ShikunLi / Sel-CL
CVPR 2022: Selective-Supervised Contrastive Learning with Noisy Labels
☆90Updated 2 years ago
Alternatives and similar repositories for Sel-CL:
Users that are interested in Sel-CL are comparing it to the libraries listed below
- ICLR‘2021: Robust Early-learning: Hindering the Memorization of Noisy Labels☆75Updated 3 years ago
- [CVPR'22] Official Implementation of the CVPR 2022 paper "UNICON: Combating Label Noise Through Uniform Selection and Contrastive Learnin…☆61Updated 4 months ago
- [AAAI 21] Utilizing meta-learning to correct the noisy labels.☆13Updated 3 years ago
- Source code for NeurIPS 2022 paper SoLar☆27Updated last year
- A pytorch implementation for "Neighborhood Collective Estimation for Noisy Label Identification and Correction", which is accepted by ECC…☆25Updated last year
- NeurIPS 2021, "Fine Samples for Learning with Noisy Labels"☆39Updated 3 years ago
- Twin Contrastive Learning with Noisy Labels (CVPR 2023)☆68Updated last year
- Code for CoMatch: Semi-supervised Learning with Contrastive Graph Regularization☆128Updated 3 years ago
- Papers about long-tailed tasks☆88Updated 2 years ago
- A PyTorch implementation of the paper Targeted Supervised Contrastive Learning for Long-tailed Recognition☆98Updated last year
- PyTorch implementation of the paper "Trustworthy Long-Tailed Classification" (CVPR 2022)☆61Updated last year
- Official Implementation of Robust Training under Label Noise by Over-parameterization☆63Updated 2 years ago
- official source code for the Paper: **Long-tailed Visual Recognition via Gaussian Clouded Logit Adjustment** based on Pytorch.☆38Updated 7 months ago
- ☆46Updated last year
- Code for TMLR 2023 paper "OpenCon: Open-world Contrastive Learning"☆35Updated last year
- Code for CVPR 2022 paper “Class-Aware Contrastive Semi-Supervised Learning”☆95Updated 2 years ago
- official implemntation for "Contrastive Learning with Stronger Augmentations"☆57Updated 3 years ago
- [ICCV 2023 Oral] IOMatch: Simplifying Open-Set Semi-Supervised Learning with Joint Inliers and Outliers Utilization☆48Updated last year
- PyTorch implementation of the paper: Long-tail Learning via Logit Adjustment☆101Updated 3 years ago
- ☆58Updated last year
- Code release for "Cycle Self-Training for Domain Adaptation" (NeurIPS 2021)☆54Updated 3 years ago
- Weakly Supervised Contrastive Learning☆41Updated 3 years ago
- ☆47Updated 2 years ago
- ResLT: Residual Learning for Long-tailed Recognition (TPAMI 2022)☆60Updated last year
- Code release of paper Debiased Self-Training for Semi-Supervised Learning (NeurIPS 2022 Oral)☆51Updated 2 years ago
- A PyTorch-based library for On Learning Contrastive Representations for Learning With Noisy Labels (CVPR'22)☆40Updated 2 years ago
- Improving Calibration for Long-Tailed Recognition (CVPR2021)☆146Updated 3 years ago
- ☆43Updated 3 years ago
- Code for NeurIPS 2021 paper "ReAct: Out-of-distribution Detection With Rectified Activations"☆51Updated 2 years ago
- Pytorch implementation for "Towards Realistic Long-Tailed Semi-Supervised Learning: Consistency Is All You Need" (CVPR 2023)☆66Updated last year