An update-to-date list for papers related with label-noise representation learning is here.
☆93Aug 25, 2021Updated 5 years ago
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- A Survey☆574Feb 13, 2023Updated 3 years ago
- Q. Yao, H. Yang, B. Han, G. Niu, J. Kwok. Searching to Exploit Memorization Effect in Learning from Noisy Labels. ICML 2020☆23Aug 23, 2020Updated 6 years ago
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- NeurIPS'18: Masking: A New Perspective of Noisy Supervision☆55Nov 29, 2018Updated 7 years ago
- NeurIPS'2020: Part-dependent Label Noise: Towards Instance-dependent Label Noise☆62Dec 16, 2020Updated 5 years ago
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- Official Implementation of Early-Learning Regularization Prevents Memorization of Noisy Labels☆302May 22, 2023Updated 3 years ago
- Noise of Web (NoW) is a challenging noisy correspondence learning (NCL) benchmark containing 100K image-text pairs for robust image-text …☆16Nov 20, 2025Updated 11 months ago
- NeurIPS 2021, "Fine Samples for Learning with Noisy Labels"☆41Nov 29, 2021Updated 4 years ago
- [NeurIPS 2023] Combating Bilateral Edge Noise for Robust Link Prediction☆13Nov 3, 2023Updated 3 years ago
- Meta-Learning based Noise-Tolerant Training☆122Aug 16, 2020Updated 6 years ago
- The released code for the paper: Pooling Architecture Search for Graph Classification, in CIKM 2021.☆26Jan 26, 2022Updated 4 years ago
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- Regularly Truncated M-estimators for Learning with Noisy Labels☆11Apr 24, 2024Updated 2 years ago
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- Code for CoMatch: Semi-supervised Learning with Contrastive Graph Regularization☆135May 1, 2025Updated last year
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- ICLR‘2021: Robust Early-learning: Hindering the Memorization of Noisy Labels☆77Jun 15, 2021Updated 5 years ago
- Continual/Lifelong/Incremental Learning☆12Jun 7, 2021Updated 5 years ago
- Learning with Noisy Labels via Sparse Regularization, ICCV2021☆48Apr 12, 2022Updated 4 years ago
- Code for paper "Dimensionality-Driven Learning with Noisy Labels" - ICML 2018☆58Jun 11, 2024Updated 2 years ago
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- [CVPR 2021] Code for "Augmentation Strategies for Learning with Noisy Labels".☆114Jan 9, 2022Updated 4 years ago
- Uni-OVSeg is a weakly supervised open-vocabulary segmentation framework that leverages unpaired mask-text pairs.☆54Jun 11, 2024Updated 2 years ago
- [ICCV 2021] A Simple Baseline for Semi-supervised Semantic Segmentation with Strong Data Augmentation☆56Oct 8, 2022Updated 4 years ago
- NeurIPS 2022: Estimating Noise Transition Matrix with Label Correlations for Noisy Multi-Label Learning☆18Mar 3, 2023Updated 3 years ago
- Official Implementation of ICML 2019 Unsupervised label noise modeling and loss correction☆223Jul 30, 2020Updated 6 years ago
- Implementation of paper: Making Deep Neural Network Robust to Label Noise: a Loss Correction Approach.☆24Feb 8, 2023Updated 3 years ago
- [CIKM-2024] Official code for work "ERASE: Error-Resilient Representation Learning on Graphs for Label Noise Tolerance"☆20Aug 14, 2024Updated 2 years ago