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☆127Updated 2 years ago
- "In Defense of Pseudo-Labeling: An Uncertainty-Aware Pseudo-label Selection Framework for Semi-Supervised Learning" by Mamshad Nayeem Riz…☆237Updated 2 years ago
- Code for CoMatch: Semi-supervised Learning with Contrastive Graph Regularization☆128Updated 5 months ago
- Official implementation of "Pseudo-Labeling and Confirmation Bias in Deep Semi-Supervised Learning"☆155Updated 5 years ago
- PyTorch code for the paper "Curriculum Graph Co-Teaching for Multi-target Domain Adaptation" (CVPR2021)☆103Updated 4 years ago
- SKD : Self-supervised Knowledge Distillation for Few-shot Learning☆100Updated 2 years ago
- (NeurIPS 2020) Transductive Information Maximization for Few-Shot Learning https://arxiv.org/abs/2008.11297☆123Updated 2 years ago
- PyTorch implementation of consistency regularization methods for semi-supervised learning☆79Updated 5 years ago
- Improving Calibration for Long-Tailed Recognition (CVPR2021)☆149Updated 3 years ago
- Code for CVPR 2019 paper Label Propagation for Deep Semi-supervised Learning☆117Updated 5 years ago
- Repo for CReST: A Class-Rebalancing Self-Training Framework for Imbalanced Semi-Supervised Learning☆101Updated last year
- Regularizing Class-wise Predictions via Self-knowledge Distillation (CVPR 2020)☆109Updated 5 years ago
- [CVPR 2021] Adaptive Consistency Regularization for Semi-Supervised Transfer Learning☆106Updated 4 years ago
- [NeurIPS 2020] Released code for Interventional Few-Shot Learning☆169Updated 4 years ago
- 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
- TPAMI2020 "Unsupervised Multi-Class Domain Adaptation: Theory, Algorithms, and Practice"☆74Updated 4 years ago
- [ECCV 2022] Multi-Domain Long-Tailed Recognition, Imbalanced Domain Generalization, and Beyond☆138Updated 2 years ago
- Official implementation of "A Unified Objective for Novel Class Discovery", ICCV2021 (Oral)☆154Updated 3 years ago
- [ICML2020] Normalized Loss Functions for Deep Learning with Noisy Labels☆140Updated last year
- ☆115Updated 4 years ago
- ICML'19 How does Disagreement Help Generalization against Label Corruption?☆89Updated 6 years ago
- Pytorch Implementation of Domain Generalization Using a Mixture of Multiple Latent Domains☆105Updated 3 years ago
- Code release for NeurIPS 2020 paper "Co-Tuning for Transfer Learning"☆39Updated 3 years ago
- PyTorch implementation of "Contrast to Divide: self-supervised pre-training for learning with noisy labels"☆71Updated 4 years ago
- [CVPR 2021] Released code for Counterfactual Zero-Shot and Open-Set Visual Recognition☆163Updated 4 years ago
- PyTorch implementation of Self-supervised Contrastive Regularization for DG (SelfReg) [ICCV2021]☆78Updated 3 years ago
- awesome few shot / meta learning papers☆53Updated 4 years ago
- Code implementing the experiments described in the paper "On The Power of Curriculum Learning in Training Deep Networks" by Hacohen & Wei…☆114Updated 5 years ago
- PyTorch implementation of the paper "SuperLoss: A Generic Loss for Robust Curriculum Learning" in NIPS 2020.☆29Updated 4 years ago