Optimization

Second-Order Neural ODE Optimizer NeurIPS 2021 SEDONA: Search for Decoupled Neural Networks toward Greedy Block-wise Learning ICLR 2021 Self-boosting for Feature Distillation IJCAI 2021 Self-Calibrating Neural Radiance Fields ICCV 2021 Self-correcting Q-learning AAAI 2021 Selfish Sparse RNN Training ICML 2021 Self Normalizing Flows ICML 2021 Self-Progressing Robust Training AAAI 2021 Self-Supervised Geometric Perception CVPR 2021 Self-Tuning Bandits over Unknown Covariate-Shifts ALT 2021 Semialgebraic Representation of Monotone Deep Equilibrium Models and Applications to Certification NeurIPS 2021 SENSEI: Aligning Video Streaming Quality with Dynamic User Sensitivity NSDI 2021 Sequence Length is a Domain: Length-based Overfitting in Transformer Models EMNLP 2021 Sequence-to-Lattice Models for Fast Translation EMNLP 2021 Sequential Density Ratio Estimation for Simultaneous Optimization of Speed and Accuracy ICLR 2021 Set Generation Networks for End-to-End Knowledge Base Population EMNLP 2021 SGD Generalizes Better Than GD (And Regularization Doesn’t Help) COLT 2021 SGD in the Large: Average-case Analysis, Asymptotics, and Stepsize Criticality COLT 2021 SGD: The Role of Implicit Regularization, Batch-size and Multiple-epochs NeurIPS 2021 SGD with low-dimensional gradients with applications to private and distributed learning UAI 2021 SG-PALM: a Fast Physically Interpretable Tensor Graphical Model ICML 2021 Shape-Aware Multi-Person Pose Estimation From Multi-View Images ICCV 2021 Sharing Less is More: Lifelong Learning in Deep Networks with Selective Layer Transfer ICML 2021 Sharpness-aware Minimization for Efficiently Improving Generalization ICLR 2021 Shortest-Path Constrained Reinforcement Learning for Sparse Reward Tasks ICML 2021