ethanhezhao / Tensorflow_Pytorch_Sinkhorn_OT
Tensorflow (1.0 or 2.0) and Pytorch implementations of the Sinkhorn algorithm [1] for computing the optimal transport (OT) distance between two discrete distributions.
☆18Updated 3 years ago
Related projects ⓘ
Alternatives and complementary repositories for Tensorflow_Pytorch_Sinkhorn_OT
- We propose a theoretically motivated method, Adversarial Training with informative Outlier Mining (ATOM), which improves the robustness o…☆56Updated 2 years ago
- Implementation of Multi-View Information Bottleneck☆124Updated 4 years ago
- PyTorch implementation for the ICLR 2020 paper "Understanding the Limitations of Variational Mutual Information Estimators"☆73Updated 4 years ago
- Neural Topic Model via Optimal Transport, ICLR 2021☆15Updated 3 years ago
- ☆68Updated 5 years ago
- Learning Autoencoders with Relational Regularization☆44Updated 4 years ago
- MPVAE: Multivariate Probit Variational AutoEncoder for Multi-Label Classification☆31Updated last month
- Sinkhorn Label Allocation is a label assignment method for semi-supervised self-training algorithms. The SLA algorithm is described in fu…☆53Updated 3 years ago
- Tensorflow implementation for the ECCV20 paper "Improving Adversarial Robustness by Enforcing Local and Global Compactness"☆15Updated 3 years ago
- Code for the paper "Adversarial Self-supervised Contrastive Learning" (NeurIPS 2020)☆169Updated 2 years ago
- Code for the paper Domain Adaptation with Conditional Distribution Matching and Generalized Label Shift☆37Updated 4 years ago
- SwAV for CIFAR-10, adapted from https://github.com/facebookresearch/swav☆28Updated 3 years ago
- Official implementation of paper Gradient Matching for Domain Generalization☆116Updated 2 years ago
- ☆65Updated 4 years ago
- Code for the paper "Generalizing to Unseen Domains via Adversarial Data Augmentation", NeurIPS 2018☆121Updated 4 years ago
- Example implementation for the paper: (ICLR Oral) Learning Robust Representations by Projecting Superficial Statistics Out☆27Updated 3 years ago
- Tensorflow implementation of "Learning to Balance: Bayesian Meta-learning for Imbalanced and Out-of-distribution Tasks" (ICLR 2020 oral)☆98Updated 4 years ago
- Code for Environment Inference for Invariant Learning (ICML 2021 Paper)☆49Updated 3 years ago
- A way to achieve uniform confidence far away from the training data.☆36Updated 3 years ago
- [ICML 2020] Continuously Indexed Domain Adaptation☆116Updated 2 years ago
- Official Python3 implementation of our ICML 2021 paper "Unbalanced minibatch Optimal Transport; applications to Domain Adaptation"☆43Updated 2 years ago
- Code release for Towards Accurate Model Selection in Deep Unsupervised Domain Adaptation (ICML 2019)☆62Updated 5 years ago
- Pytorch implementation of Deep Variational Information Bottleneck☆177Updated 6 years ago
- Pytorch Implementation of the Nonlinear Information Bottleneck☆37Updated 4 months ago
- Learning from Failure: Training Debiased Classifier from Biased Classifier (NeurIPS 2020)☆89Updated 4 years ago
- A collection of Gradient-Based Meta-Learning Algorithms with pytorch☆62Updated 4 years ago
- ☆40Updated 4 years ago
- Implementation of Invariant Risk Minimization https://arxiv.org/abs/1907.02893☆85Updated 4 years ago
- ☆38Updated 2 years ago
- ☆35Updated 3 years ago