uvavision / Curriculum-LabelingLinks
[AAAI 2021] Curriculum Labeling: Revisiting Pseudo-Labeling for Semi-Supervised Learning
☆139Updated 4 years ago
Alternatives and similar repositories for Curriculum-Labeling
Users that are interested in Curriculum-Labeling are comparing it to the libraries listed below
Sorting:
- Code for CoMatch: Semi-supervised Learning with Contrastive Graph Regularization☆127Updated last month
- PyTorch implementation of the paper "Generalized Cross Entropy Loss for Training Deep Neural Networks with Noisy Labels" in NIPS 2018☆128Updated 5 years ago
- [CVPR 2021] Adaptive Consistency Regularization for Semi-Supervised Transfer Learning☆104Updated 3 years ago
- [ECCV 2022] Multi-Domain Long-Tailed Recognition, Imbalanced Domain Generalization, and Beyond☆135Updated 2 years ago
- Official implementation of "Pseudo-Labeling and Confirmation Bias in Deep Semi-Supervised Learning"☆153Updated 4 years ago
- "In Defense of Pseudo-Labeling: An Uncertainty-Aware Pseudo-label Selection Framework for Semi-Supervised Learning" by Mamshad Nayeem Riz…☆234Updated 2 years ago
- CVPR'20: Combating Noisy Labels by Agreement: A Joint Training Method with Co-Regularization☆126Updated last year
- Repo for CReST: A Class-Rebalancing Self-Training Framework for Imbalanced Semi-Supervised Learning☆100Updated 9 months ago
- SimMatch: Semi-supervised Learning with Similarity Matching☆92Updated last year
- Code for CVPR 2019 paper Label Propagation for Deep Semi-supervised Learning☆116Updated 4 years ago
- PyTorch implementation of CCSA("Unified Deep Supervised Domain Adaptation and Generalization")☆45Updated 6 years ago
- Official implementation of "A Unified Objective for Novel Class Discovery", ICCV2021 (Oral)☆148Updated 3 years ago
- Code for the paper "Distribution Aligning Refinery of Pseudo-label for Imbalanced Semi-supervised Learning" (NeurIPS 20)☆73Updated 2 years ago
- TPAMI2020 "Unsupervised Multi-Class Domain Adaptation: Theory, Algorithms, and Practice"☆75Updated 4 years ago
- Improving Calibration for Long-Tailed Recognition (CVPR2021)☆148Updated 3 years ago
- A collection of awesome things about mixed sample data augmentation☆132Updated 5 years ago
- [CVPR 2022] Pytorch implementation for “Debiased Learning from Naturally Imbalanced Pseudo-Labels”☆98Updated 2 years ago
- SwAV for CIFAR-10, adapted from https://github.com/facebookresearch/swav☆28Updated 3 years ago
- CVPR 2022: Selective-Supervised Contrastive Learning with Noisy Labels☆93Updated 3 years ago
- Code release of paper Debiased Self-Training for Semi-Supervised Learning (NeurIPS 2022 Oral)☆53Updated 2 years ago
- Official implementation of PCS in essay "Prototypical Cross-domain Self-supervised Learning for Few-shot Unsupervised Domain Adaptation"☆106Updated 3 years ago
- (NeurIPS 2020) Transductive Information Maximization for Few-Shot Learning https://arxiv.org/abs/2008.11297☆122Updated 2 years ago
- Code for "Balanced Knowledge Distillation for Long-tailed Learning"☆27Updated last year
- This repository is used to record current noisy label paper in mainstream ML and CV conference and journal.☆35Updated 3 years ago
- ☆58Updated 2 years ago
- ICLR 2021, "Learning with feature-dependent label noise: a progressive approach"☆43Updated 2 years ago
- PyTorch code for the paper "Curriculum Graph Co-Teaching for Multi-target Domain Adaptation" (CVPR2021)☆102Updated 3 years ago
- PyTorch implementation of consistency regularization methods for semi-supervised learning☆78Updated 4 years ago
- Code for CVPR 2022 paper “Class-Aware Contrastive Semi-Supervised Learning”☆97Updated 2 years ago
- PyTorch implementation of the paper "SuperLoss: A Generic Loss for Robust Curriculum Learning" in NIPS 2020.☆29Updated 4 years ago