distribution matching

Imitation Learning via Off-Policy Distribution Matching ICLR 2020 Off-Policy Imitation Learning from Observations NeurIPS 2020 On Direct Distribution Matching for Adapting Segmentation Networks MIDL 2020 Reciprocal Adversarial Learning via Characteristic Functions NeurIPS 2020 Regularizing activations in neural networks via distribution matching with the Wasserstein metric ICLR 2020 ReMixMatch: Semi-Supervised Learning with Distribution Matching and Augmentation Anchoring ICLR 2020 Statistical Optimal Transport posed as Learning Kernel Embedding NeurIPS 2020 Strictly Batch Imitation Learning by Energy-based Distribution Matching NeurIPS 2020 The Shape of Data: Intrinsic Distance for Data Distributions ICLR 2020 Unbalanced Sobolev Descent NeurIPS 2020 Variational Adversarial Kernel Learned Imitation Learning AAAI 2020 Weakly Supervised Disentanglement with Guarantees ICLR 2020 Adversarial Learning for Weakly-Supervised Social Network Alignment AAAI 2019 Adversarial Learning of a Sampler Based on an Unnormalized Distribution AISTATS 2019 Bayesian Uncertainty Matching for Unsupervised Domain Adaptation IJCAI 2019 Comparing Unsupervised Word Translation Methods Step by Step NeurIPS 2019 Learning from Bad Data via Generation NeurIPS 2019 Learning Generative Models across Incomparable Spaces ICML 2019 mdfa: Multi-Differential Fairness Auditor for Black Box Classifiers IJCAI 2019 Multi-marginal Wasserstein GAN NeurIPS 2019 On Stabilizing Generative Adversarial Training With Noise CVPR 2019 On Target Shift in Adversarial Domain Adaptation AISTATS 2019 Optimal Transport Maps For Distribution Preserving Operations on Latent Spaces of Generative Models ICLR 2019 Oversampling for Imbalanced Data via Optimal Transport AAAI 2019 Sliced Gromov-Wasserstein NeurIPS 2019