ethanhezhao / Tensorflow_Pytorch_Sinkhorn_OTLinks
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 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:
- Code for the paper "Adversarial Self-supervised Contrastive Learning" (NeurIPS 2020)☆172Updated 3 years ago
- PyTorch implementation for the ICLR 2020 paper "Understanding the Limitations of Variational Mutual Information Estimators"☆75Updated 5 years ago
- ☆63Updated 5 years ago
- MPVAE: Multivariate Probit Variational AutoEncoder for Multi-Label Classification☆32Updated last year
- We propose a theoretically motivated method, Adversarial Training with informative Outlier Mining (ATOM), which improves the robustness o…☆57Updated 3 years ago
- Implementation of Invariant Risk Minimization https://arxiv.org/abs/1907.02893☆91Updated 5 years ago
- Implementation of 'DIVA: Domain Invariant Variational Autoencoders'☆105Updated 5 years ago
- ☆66Updated 6 years ago
- Pytorch implementation of Deep Variational Information Bottleneck☆204Updated 7 years ago
- Code for Environment Inference for Invariant Learning (ICML 2021 Paper)☆51Updated 4 years ago
- Sinkhorn Label Allocation is a label assignment method for semi-supervised self-training algorithms. The SLA algorithm is described in fu…☆53Updated 4 years ago
- Joint distribution optimal transportation for domain adaptation☆102Updated 7 years ago
- Self-Supervised Learning with Data Augmentations Provably Isolates Content from Style☆54Updated 3 years ago
- Neural Topic Model via Optimal Transport, ICLR 2021☆16Updated 4 years ago
- Learning from Failure: Training Debiased Classifier from Biased Classifier (NeurIPS 2020)☆92Updated 5 years ago
- Implementation of DeepJDOT in Keras☆63Updated 6 years ago
- Official implementation of paper Gradient Matching for Domain Generalization☆122Updated 3 years ago
- The implement of "Learning Disentangled Semantic Representation for Domain Adaptation" (IJCAI 2019)☆19Updated 6 years ago
- Implementation of Multi-View Information Bottleneck☆133Updated 5 years ago
- Description Code for the paper "Robust Inference via Generative Classifiers for Handling Noisy Labels".☆32Updated 6 years ago
- Code for "Just Train Twice: Improving Group Robustness without Training Group Information"☆72Updated last year
- A pytorch implementation of MINE(Mutual Information Neural Estimation)☆351Updated 6 years ago
- [ICML 2020] Continuously Indexed Domain Adaptation☆119Updated 3 years ago
- Code and data for the paper "Multi-Source Domain Adaptation with Mixture of Experts" (EMNLP 2018)☆70Updated 5 years ago
- Tensorflow implementation of "Learning to Balance: Bayesian Meta-learning for Imbalanced and Out-of-distribution Tasks" (ICLR 2020 oral)☆101Updated 4 years ago
- ☆42Updated 3 years ago
- A Tensorflow implementation Mutual Information estimation methods☆48Updated 2 years ago
- ☆36Updated 4 years ago
- A Baseline for Detecting Misclassified and Out-of-Distribution Examples in Neural Networks☆231Updated 6 years ago
- Toolkit for building machine learning models that generalize to unseen domains and are robust to privacy and other attacks.☆175Updated 2 years ago