xiaoboxia / T-RevisionLinks
NeurIPS'2019: Are Anchor Points Really Indispensable in Label-Noise Learning?
☆100Updated 4 years ago
Alternatives and similar repositories for T-Revision
Users that are interested in T-Revision are comparing it to the libraries listed below
Sorting:
- NeurIPS'2020: Part-dependent Label Noise: Towards Instance-dependent Label Noise☆61Updated 4 years ago
- ICLR‘2021: Robust Early-learning: Hindering the Memorization of Noisy Labels☆78Updated 4 years ago
- TPAMI: Classification with noisy labels by importance reweighting.☆40Updated 6 years ago
- Code for CVPR2020 ‘Training Noise Robust Deep Neural Networks via Meta-Learning’☆20Updated 5 years ago
- The implementation of the algorithm in the paper "Safe Deep Semi-Supervised Learning for Unseen-Class Unlabeled Data" published in ICML 2…☆50Updated 5 years ago
- ☆14Updated 2 years ago
- This is the code of CVPR'20 paper "Distilling Cross-Task Knowledge via Relationship Matching".☆49Updated 4 years ago
- [NeurIPS 2017] [ICML 2019] Code for complementary-label learning☆49Updated 2 months ago
- NeurIPS'19: Meta-Weight-Net: Learning an Explicit Mapping For Sample Weighting (Pytorch implementation for noisy labels).☆289Updated 3 years ago
- Learning with Instance-Dependent Label Noise: A Sample Sieve Approach (ICLR2021)☆38Updated 4 years ago
- An update-to-date list for papers related with label-noise representation learning is here.☆90Updated 4 years ago
- [ICML'2022] Estimating Instance-dependent Bayes-label Transition Matrix using a Deep Neural Network☆21Updated 3 years ago
- Code for 'Joint Optimization Framework for Learning with Noisy Labels'☆38Updated 7 years ago
- This is the official implementation of Self-Challenging Improves Cross-Domain Generalization, ECCV2020☆164Updated 4 years ago
- CVPR 2022: Selective-Supervised Contrastive Learning with Noisy Labels☆95Updated 3 years ago
- Learning with Instance-Dependent Label Noise: A Sample Sieve Approach (ICLR2021)☆34Updated 4 years ago
- A new code framework that uses pytorch to implement meta-learning, and takes Meta-Weight-Net as an example.☆61Updated 4 years ago
- Code for the paper "Progressive Identification of True Labels for Partial-Label Learning".☆52Updated 5 years ago
- ☆61Updated 3 years ago
- ☆24Updated 3 years ago
- The Pytorch implementation for "Learning to Learn Single Domain Generalization" (CVPR 2020)☆148Updated 5 years ago
- code released for our CVPR 2021 paper "Domain Adaptation with Auxiliary Target Domain-Oriented Classifier"☆57Updated 2 years ago
- ☆60Updated 3 years ago
- PyTorch implementation of the paper: Long-tail Learning via Logit Adjustment☆118Updated 4 years ago
- [CVPR 2022 Oral] Towards Principled Disentanglement for Domain Generalization☆63Updated 2 years ago
- Code refactoring for paper "Domain Generalization with Adversarial Feature Learning" in VLCS datasets.☆55Updated 5 years ago
- PyTorch custom dataset APIs -- CUB-200-2011, Stanford Dogs, Stanford Cars, FGVC Aircraft, NABirds, Tiny ImageNet, iNaturalist2017☆158Updated 2 years ago
- Code for our ECCV paper -- "Learning to Balance Specificity and Invariance for In and Out of Domain Generalization"☆56Updated 5 years ago
- [ICML 2020] Continuously Indexed Domain Adaptation☆119Updated 3 years ago
- A pytorch implementation for "Neighborhood Collective Estimation for Noisy Label Identification and Correction", which is accepted by ECC…☆26Updated 2 years ago