yiftachbeer / mmd_loss_pytorch
An implementation of Maximum Mean Discrepancy (MMD) as a differentiable loss in PyTorch.
☆26Updated 2 years ago
Related projects ⓘ
Alternatives and complementary repositories for mmd_loss_pytorch
- Efficient Conditionally Invariant Representation Learning (ICLR 2023, Oral)☆21Updated last year
- PyTorch implementation for the ICLR 2020 paper "Understanding the Limitations of Variational Mutual Information Estimators"☆73Updated 4 years ago
- Pytorch implementation of Learning Disentangled Representations via Mutual Information Estimation (ECCV 2020)☆72Updated 3 years ago
- ☆14Updated 2 years ago
- ☆35Updated 3 years ago
- [ICML 2022] RankSim: Ranking Similarity Regularization for Deep Imbalanced Regression☆42Updated 2 years ago
- Code for the paper "Rethinking Importance Weighting for Deep Learning under Distribution Shift".☆27Updated 3 years ago
- Code release for Representation Subspace Distance for Domain Adaptation Regression (ICML 2021)☆76Updated 3 years ago
- Robust Learning with the Hilbert-Schmidt Independence Criterion☆43Updated 4 years ago
- VAEs and nonlinear ICA: a unifying framework☆43Updated 5 years ago
- ☆39Updated 2 years ago
- ☆29Updated 3 years ago
- This repository holds the code for the paper "Deep Conditional Gaussian Mixture Model forConstrained Clustering".☆29Updated 2 years ago
- Official code for the CVPR 2021 paper "FixBi: Bridging Domain Spaces for Unsupervised Domain Adaptation"☆64Updated 2 years ago
- Pytorch Implementation of the Nonlinear Information Bottleneck☆37Updated 3 months ago
- C-GMVAE: Gaussian Mixture VAE with Contrastive Learning for Multi-Label Classification☆44Updated last year
- Benchmark for Natural Temporal Distribution Shift (NeurIPS 2022)☆63Updated last year
- Implementation of Multi-View Information Bottleneck☆124Updated 4 years ago
- Codes for Causal Semantic Generative model (CSG), the model proposed in "Learning Causal Semantic Representation for Out-of-Distribution …☆73Updated 2 years ago
- Official PyTorch implementation of the Fishr regularization for out-of-distribution generalization☆83Updated 2 years ago
- ICLR 2021 i-Mix: A Domain-Agnostic Strategy for Contrastive Representation Learning☆77Updated 11 months ago
- C-Mixup for NeurIPS 2022☆66Updated 11 months ago
- Code for the paper Domain Adaptation with Conditional Distribution Matching and Generalized Label Shift☆37Updated 4 years ago
- Distributional Sliced-Wasserstein distance code☆48Updated 3 months ago
- Code for Model Agnostic Sample Reweighting for Out-of-Distribution Learning☆43Updated last year
- A Python Package for Deep Imbalanced Learning☆54Updated last year
- MLTI for ICLR 2022☆30Updated 2 years ago
- ☆39Updated 4 years ago
- [ICLR 2023 (Spotlight)] Domain-Indexing Variational Bayes: Interpretable Domain Index for Domain Adaptation☆36Updated 10 months ago
- Example code of Sparse Gaussian Process Attention (ICLR 2023)☆19Updated 4 months ago