Optimization & Theory

SAM: The Sensitivity of Attribution Methods to Hyperparameters CVPR 2020 Sanity Checks for Saliency Metrics AAAI 2020 Scalable Attentive Sentence Pair Modeling via Distilled Sentence Embedding AAAI 2020 Scalable Methods for Computing State Similarity in Deterministic Markov Decision Processes AAAI 2020 Scale-Space Flow for End-to-End Optimized Video Compression CVPR 2020 schuBERT: Optimizing Elements of BERT ACL 2020 ScopeFlow: Dynamic Scene Scoping for Optical Flow CVPR 2020 SCOP: Scientific Control for Reliable Neural Network Pruning NeurIPS 2020 Search to Distill: Pearls Are Everywhere but Not the Eyes CVPR 2020 Search Tree Pruning for Progressive Neural Architecture Search (Student Abstract) AAAI 2020 SelectScale: Mining More Patterns from Images via Selective and Soft Dropout IJCAI 2020 Select to Better Learn: Fast and Accurate Deep Learning Using Data Selection From Nonlinear Manifolds CVPR 2020 Self-Orthogonality Module: A Network Architecture Plug-in for Learning Orthogonal Filters WACV 2020 Self-Paced Learning for Neural Machine Translation EMNLP 2020 Semantic Correspondence as an Optimal Transport Problem CVPR 2020 Semialgebraic Optimization for Lipschitz Constants of ReLU Networks NeurIPS 2020 Sequence Generation with Optimal-Transport-Enhanced Reinforcement Learning AAAI 2020 Severity-Aware Semantic Segmentation With Reinforced Wasserstein Training CVPR 2020 SGAS: Sequential Greedy Architecture Search CVPR 2020 SGD Learns One-Layer Networks in WGANs ICML 2020 Shallow-to-Deep Training for Neural Machine Translation EMNLP 2020 Sharp Representation Theorems for ReLU Networks with Precise Dependence on Depth NeurIPS 2020 Shoreline: Data-Driven Threshold Estimation of Online Reserves of Cryptocurrency Trading Platforms AAAI 2020 Shoreline: Data-Driven Threshold Estimation of Online Reserves of Cryptocurrency Trading Platforms (Student Abstract) AAAI 2020 Sideways: Depth-Parallel Training of Video Models CVPR 2020