Theory

Robust large-margin learning in hyperbolic space NeurIPS 2020 Robust One-Bit Recovery via ReLU Generative Networks: Near-Optimal Statistical Rate and Global Landscape Analysis ICML 2020 Robust Sequence Submodular Maximization NeurIPS 2020 Roles and Utilization of Attention Heads in Transformer-based Neural Language Models ACL 2020 Sample complexity and effective dimension for regression on manifolds NeurIPS 2020 Sampling-based Reachability Analysis: A Random Set Theory Approach with Adversarial Sampling CoRL 2020 Scale-Equivariant Steerable Networks ICLR 2020 Scaling up Simhash ACML 2020 Schwa-deletion in German noun-noun compounds COLING 2020 Self-Adaptive Training: beyond Empirical Risk Minimization NeurIPS 2020 Semantic Complexity in End-to-End Spoken Language Understanding Interspeech 2020 Semantic Width and the Fixed-Parameter Tractability of Constraint Satisfaction Problems IJCAI 2020 Sharp Representation Theorems for ReLU Networks with Precise Dependence on Depth NeurIPS 2020 Sharp uniform convergence bounds through empirical centralization NeurIPS 2020 Showing Your Work Doesn’t Always Work ACL 2020 Small Data, Big Decisions: Model Selection in the Small-Data Regime ICML 2020 Smoothed Analysis of Online and Differentially Private Learning NeurIPS 2020 SoftGym: Benchmarking Deep Reinforcement Learning for Deformable Object Manipulation CoRL 2020 Sparse Tree Search Optimality Guarantees in POMDPs with Continuous Observation Spaces IJCAI 2020 Speakers enhance contextually confusable words ACL 2020 Spectra of the Conjugate Kernel and Neural Tangent Kernel for linear-width neural networks NeurIPS 2020 Speech Translation and the End-to-End Promise: Taking Stock of Where We Are ACL 2020 Spread Divergence ICML 2020 Stability of Stochastic Gradient Descent on Nonsmooth Convex Losses NeurIPS 2020 Stable behaviour of infinitely wide deep neural networks AISTATS 2020