Haoang97 / TOHAN
Source code for NeurIPS 2021 paper "TOHAN: A One-step Approach towards Few-shot Hypothesis Adaptation".
☆9Updated 2 years ago
Alternatives and similar repositories for TOHAN:
Users that are interested in TOHAN are comparing it to the libraries listed below
- source code for NeurIPS21 paper robabilistic Margins for Instance Reweighting in Adversarial Training☆10Updated 2 years ago
- ☆9Updated last year
- ☆26Updated 2 years ago
- ☆16Updated 2 years ago
- CVPR2021: Out-of-Distribution Detection Using Union of 1-Dimensional Subspaces☆22Updated 3 years ago
- Source code for ICML2021 Paper - Learning Bounds for Open-set Learning☆35Updated 3 years ago
- Code for Model Agnostic Sample Reweighting for Out-of-Distribution Learning☆43Updated 2 years ago
- Code Release for Learning to Adapt to Evolving Domains☆31Updated 3 years ago
- ☆17Updated 3 years ago
- [CVPR 2020] Rethinking Class-Balanced Methods for Long-Tailed Visual Recognition from a Domain Adaptation Perspective☆24Updated 4 years ago
- The code for NoiLIn: Improving Adversarial Training and Correcting Stereotype of Noisy Labels (TMLR 22 accept)☆9Updated 2 years ago
- "Maximum-Entropy Adversarial Data Augmentation for Improved Generalization and Robustness" (NeurIPS 2020).☆50Updated 4 years ago
- Latent Space Virtual Adversarial Training (ECCV 2020)☆17Updated 4 years ago
- Code for "BayesAdapter: Being Bayesian, Inexpensively and Robustly, via Bayeisan Fine-tuning"☆31Updated 8 months ago
- Official implementation of "Open-set Label Noise Can Improve Robustness Against Inherent Label Noise" (NeurIPS 2021)☆20Updated 2 years ago
- Reverse Cross Entropy for Adversarial Detection (NeurIPS 2018)☆45Updated 3 years ago
- ☆48Updated 2 years ago
- [NeurIPS 2017] [ICML 2019] Code for complementary-label learning☆48Updated last year
- The official code for the NeurIPS 2021 paper Generalized Jensen-Shannon Divergence Loss for Learning with Noisy Labels (https://arxiv.org…☆21Updated 3 years ago
- ☆23Updated 2 years ago
- ☆60Updated 3 years ago
- Coupling rejection strategy against adversarial attacks (CVPR 2022)☆29Updated 3 years ago
- ICML'20: SIGUA: Forgetting May Make Learning with Noisy Labels More Robust☆15Updated 4 years ago
- ☆14Updated 2 years ago
- ☆29Updated 2 years ago
- The Official Repository for CVPR2023 Paper "NICO++: Towards Better Benchmarking for Domain Generalization".☆39Updated last year
- ☆28Updated 3 years ago
- ☆29Updated 3 years ago
- ☆16Updated last year
- Tensorflow Implementation on Paper [AAAI2020]Semi-Supervised Learning under Class Distribution Mismatch☆15Updated 4 years ago