thuml / A-Roadmap-for-Transfer-LearningLinks
☆166Updated 3 years ago
Alternatives and similar repositories for A-Roadmap-for-Transfer-Learning
Users that are interested in A-Roadmap-for-Transfer-Learning are comparing it to the libraries listed below
Sorting:
- resource collection for transfer learning!☆249Updated 2 years ago
- The Official Repository for "Generalized OOD Detection: A Survey"☆456Updated 3 years ago
- Awesome things about domain generalization, including papers, code, etc.☆510Updated 9 months ago
- 30 Semi-Supervised Learning Algorithms☆212Updated last year
- Official repository for CVPR21 paper "Deep Stable Learning for Out-Of-Distribution Generalization".☆199Updated 3 years ago
- Code release for Representation Subspace Distance for Domain Adaptation Regression (ICML 2021)☆84Updated 4 years ago
- [ECCV 2022] Multi-Domain Long-Tailed Recognition, Imbalanced Domain Generalization, and Beyond☆141Updated 2 years ago
- code released for our ICML 2020 paper "Do We Really Need to Access the Source Data? Source Hypothesis Transfer for Unsupervised Domain Ad…☆481Updated last year
- "In Defense of Pseudo-Labeling: An Uncertainty-Aware Pseudo-label Selection Framework for Semi-Supervised Learning" by Mamshad Nayeem Riz…☆236Updated 2 years ago
- Code for Transfer Learning book--《迁移学习导论》配套代码☆313Updated 2 years ago
- This is a toolbox for Deep Active Learning, an extension from previous work https://github.com/ej0cl6/deep-active-learning (DeepAL toolbo…☆183Updated last year
- ☆493Updated last year
- PyTorch implementation of DANN (Domain-Adversarial Training of Neural Networks)☆146Updated 2 years ago
- This repo contains a PyTorch implementation of the paper: "Evidential Deep Learning to Quantify Classification Uncertainty"☆507Updated 2 years ago
- Code release of paper Debiased Self-Training for Semi-Supervised Learning (NeurIPS 2022 Oral)☆54Updated 3 years ago
- An update-to-date list for papers related with label-noise representation learning is here.☆91Updated 4 years ago
- This is an official PyTorch implementation of the ICLR 2023 paper 《Free Lunch for Domain Adversarial Training: Environment Label Smoothin…☆60Updated 2 years ago
- Open Set Recognition☆174Updated 4 years ago
- A list of papers that studies Novel Class Discovery☆515Updated 5 months ago
- [AAAI 2022] Official Implementation of Active Learning for Domain Adaptation: An Energy-based Approach https://arxiv.org/abs/2112.01406☆91Updated 2 years ago
- Awesome Few-Shot Class-Incremental Learning☆248Updated 2 years ago
- [CVPR 2022 Oral] Code release for "Causality Inspired Representation Learning for Domain Generalization"☆160Updated 2 years ago
- [TPAMI 2022] Adversarial Reciprocal Points Learning for Open Set Recognition☆188Updated 2 years ago
- Test-time Adaptation, Test-time Training and Source-free Domain Adaptation☆530Updated last year
- LightningFSL: Pytorch-Lightning implementations of Few-Shot Learning models.☆114Updated 3 years ago
- This is the official repository for the paper "A Unified Survey on Anomaly, Novelty, Open-Set, and Out-of-Distribution Detection: Solutio…☆63Updated 3 years ago
- Pytorch implementation of four neural network based domain adaptation techniques: DeepCORAL, DDC, CDAN and CDAN+E. Evaluated on benchmark…☆93Updated 4 years ago
- A pytorch implementation of Maximum Mean Discrepancies(MMD) loss☆213Updated 3 years ago
- Here is the official implementation of the model KD3A in paper "KD3A: Unsupervised Multi-Source Decentralized Domain Adaptation via Knowl…☆119Updated 3 years ago
- PyTorch implementation of the paper: Long-tail Learning via Logit Adjustment☆116Updated 4 years ago