Optimization

Reasoning Visual Dialog with Sparse Graph Learning and Knowledge Transfer EMNLP 2021 Receptive Field Size Optimization With Continuous Time Pooling WACV 2021 ReconfigISP: Reconfigurable Camera Image Processing Pipeline ICCV 2021 Reconsidering the Past: Optimizing Hidden States in Language Models EMNLP 2021 Recovering Trajectories of Unmarked Joints in 3D Human Actions Using Latent Space Optimization WACV 2021 Recovery Analysis for Plug-and-Play Priors using the Restricted Eigenvalue Condition NeurIPS 2021 ReCU: Reviving the Dead Weights in Binary Neural Networks ICCV 2021 Redesigning the Transformer Architecture with Insights from Multi-particle Dynamical Systems NeurIPS 2021 Reducing Exposure Bias in Training Recurrent Neural Network Transducers Interspeech 2021 Reducing Neural Network Parameter Initialization Into an SMT Problem (Student Abstract) AAAI 2021 Reducing SAT to Max2SAT IJCAI 2021 Reducing Streaming ASR Model Delay with Self Alignment Interspeech 2021 Refining Deep Generative Models via Discriminator Gradient Flow ICLR 2021 Regret and Cumulative Constraint Violation Analysis for Online Convex Optimization with Long Term Constraints ICML 2021 Regret Minimization Experience Replay in Off-Policy Reinforcement Learning NeurIPS 2021 Regret Minimization in Stochastic Non-Convex Learning via a Proximal-Gradient Approach ICML 2021 Regret-Optimal Filtering AISTATS 2021 Regularising Fisher Information Improves Cross-lingual Generalisation EMNLP 2021 Regularization Matters in Policy Optimization - An Empirical Study on Continuous Control ICLR 2021 Regularized Frank-Wolfe for Dense CRFs: Generalizing Mean Field and Beyond NeurIPS 2021 Regularized Policies are Reward Robust AISTATS 2021 Regularizing Neural Networks via Adversarial Model Perturbation CVPR 2021 Reinforced Multi-Teacher Selection for Knowledge Distillation AAAI 2021 Reinforcement Learning for Cost-Aware Markov Decision Processes ICML 2021 Reinforcement Learning in Linear MDPs: Constant Regret and Representation Selection NeurIPS 2021