guixianjin / noisy_label_papers
This repository is used to record current noisy label paper in mainstream ML and CV conference and journal.
☆32Updated 3 years ago
Related projects: ⓘ
- An update-to-date list for papers related with label-noise representation learning is here.☆88Updated 3 years ago
- AAAI 2021: Beyond Class-Conditional Assumption: A Primary Attempt to Combat Instance-Dependent Label Noise☆34Updated 3 years ago
- Code for "Learning From Multiple Experts: Self-paced Knowledge Distillation for Long-tailed Classification", ECCV 2020 Spotlight☆36Updated 3 years ago
- Learning with Instance-Dependent Label Noise: A Sample Sieve Approach (ICLR2021)☆36Updated 3 years ago
- [NeurIPS'20] Semi-Supervised Partial Label Learning via Confidence-Rated Margin Maximization☆19Updated 2 years ago
- CVPR 2022: Selective-Supervised Contrastive Learning with Noisy Labels☆89Updated 2 years ago
- PyTorch implementation of the paper: Long-tail Learning via Logit Adjustment☆86Updated 3 years ago
- ICLR 2021, "Learning with feature-dependent label noise: a progressive approach"☆41Updated last year
- ☆36Updated this week
- [AAAI 2021] Curriculum Labeling: Revisiting Pseudo-Labeling for Semi-Supervised Learning☆134Updated 3 years ago
- Source code for NeurIPS 2022 paper SoLar☆26Updated 9 months ago
- ☆16Updated 2 years ago
- ☆17Updated last year
- Ranking-based-Instance-Selection☆31Updated 3 years ago
- A pytorch implementation for "Neighborhood Collective Estimation for Noisy Label Identification and Correction", which is accepted by ECC…☆23Updated last year
- ☆13Updated 3 years ago
- Code for the paper "Progressive Identification of True Labels for Partial-Label Learning".☆45Updated 4 years ago
- Code for "Balanced Knowledge Distillation for Long-tailed Learning"☆26Updated 11 months ago
- Code release for Catastrophic Forgetting Meets Negative Transfer: Batch Spectral Shrinkage for Safe Transfer Learning (NeurIPS 2019)☆24Updated 2 years ago
- PyTorch implementation of the paper "Trustworthy Long-Tailed Classification" (CVPR 2022)☆56Updated 7 months ago
- official source code for the Paper: **Long-tailed Visual Recognition via Gaussian Clouded Logit Adjustment** based on Pytorch.☆36Updated 2 months ago
- Official code for the paper "Meta Soft Label Generation for Noisy Labels" accepted at ICPR 2020.☆18Updated 3 years ago
- ☆29Updated 3 years ago
- NeurIPS 2021, "Fine Samples for Learning with Noisy Labels"☆37Updated 2 years ago
- Meta Label Correction for Noisy Label Learning☆79Updated last year
- ICML'19 How does Disagreement Help Generalization against Label Corruption?☆82Updated 5 years ago
- Code for CoMatch: Semi-supervised Learning with Contrastive Graph Regularization☆125Updated 2 years ago
- Weakly Supervised Contrastive Learning☆39Updated 2 years ago
- PyTorch implementation of the paper "SuperLoss: A Generic Loss for Robust Curriculum Learning" in NIPS 2020.☆30Updated 3 years ago
- SimMatch: Semi-supervised Learning with Similarity Matching☆89Updated 8 months ago