bhanML / label-noise-papers
An update-to-date list for papers related with label-noise representation learning is here.
☆88Updated 3 years ago
Related projects: ⓘ
- Code for the paper "Progressive Identification of True Labels for Partial-Label Learning".☆45Updated 4 years ago
- PyTorch implementation of PiCO https://arxiv.org/abs/2201.08984☆205Updated 7 months ago
- This repository is used to record current noisy label paper in mainstream ML and CV conference and journal.☆32Updated 3 years ago
- Code for CoMatch: Semi-supervised Learning with Contrastive Graph Regularization☆125Updated 2 years ago
- PyTorch implementation of the paper: Long-tail Learning via Logit Adjustment☆86Updated 3 years ago
- AAAI 2021: Beyond Class-Conditional Assumption: A Primary Attempt to Combat Instance-Dependent Label Noise☆34Updated 3 years ago
- ICLR‘2021: Robust Early-learning: Hindering the Memorization of Noisy Labels☆75Updated 3 years ago
- Meta Label Correction for Noisy Label Learning☆79Updated last year
- ☆36Updated this week
- [AAAI 2021] Curriculum Labeling: Revisiting Pseudo-Labeling for Semi-Supervised Learning☆134Updated 3 years ago
- ICML'19 How does Disagreement Help Generalization against Label Corruption?☆82Updated 5 years ago
- CVPR 2022: Selective-Supervised Contrastive Learning with Noisy Labels☆89Updated 2 years ago
- ☆48Updated 5 months ago
- Learning with Instance-Dependent Label Noise: A Sample Sieve Approach (ICLR2021)☆36Updated 3 years ago
- A new code framework that uses pytorch to implement meta-learning, and takes Meta-Weight-Net as an example.☆57Updated 3 years ago
- [ECCV 2022] Multi-Domain Long-Tailed Recognition, Imbalanced Domain Generalization, and Beyond☆128Updated last year
- "In Defense of Pseudo-Labeling: An Uncertainty-Aware Pseudo-label Selection Framework for Semi-Supervised Learning" by Mamshad Nayeem Riz…☆229Updated last year
- CVPR'20: Combating Noisy Labels by Agreement: A Joint Training Method with Co-Regularization☆124Updated 10 months ago
- Here is the official implementation of the model KD3A in paper "KD3A: Unsupervised Multi-Source Decentralized Domain Adaptation via Knowl…☆109Updated 2 years ago
- PyTorch implementation of the paper "Generalized Cross Entropy Loss for Training Deep Neural Networks with Noisy Labels" in NIPS 2018☆123Updated 4 years ago
- This repository is the official Pytorch implementation of Self-Supervised Aggregation of Diverse Experts for Test-Agnostic Long-Tailed Re…☆146Updated last year
- Code release of paper Debiased Self-Training for Semi-Supervised Learning (NeurIPS 2022 Oral)☆50Updated last year
- NeurIPS'19: Meta-Weight-Net: Learning an Explicit Mapping For Sample Weighting (Pytorch implementation for noisy labels).☆280Updated 2 years ago
- ☆13Updated 3 years ago
- ☆21Updated 2 years ago
- Official code for the paper "Meta Soft Label Generation for Noisy Labels" accepted at ICPR 2020.☆18Updated 3 years ago
- [CVPR'22] Official Implementation of the CVPR 2022 paper "UNICON: Combating Label Noise Through Uniform Selection and Contrastive Learnin…☆59Updated 8 months ago
- Papers about long-tailed tasks☆87Updated last year
- Official Implementation of Robust Training under Label Noise by Over-parameterization☆61Updated 2 years ago
- Source code for NeurIPS 2022 paper SoLar☆26Updated 9 months ago