weijiaheng / Advances-in-Label-Noise-LearningLinks
A curated (most recent) list of resources for Learning with Noisy Labels
☆711Updated last year
Alternatives and similar repositories for Advances-in-Label-Noise-Learning
Users that are interested in Advances-in-Label-Noise-Learning are comparing it to the libraries listed below
Sorting:
- A codebase and a curated list of awesome deep long-tailed learning (TPAMI 2023).☆986Updated 3 months ago
- A Survey☆570Updated 2 years ago
- Code for paper: DivideMix: Learning with Noisy Labels as Semi-supervised Learning☆571Updated 5 years ago
- ☆489Updated last year
- [IJCAI 2023] ProMix: Combating Label Noise via Maximizing Clean Sample Utility☆82Updated last year
- Human annotated noisy labels for CIFAR-10 and CIFAR-100. The website of CIFAR-N is available at http://www.noisylabels.com/.☆173Updated 2 years ago
- [Survey] Awesome List of Mixup Augmentation and Beyond (https://arxiv.org/abs/2409.05202)☆157Updated last year
- An awesome paper list of Semi-Supervised Learning under realistic settings.☆120Updated 10 months ago
- Test-time Adaptation, Test-time Training and Source-free Domain Adaptation☆518Updated last year
- A PyTorch-based library for semi-supervised learning (NeurIPS'21)☆1,362Updated 2 years ago
- The Official Repository for "Generalized OOD Detection: A Survey"☆456Updated 3 years ago
- [NeurIPS 2019] Learning Imbalanced Datasets with Label-Distribution-Aware Margin Loss☆687Updated 3 years ago
- This repo consists of collection of papers and repos on the topic of deep learning by noisy labels / label noise.☆236Updated 4 years ago
- PyTorch code for "Prototypical Contrastive Learning of Unsupervised Representations"☆600Updated 5 months ago
- 😎 An up-to-date & curated list of awesome semi-supervised learning papers, methods & resources.☆1,846Updated last year
- Official Implementation of Early-Learning Regularization Prevents Memorization of Noisy Labels☆296Updated 2 years ago
- A list of papers that studies Novel Class Discovery☆504Updated 2 months ago
- CAIRI Supervised, Semi- and Self-Supervised Visual Representation Learning Toolbox and Benchmark☆657Updated last month
- PyTorch implementation of PiCO https://arxiv.org/abs/2201.08984☆220Updated last year
- resource collection for transfer learning!☆249Updated 2 years ago
- An update-to-date list for papers related with label-noise representation learning is here.☆90Updated 4 years ago
- GMoE could be the next backbone model for many kinds of generalization task.☆272Updated 2 years ago
- A curated list of long-tailed recognition resources.☆586Updated 2 years ago
- Parametric Contrastive Learning (ICCV2021) & GPaCo (TPAMI 2023)☆258Updated 2 months ago
- code released for our ICML 2020 paper "Do We Really Need to Access the Source Data? Source Hypothesis Transfer for Unsupervised Domain Ad…☆471Updated last year
- A unified source-free domain adaptation framework.☆194Updated 4 months ago
- [ICML'2022] Estimating Instance-dependent Bayes-label Transition Matrix using a Deep Neural Network☆21Updated 3 years ago
- "In Defense of Pseudo-Labeling: An Uncertainty-Aware Pseudo-label Selection Framework for Semi-Supervised Learning" by Mamshad Nayeem Riz…☆237Updated 2 years ago
- 关于domain generalization,domain adaptation,causality,robutness,prompt,optimization,generative model各式各样研究的阅读笔记☆1,233Updated last year
- NeurIPS'18: Co-teaching: Robust Training of Deep Neural Networks with Extremely Noisy Labels☆515Updated 4 years ago