hbzju / SoLar
Source code for NeurIPS 2022 paper SoLar
☆27Updated last year
Alternatives and similar repositories for SoLar:
Users that are interested in SoLar are comparing it to the libraries listed below
- CVPR 2022: Selective-Supervised Contrastive Learning with Noisy Labels☆91Updated 2 years ago
- ICLR‘2021: Robust Early-learning: Hindering the Memorization of Noisy Labels☆76Updated 3 years ago
- Instance-Dependent Partial Label Learning(NIPS'21);Variational Label Enhancement for Instance-Dependent Partial Label Learning(TPAMI)☆24Updated 5 months ago
- ☆54Updated 10 months ago
- [ICML'2022] Estimating Instance-dependent Bayes-label Transition Matrix using a Deep Neural Network☆19Updated 2 years ago
- Exploiting Class Activation Value for Partial-Label Learning, ICLR 2022 (poster)☆14Updated 2 years ago
- Learning with Instance-Dependent Label Noise: A Sample Sieve Approach (ICLR2021)☆36Updated 4 years ago
- ☆17Updated 2 years ago
- [NeurIPS 2022] The official code for our NeurIPS 2022 paper "Inducing Neural Collapse in Imbalanced Learning: Do We Really Need a Learnab…☆44Updated 2 years ago
- A curated list of most recent papers & codes in Learning with Partial/Complementary Labels☆54Updated 2 months ago
- ☆16Updated 2 years ago
- [AAAI 21] Utilizing meta-learning to correct the noisy labels.☆14Updated 3 years ago
- A pytorch implementation for "Neighborhood Collective Estimation for Noisy Label Identification and Correction", which is accepted by ECC…☆25Updated last year
- This is an official PyTorch implementation of the ICML 2023 paper AdaNPC and SIGKDD paper DRM.☆85Updated 10 months ago
- ☆13Updated 2 years ago
- NeurIPS 2021, "Fine Samples for Learning with Noisy Labels"☆39Updated 3 years ago
- ☆46Updated last year
- [NeurIPS'20] Semi-Supervised Partial Label Learning via Confidence-Rated Margin Maximization☆19Updated 2 years ago
- This is the official repo for our CVPR22 paper: Scalable Penalized Regression for Noise Detection in Learning With Noisy Labels.☆18Updated 11 months ago
- [ICLR 2023] PyTorch implementation for "Long-Tailed Partial Label Learning via Dynamic Rebalancing"☆57Updated last year
- ☆23Updated 2 years ago
- ☆16Updated last year
- Code for the paper "Progressive Identification of True Labels for Partial-Label Learning".☆46Updated 4 years ago
- Official implementation of "Open-set Label Noise Can Improve Robustness Against Inherent Label Noise" (NeurIPS 2021)☆19Updated 2 years ago
- ☆19Updated 2 years ago
- ☆29Updated 4 years ago
- ☆11Updated 3 years ago
- Code for "Towards Effective Visual Representations for Partial-Label Learning" in CVPR 2023.☆22Updated last year