neural Networks ICLR 2020 Entrywise convergence of iterative methods for eigenproblems NeurIPS 2020 Error bounds in estimating the out-of-sample prediction error using leave-one-out cross validation in high-dimensions AISTATS 2020 Evaluating and Characterizing Human Rationales EMNLP 2020 Evaluating Lossy Compression Rates of Deep Generative Models ICML 2020 Evaluating Models’ Local Decision Boundaries via Contrast Sets EMNLP 2020 Evaluating Robustness to Input Perturbations for Neural Machine Translation ACL 2020 Evaluating the Calibration of Knowledge Graph Embeddings for Trustworthy Link Prediction EMNLP 2020 Exact expressions for double descent and implicit regularization via surrogate random design NeurIPS 2020 Exactly Computing the Local Lipschitz Constant of ReLU Networks NeurIPS 2020