Optimization

Direction Matters: On the Implicit Bias of Stochastic Gradient Descent with Moderate Learning Rate ICLR 2021 Discovering a set of policies for the worst case reward ICLR 2021 Discretization Drift in Two-Player Games ICML 2021 Dissecting Supervised Contrastive Learning ICML 2021 Distance-Based Regularisation of Deep Networks for Fine-Tuning ICLR 2021 Distilling Optimal Neural Networks: Rapid Search in Diverse Spaces ICCV 2021 Distributed Second Order Methods with Fast Rates and Compressed Communication ICML 2021 Distributed Zero-Order Optimization under Adversarial Noise NeurIPS 2021 Distribution Adaptive INT8 Quantization for Training CNNs AAAI 2021 Distributionally Robust Multilingual Machine Translation EMNLP 2021 Distributional Reinforcement Learning via Moment Matching AAAI 2021 Distributional Robustness Loss for Long-Tail Learning ICCV 2021 Distributional Sliced-Wasserstein and Applications to Generative Modeling ICLR 2021 DivAug: Plug-In Automated Data Augmentation With Explicit Diversity Maximization ICCV 2021 Diverse Message Passing for Attribute with Heterophily NeurIPS 2021 Diversifying Sample Generation for Accurate Data-Free Quantization CVPR 2021 Does Preprocessing Help Training Over-parameterized Neural Networks? NeurIPS 2021 Domain-Independent Dominance of Adaptive Methods CVPR 2021 Dominant Resource Fairness with Meta-Types IJCAI 2021 DominoSearch: Find layer-wise fine-grained N:M sparse schemes from dense neural networks NeurIPS 2021 Do Neural Optimal Transport Solvers Work? A Continuous Wasserstein-2 Benchmark NeurIPS 2021 Don’t Generate Me: Training Differentially Private Generative Models with Sinkhorn Divergence NeurIPS 2021 DORO: Distributional and Outlier Robust Optimization ICML 2021 Double Low-Rank Representation With Projection Distance Penalty for Clustering CVPR 2021 Doubly Robust Off-Policy Actor-Critic: Convergence and Optimality ICML 2021