entropy regularization

Domain Generalization via Entropy Regularization NeurIPS 2020 Enhanced Transport Distance for Unsupervised Domain Adaptation CVPR 2020 Entropy Weighted Power k-Means Clustering AISTATS 2020 Generalized Entropy Regularization or: There’s Nothing Special about Label Smoothing ACL 2020 Generalized Product Quantization Network for Semi-Supervised Image Retrieval CVPR 2020 Look at the First Sentence: Position Bias in Question Answering EMNLP 2020 MTL-NAS: Task-Agnostic Neural Architecture Search Towards General-Purpose Multi-Task Learning CVPR 2020 Online Sinkhorn: Optimal Transport distances from sample streams NeurIPS 2020 On the Convergence of Smooth Regularized Approximate Value Iteration Schemes NeurIPS 2020 On the Global Convergence Rates of Softmax Policy Gradient Methods ICML 2020 Optimality and Approximation with Policy Gradient Methods in Markov Decision Processes COLT 2020 Promoting Stochasticity for Expressive Policies via a Simple and Efficient Regularization Method NeurIPS 2020 Reinforcement Learning in Continuous Time and Space: A Stochastic Control Approach JMLR 2020 Robust Reinforcement Learning for Continuous Control with Model Misspecification ICLR 2020 Towards Low-Resource Semi-Supervised Dialogue Generation with Meta-Learning EMNLP 2020 A Regularized Approach to Sparse Optimal Policy in Reinforcement Learning NeurIPS 2019 A Theory of Regularized Markov Decision Processes ICML 2019 Distilling Policy Distillation AISTATS 2019 DISTRIBUTIONAL CONCAVITY REGULARIZATION FOR GANS ICLR 2019 Entropic GANs meet VAEs: A Statistical Approach to Compute Sample Likelihoods in GANs ICML 2019 KerGM: Kernelized Graph Matching NeurIPS 2019 Large-Scale Home Energy Management Using Entropy-Based Collective Multiagent Deep Reinforcement Learning Framework IJCAI 2019 Learning from a Learner ICML 2019 Maximum Entropy-Regularized Multi-Goal Reinforcement Learning ICML 2019 Mutual-Information Regularization in Markov Decision Processes and Actor-Critic Learning CoRL 2019