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:
- CVPR'20: Combating Noisy Labels by Agreement: A Joint Training Method with Co-Regularization☆126Updated last year
- Code for CoMatch: Semi-supervised Learning with Contrastive Graph Regularization☆127Updated 2 months ago
- PyTorch implementation of consistency regularization methods for semi-supervised learning☆78Updated 4 years ago
- "In Defense of Pseudo-Labeling: An Uncertainty-Aware Pseudo-label Selection Framework for Semi-Supervised Learning" by Mamshad Nayeem Riz…☆235Updated 2 years ago
- PyTorch implementation of the paper "Generalized Cross Entropy Loss for Training Deep Neural Networks with Noisy Labels" in NIPS 2018☆128Updated 5 years ago
- Repo for CReST: A Class-Rebalancing Self-Training Framework for Imbalanced Semi-Supervised Learning☆101Updated 10 months ago
- PyTorch implementation of the paper "SuperLoss: A Generic Loss for Robust Curriculum Learning" in NIPS 2020.☆29Updated 4 years ago
- Official implementation of "Pseudo-Labeling and Confirmation Bias in Deep Semi-Supervised Learning"☆153Updated 4 years ago
- Code for CVPR 2019 paper Label Propagation for Deep Semi-supervised Learning☆116Updated 5 years ago
- Improving Calibration for Long-Tailed Recognition (CVPR2021)☆148Updated 3 years ago
- PyTorch code for the paper "Curriculum Graph Co-Teaching for Multi-target Domain Adaptation" (CVPR2021)☆102Updated 4 years ago
- [CVPR 2021] Adaptive Consistency Regularization for Semi-Supervised Transfer Learning☆105Updated 3 years ago
- TPAMI2020 "Unsupervised Multi-Class Domain Adaptation: Theory, Algorithms, and Practice"☆75Updated 4 years ago
- SKD : Self-supervised Knowledge Distillation for Few-shot Learning☆98Updated last year
- A collection of awesome things about mixed sample data augmentation☆132Updated 5 years ago
- Code for the paper "Distribution Aligning Refinery of Pseudo-label for Imbalanced Semi-supervised Learning" (NeurIPS 20)☆73Updated 3 years ago
- (NeurIPS 2020) Transductive Information Maximization for Few-Shot Learning https://arxiv.org/abs/2008.11297☆122Updated 2 years ago
- Code release for NeurIPS 2020 paper "Co-Tuning for Transfer Learning"☆40Updated 3 years ago
- [ECCV 2022] Multi-Domain Long-Tailed Recognition, Imbalanced Domain Generalization, and Beyond☆136Updated 2 years ago
- ICML'19 How does Disagreement Help Generalization against Label Corruption?☆85Updated 6 years ago
- Pytorch Implementation of Domain Generalization Using a Mixture of Multiple Latent Domains☆103Updated 3 years ago
- [NeurIPS 2020] Released code for Interventional Few-Shot Learning☆169Updated 3 years ago
- Official implementation of "A Unified Objective for Novel Class Discovery", ICCV2021 (Oral)☆150Updated 3 years ago
- Regularizing Class-wise Predictions via Self-knowledge Distillation (CVPR 2020)☆108Updated 5 years ago
- PyTorch implementation of CCSA("Unified Deep Supervised Domain Adaptation and Generalization")☆45Updated 6 years ago
- Published in IEEE Transactions on Artificial Intelligence☆56Updated 3 years ago
- [CVPR 2022] Pytorch implementation for “Debiased Learning from Naturally Imbalanced Pseudo-Labels”☆99Updated 2 years ago
- [CVPR 2021] Released code for Counterfactual Zero-Shot and Open-Set Visual Recognition☆161Updated 4 years ago
- [ICML2020] Normalized Loss Functions for Deep Learning with Noisy Labels☆138Updated last year
- Code implementing the experiments described in the paper "On The Power of Curriculum Learning in Training Deep Networks" by Hacohen & Wei…☆112Updated 5 years ago