chengtan9907 / Co-learning
The official implementation of the ACM MM'21 paper Co-learning: Learning from noisy labels with self-supervision.
☆119Updated 2 years ago
Alternatives and similar repositories for Co-learning:
Users that are interested in Co-learning are comparing it to the libraries listed below
- The official implementation of the CVPR'2022 paper Hyperspherical Consistency Regularization.☆27Updated 2 years ago
- The official implementation of the ICML'24 paper RFold: Deciphering RNA Secondary Structure Prediction: A Probabilistic K-Rook Matching P…☆83Updated 7 months ago
- Code for CoMatch: Semi-supervised Learning with Contrastive Graph Regularization☆127Updated 3 years ago
- The official implementation of the ICASSP'2023 paper Global-context aware generative protein design.☆26Updated 2 years ago
- CVPR 2022: Selective-Supervised Contrastive Learning with Noisy Labels☆91Updated 2 years ago
- The official implementation of the ICLR'24 paper RDesign: Hierarchical Data-efficient Representation Learning for Tertiary Structure-base…☆39Updated 6 months ago
- [ECCV 2022] Multi-Domain Long-Tailed Recognition, Imbalanced Domain Generalization, and Beyond☆131Updated 2 years ago
- A PyTorch implementation of the paper Targeted Supervised Contrastive Learning for Long-tailed Recognition☆98Updated last year
- Weakly Supervised Contrastive Learning☆41Updated 3 years ago
- SimMatch: Semi-supervised Learning with Similarity Matching☆90Updated last year
- [AAAI 2021] Curriculum Labeling: Revisiting Pseudo-Labeling for Semi-Supervised Learning☆138Updated 4 years ago
- Code release of paper Debiased Self-Training for Semi-Supervised Learning (NeurIPS 2022 Oral)☆52Updated 2 years ago
- ☆153Updated 2 years ago
- Unofficial implementation of ECCV 2020 paper "Feature Space Augmentation for Long-Tailed Data"☆24Updated 2 years ago
- CVPR'20: Combating Noisy Labels by Agreement: A Joint Training Method with Co-Regularization☆126Updated last year
- Official implementation for "Pure Noise to the Rescue of Insufficient Data: Improving Imbalanced Classification by Training on Random Noi…☆15Updated 2 years ago
- A curated list of awesome Mix☆68Updated 2 years ago
- ☆17Updated 2 years ago
- ICLR‘2021: Robust Early-learning: Hindering the Memorization of Noisy Labels☆76Updated 3 years ago
- [CVPR'22] Official Implementation of the CVPR 2022 paper "UNICON: Combating Label Noise Through Uniform Selection and Contrastive Learnin…☆61Updated 5 months ago
- PyTorch implementation of "Contrast to Divide: self-supervised pre-training for learning with noisy labels"☆71Updated 3 years ago
- ICLR 2021, "Learning with feature-dependent label noise: a progressive approach"☆43Updated 2 years ago
- NeurIPS 2021, "Fine Samples for Learning with Noisy Labels"☆39Updated 3 years ago
- Meta Label Correction for Noisy Label Learning☆85Updated 2 years ago
- [AAAI 21] Utilizing meta-learning to correct the noisy labels.☆14Updated 3 years ago
- The official implementation of the ICLR'23 paper PiFold: Toward effective and efficient protein inverse folding.☆175Updated last year
- SwAV for CIFAR-10, adapted from https://github.com/facebookresearch/swav☆28Updated 3 years ago
- Code Release for “Balanced Contrastive Learning for Long-Tailed Visual Recognition”☆106Updated 2 years ago
- CaCo: Both Positive and Negative Samples are Directly Learnable via Cooperative-adversarial Contrastive Learning☆20Updated last year
- PyTorch implementation of the paper: Long-tail Learning via Logit Adjustment☆102Updated 3 years ago