tim-learn / SHOT
code released for our ICML 2020 paper "Do We Really Need to Access the Source Data? Source Hypothesis Transfer for Unsupervised Domain Adaptation"
☆440Updated 11 months ago
Alternatives and similar repositories for SHOT:
Users that are interested in SHOT are comparing it to the libraries listed below
- pytorch implementation for Contrastive Adaptation Network☆330Updated 4 years ago
- ☆186Updated 3 months ago
- Semi-supervised Domain Adaptation via Minimax Entropy☆302Updated last year
- resource collection for transfer learning!☆245Updated last year
- Domain Generalization with MixStyle (ICLR'21)☆286Updated 2 years ago
- All about domain generalization☆833Updated last year
- Code release for "Conditional Adversarial Domain Adaptation" (NIPS 2018)☆400Updated 3 years ago
- Code release for Universal Domain Adaptation(CVPR 2019)☆275Updated 2 years ago
- This is the official implementation of Self-Challenging Improves Cross-Domain Generalization, ECCV2020☆161Updated 3 years ago
- ICLR21 Tent: Fully Test-Time Adaptation by Entropy Minimization☆380Updated 3 years ago
- The code repository for "Few-Shot Learning via Embedding Adaptation with Set-to-Set Functions"☆423Updated 4 years ago
- code for our TPAMI 2021 paper "Source Data-absent Unsupervised Domain Adaptation through Hypothesis Transfer and Labeling Transfer"☆114Updated last year
- A collection of implementations of adversarial domain adaptation algorithms☆624Updated 3 years ago
- Implementation of Adversarial Domain Adaptation with Domain Mixup (AAAI 2020 Oral).☆162Updated 4 years ago
- The demo code for the MLDG paper "Learning to Generalize: Meta-Learning for Domain Generalization", https://arxiv.org/abs/1710.03463, htt…☆139Updated 5 years ago
- (ECCV 2020) Cross-Domain Few-Shot Learning Benchmarking System☆226Updated 4 years ago
- The Pytorch implementation for "Learning to Learn Single Domain Generalization" (CVPR 2020)☆147Updated 4 years ago
- Code release for Discriminative Adversarial Domain Adaptation (AAAI2020).☆117Updated 4 years ago
- Code for paper: DivideMix: Learning with Noisy Labels as Semi-supervised Learning☆550Updated 4 years ago
- A PyTorch implementation for Unsupervised Domain Adaptation by Backpropagation☆148Updated 4 years ago
- Official repository for Few-Shot Class-Incremental Learning (FSCIL)☆230Updated 4 years ago
- ☆565Updated 2 years ago
- PyTorch implementation of AANets (CVPR 2021) and Mnemonics Training (CVPR 2020 Oral)☆465Updated 2 years ago
- A PyTorch implementation for Adversarial Discriminative Domain Adaptation☆479Updated 2 years ago
- Cross-Domain Few-Shot Classification via Learned Feature-Wise Transformation (ICLR 2020 spotlight)☆336Updated 4 years ago
- [NeurIPS 2019] Learning Imbalanced Datasets with Label-Distribution-Aware Margin Loss☆653Updated 3 years ago
- A pytorch implementation of Maximum Mean Discrepancies(MMD) loss☆200Updated 2 years ago
- Domain agnostic learning with disentangled representations☆146Updated 5 years ago
- A PyTorch toolbox for domain generalization, domain adaptation and semi-supervised learning.☆1,263Updated last year
- Pytorch implementation of Domain Separation Networks☆150Updated 5 years ago