wu-dd / Advances-in-Partial-and-Complementary-Label-LearningLinks
A curated list of most recent papers & codes in Learning with Partial/Complementary Labels
☆66Updated last month
Alternatives and similar repositories for Advances-in-Partial-and-Complementary-Label-Learning
Users that are interested in Advances-in-Partial-and-Complementary-Label-Learning are comparing it to the libraries listed below
Sorting:
- ☆61Updated last year
- CVPR 2022: Selective-Supervised Contrastive Learning with Noisy Labels☆95Updated 3 years ago
- Source code for NeurIPS 2022 paper SoLar☆29Updated last year
- Instance-Dependent Partial Label Learning(NIPS'21);Variational Label Enhancement for Instance-Dependent Partial Label Learning(TPAMI)☆26Updated 5 months ago
- PyTorch implementation of PiCO https://arxiv.org/abs/2201.08984☆224Updated last year
- ☆24Updated 3 years ago
- ☆16Updated 2 years ago
- Code for the paper "Progressive Identification of True Labels for Partial-Label Learning".☆52Updated 5 years ago
- Exploiting Domain-Specific Features to Enhance Domain Generalization (NeurIPS 2021).☆29Updated 3 years ago
- Twin Contrastive Learning with Noisy Labels (CVPR 2023)☆71Updated 2 years ago
- ICLR‘2021: Robust Early-learning: Hindering the Memorization of Noisy Labels☆78Updated 4 years ago
- [CVPR'22] Official Implementation of the CVPR 2022 paper "UNICON: Combating Label Noise Through Uniform Selection and Contrastive Learnin…☆63Updated last year
- A collection of model transferability estimation methods.☆28Updated last year
- An awesome paper list of Semi-Supervised Learning under realistic settings.☆122Updated 11 months ago
- A list of awesome partial-label learning papers and codes.☆36Updated 6 months ago
- An update-to-date list for papers related with label-noise representation learning is here.☆90Updated 4 years ago
- The official implementation of the paper **Learning Concise and Descriptive Attributes for Visual Recognition**☆48Updated last year
- A curated list of awesome Mix☆72Updated 2 years ago
- Hao-Ning / MEIDTM-Instance-Dependent-Label-Noise-Learning-with-Manifold-Regularized-Transition-Matrix-Estimatiopytorch☆10Updated 3 years ago
- Paper of out of distribution detection and generalization☆56Updated 2 years ago
- [CVPR 2022 Oral] Code release for "Causality Inspired Representation Learning for Domain Generalization"☆158Updated 2 years ago
- Source code for the NeurIPS 2023 paper: "CSOT: Curriculum and Structure-Aware Optimal Transport for Learning with Noisy Labels"☆18Updated last year
- ☆13Updated 2 years ago
- Official implementation for "Partial and Asymmetric Contrastive Learning for Out-of-Distribution Detection in Long-Tailed Recognition" (I…☆43Updated 2 years ago
- Source code for the NeurIPS 2022 Spotlight paper: "Unified Optimal Transport Framework for Universal Domain Adaptation"☆61Updated 2 years ago
- [ICLR 2023] PyTorch implementation for "Long-Tailed Partial Label Learning via Dynamic Rebalancing"☆57Updated 2 years ago
- Reliable Conflictive Multi-view Learning☆87Updated last year
- The official implementation of CVPR2023 paper "DISC: Learning from Noisy Labels via Dynamic Instance-Specific Selection and Correction"☆54Updated 2 years ago
- This is an official PyTorch implementation of the ICML 2023 paper AdaNPC and SIGKDD paper DRM.☆86Updated last year
- A PyTorch implementation of the paper Targeted Supervised Contrastive Learning for Long-tailed Recognition☆103Updated 2 years ago