khainb / Mini-batch-OTLinks
A new mini-batch framework for optimal transport in deep generative models, deep domain adaptation, approximate Bayesian computation, color transfer, and gradient flow.
☆37Updated 2 years ago
Alternatives and similar repositories for Mini-batch-OT
Users that are interested in Mini-batch-OT are comparing it to the libraries listed below
Sorting:
- Code for Neural Manifold Clustering and Embedding☆61Updated 3 years ago
- Distributional Sliced-Wasserstein distance code☆50Updated last year
- [ICML2023] InfoOT: Information Maximizing Optimal Transport☆42Updated 2 years ago
- Official Python3 implementation of our ICML 2021 paper "Unbalanced minibatch Optimal Transport; applications to Domain Adaptation"☆46Updated 2 years ago
- Learning Autoencoders with Relational Regularization☆46Updated 4 years ago
- Learning Representations that Support Robust Transfer of Predictors☆20Updated 3 years ago
- Weakly Supervised Contrastive Learning☆43Updated 3 years ago
- [ICLR 2023, ICLR DG oral] PAIR, the optimizer and model selection criteria for OOD Generalization☆52Updated last year
- Keypoint-Guided Optimal Transport (NeurIPS 2022)☆25Updated 2 years ago
- The repository for Hyperbolic Representation Learning for Computer Vision, ECCV 2022☆64Updated 2 years ago
- Experiments to reproduce results in Interventional Causal Representation Learning.☆25Updated 2 years ago
- Implementation of the Gromov-Wasserstein distance to the setting of Unbalanced Optimal Transport☆45Updated 2 years ago
- Implementation of Multi-View Information Bottleneck☆131Updated 5 years ago
- ☆38Updated 4 years ago
- Repo for the paper: "Agree to Disagree: Diversity through Disagreement for Better Transferability"☆36Updated 2 years ago
- ☆14Updated 4 years ago
- Hyperbolic Busemann Learning with Ideal Prototypes, NeurIPS2021☆24Updated 3 years ago
- LISA for ICML 2022☆50Updated 2 years ago
- Official PyTorch implementation of the Fishr regularization for out-of-distribution generalization☆87Updated 3 years ago
- ☆17Updated 3 years ago
- Code and results accompanying our paper titled RLSbench: Domain Adaptation under Relaxed Label Shift☆34Updated 2 years ago
- Implementation of our ICLR2023 paper "Spherical-Sliced Wasserstein"☆13Updated last year
- ☆31Updated 3 years ago
- ☆44Updated 4 months ago
- This repository is the official implementation of Unleashing the Power of Contrastive Self-Supervised Visual Models via Contrast-Regulari…☆21Updated 2 years ago
- ☆22Updated 3 years ago
- A PyTorch implementation of the Variational approach for PU learning☆30Updated 4 years ago
- (ICASSP'21/CVPR'21) Wasserstein Barycenter Transport☆31Updated 2 years ago
- C-GMVAE: Gaussian Mixture VAE with Contrastive Learning for Multi-Label Classification☆55Updated 2 years ago
- ☆36Updated 4 years ago