WuYichen-97 / Learning-to-Purify-Noisy-Labels-via-Meta-Soft-Label-CorrectorLinks
[AAAI 21] Utilizing meta-learning to correct the noisy labels.
☆15Updated 4 years ago
Alternatives and similar repositories for Learning-to-Purify-Noisy-Labels-via-Meta-Soft-Label-Corrector
Users that are interested in Learning-to-Purify-Noisy-Labels-via-Meta-Soft-Label-Corrector are comparing it to the libraries listed below
Sorting:
- CVPR 2022: Selective-Supervised Contrastive Learning with Noisy Labels☆93Updated 3 years ago
- ☆35Updated 3 years ago
- Co^2L: Contrastive Continual Learning (ICCV2021)☆99Updated 3 years ago
- ICLR‘2021: Robust Early-learning: Hindering the Memorization of Noisy Labels☆77Updated 4 years ago
- A PyTorch implementation of the paper Targeted Supervised Contrastive Learning for Long-tailed Recognition☆102Updated last year
- NeurIPS 2021, "Fine Samples for Learning with Noisy Labels"☆39Updated 3 years ago
- PyTorch implementation of the paper: Long-tail Learning via Logit Adjustment☆114Updated 3 years ago
- PyTorch implementation of PiCO https://arxiv.org/abs/2201.08984☆218Updated last year
- Meta Label Correction for Noisy Label Learning☆85Updated 2 years ago
- [ECCV 2022] Multi-Domain Long-Tailed Recognition, Imbalanced Domain Generalization, and Beyond☆137Updated 2 years ago
- An update-to-date list for papers related with label-noise representation learning is here.☆90Updated 3 years ago
- PyTorch implementation of "How to Train Your MAML to Excel in Few-Shot Classification"☆44Updated last year
- Improving Calibration for Long-Tailed Recognition (CVPR2021)☆148Updated 3 years ago
- [AAAI 2021] Curriculum Labeling: Revisiting Pseudo-Labeling for Semi-Supervised Learning☆139Updated 4 years ago
- ☆59Updated 2 years ago
- Code for CVPR2020 ‘Training Noise Robust Deep Neural Networks via Meta-Learning’☆20Updated 4 years ago
- [CVPR'22] Official Implementation of the CVPR 2022 paper "UNICON: Combating Label Noise Through Uniform Selection and Contrastive Learnin…☆62Updated 9 months ago
- This repository is the official Pytorch implementation of Self-Supervised Aggregation of Diverse Experts for Test-Agnostic Long-Tailed Re…☆162Updated 2 years ago
- [NeurIPS 2017] [ICML 2019] Code for complementary-label learning☆49Updated last year
- Code for CoMatch: Semi-supervised Learning with Contrastive Graph Regularization☆128Updated 3 months ago
- Code for the paper "Representational Continuity for Unsupervised Continual Learning" (ICLR 22)☆98Updated 2 years ago
- Official implementation of "A Unified Objective for Novel Class Discovery", ICCV2021 (Oral)☆151Updated 3 years ago
- Code for NeurIPS 2021 paper "ReAct: Out-of-distribution Detection With Rectified Activations"☆53Updated 3 years ago
- Papers about long-tailed tasks☆89Updated 2 years ago
- A new code framework that uses pytorch to implement meta-learning, and takes Meta-Weight-Net as an example.☆61Updated 3 years ago
- Code for the paper "Distribution Aligning Refinery of Pseudo-label for Imbalanced Semi-supervised Learning" (NeurIPS 20)☆73Updated 3 years ago
- Instance-Dependent Partial Label Learning（NIPS'21）；Variational Label Enhancement for Instance-Dependent Partial Label Learning（TPAMI）☆25Updated 2 months ago
- ☆7Updated 4 years ago
- This repository is the official implementation of the aaai2022 paper "Zero-Shot Out-of-Distribution Detection Based on the Pre-trained Mo…☆20Updated last year
- PyTorch implementation of our NeurIPS 2021 paper "Class-Incremental Learning via Dual Augmentation"☆38Updated 3 years ago