arghosh / noisy_label_pretrainLinks
☆32Updated 4 years ago
Alternatives and similar repositories for noisy_label_pretrain
Users that are interested in noisy_label_pretrain are comparing it to the libraries listed below
Sorting:
- Official PyTorch implementation of "Co-Mixup: Saliency Guided Joint Mixup with Supermodular Diversity" (ICLR'21 Oral)☆105Updated 3 years ago
- PyTorch implementation of "Contrast to Divide: self-supervised pre-training for learning with noisy labels"☆71Updated 4 years ago
- SKD : Self-supervised Knowledge Distillation for Few-shot Learning☆100Updated 2 years ago
- Code of our method MbLS (Margin-based Label Smoothing) for network calibration. To Appear at CVPR 2022. Paper : https://arxiv.org/abs/211…☆50Updated 2 years ago
- [ICML 2021] “ Self-Damaging Contrastive Learning”, Ziyu Jiang, Tianlong Chen, Bobak Mortazavi, Zhangyang Wang☆63Updated 3 years ago
- Improving Calibration for Long-Tailed Recognition (CVPR2021)☆149Updated 3 years ago
- Adjust Decision Boundary for Class Imbalanced Learning☆19Updated 5 years ago
- ☆26Updated 3 years ago
- Official code for "Mean Shift for Self-Supervised Learning"☆57Updated 3 years ago
- ☆28Updated 4 years ago
- PyTorch implementation of Self-supervised Contrastive Regularization for DG (SelfReg) [ICCV2021]☆78Updated 3 years ago
- Code for the paper "M2m: Imbalanced Classification via Major-to-minor Translation" (CVPR 2020)☆95Updated 3 years ago
- [AAAI 2021] Curriculum Labeling: Revisiting Pseudo-Labeling for Semi-Supervised Learning☆139Updated 4 years ago
- PyTorch implementation of the paper "SuperLoss: A Generic Loss for Robust Curriculum Learning" in NIPS 2020.☆29Updated 4 years ago
- (NeurIPS 2020 Workshop on SSL) Official Implementation of "MixCo: Mix-up Contrastive Learning for Visual Representation"☆58Updated 2 years ago
- ☆46Updated 4 years ago
- [ICML'21] Estimate the accuracy of the classifier in various environments through self-supervision☆27Updated 4 years ago
- ☆28Updated 3 years ago
- The Official Implementation of the ICCV-2021 Paper: Semantically Coherent Out-of-Distribution Detection.☆70Updated 3 years ago
- ICLR 2021, "Learning with feature-dependent label noise: a progressive approach"☆43Updated 2 years ago
- ☆85Updated 3 years ago
- [ICLR 2021] Heteroskedastic and Imbalanced Deep Learning with Adaptive Regularization☆41Updated 4 years ago
- Pytorch implementation of Meta-Learned Confidence for Few-shot Learning☆71Updated 4 years ago
- NLNL: Negative Learning for Noisy Labels☆104Updated 5 years ago
- MoPro: Webly Supervised Learning☆88Updated 5 months ago
- ☆42Updated 5 years ago
- Few-shot learning with mislabeled support samples☆44Updated 2 years ago
- ISD: Self-Supervised Learning by Iterative Similarity Distillation☆36Updated 3 years ago
- Multi-Label Learning from Single Positive Labels - CVPR 2021☆98Updated last year
- Improving Contrastive Learning by Visualizing Feature Transformation, ICCV 2021 Oral☆90Updated 3 years ago