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.
☆17Updated 4 years ago
Alternatives and similar repositories for Tensorflow_Pytorch_Sinkhorn_OT
Users that are interested in Tensorflow_Pytorch_Sinkhorn_OT are comparing it to the libraries listed below
Sorting:
- 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
- Neural Topic Model via Optimal Transport, ICLR 2021☆15Updated 4 years ago
- ☆64Updated 4 years ago
- Code for Environment Inference for Invariant Learning (ICML 2021 Paper)☆50Updated 3 years ago
- ☆40Updated 3 years ago
- Code for the paper Domain Adaptation with Conditional Distribution Matching and Generalized Label Shift☆37Updated 4 years ago
- The implement of "Learning Disentangled Semantic Representation for Domain Adaptation" (IJCAI 2019)☆19Updated 5 years ago
- ☆68Updated 6 years ago
- We propose a theoretically motivated method, Adversarial Training with informative Outlier Mining (ATOM), which improves the robustness o…☆57Updated 3 years ago
- PyTorch implementation for the ICLR 2020 paper "Understanding the Limitations of Variational Mutual Information Estimators"☆74Updated 5 years ago
- Official implementation of paper Gradient Matching for Domain Generalization☆121Updated 3 years ago
- Implementation of Invariant Risk Minimization https://arxiv.org/abs/1907.02893☆86Updated 5 years ago
- [ICML 2020] Continuously Indexed Domain Adaptation☆118Updated 2 years ago
- Implementation of 'DIVA: Domain Invariant Variational Autoencoders'☆102Updated 5 years ago
- MPVAE: Multivariate Probit Variational AutoEncoder for Multi-Label Classification☆31Updated 7 months ago
- Example implementation for the paper: (ICLR Oral) Learning Robust Representations by Projecting Superficial Statistics Out☆27Updated 4 years ago
- Generalizing to unseen domains via distribution matching☆72Updated 4 years ago
- Self-Supervised Learning with Data Augmentations Provably Isolates Content from Style☆51Updated 3 years ago
- "Maximum-Entropy Adversarial Data Augmentation for Improved Generalization and Robustness" (NeurIPS 2020).☆50Updated 4 years ago
- Implementation and datasets for Efficient Domain Generalization via Common-Specific Low-Rank Decomposition (https://arxiv.org/abs/2003.12…☆52Updated 4 years ago
- Implementation of Multi-View Information Bottleneck☆132Updated 4 years ago
- ☆14Updated 4 years ago
- Code release for Towards Accurate Model Selection in Deep Unsupervised Domain Adaptation (ICML 2019)☆63Updated 6 years ago
- ☆30Updated 3 years ago
- Learning Generative Models across Incomparable Spaces (ICML 2019)☆27Updated 5 years ago
- Learning from Failure: Training Debiased Classifier from Biased Classifier (NeurIPS 2020)☆91Updated 4 years ago
- ☆58Updated 3 years ago
- This repo contains the implementation of the Wasserstein Barycenter Transport proposed in "Wasserstein Barycenter Transport for Acoustic …☆30Updated 2 years ago
- ☆27Updated 4 years ago
- Pytorch code release of CVPR 21 Paper: Learning Invariant Representations and Risks☆31Updated 4 years ago