pxiangwu / PLCLinks
ICLR 2021, "Learning with feature-dependent label noise: a progressive approach"
☆43Updated 2 years ago
Alternatives and similar repositories for PLC
Users that are interested in PLC are comparing it to the libraries listed below
Sorting:
- Official implementation for: "Multi-Objective Interpolation Training for Robustness to Label Noise"☆39Updated 3 years ago
- NeurIPS 2021, "Fine Samples for Learning with Noisy Labels"☆39Updated 3 years ago
- Code for 'Joint Optimization Framework for Learning with Noisy Labels'☆38Updated 6 years ago
- ☆14Updated 2 years ago
- ☆28Updated 3 years ago
- Learning with Instance-Dependent Label Noise: A Sample Sieve Approach (ICLR2021)☆37Updated 4 years ago
- [NeurIPS 2017] [ICML 2019] Code for complementary-label learning☆48Updated last year
- ☆17Updated last month
- (L2ID@CVPR2021, TNNLS2022) Boosting Co-teaching with Compression Regularization for Label Noise☆48Updated 2 years ago
- ICLR‘2021: Robust Early-learning: Hindering the Memorization of Noisy Labels☆76Updated 4 years ago
- pytorch implementation of ABC : Auxiliary Balanced Classifier for Class-imbalanced Semi-supervised Learning☆38Updated 7 months ago
- The official code for the NeurIPS 2021 paper Generalized Jensen-Shannon Divergence Loss for Learning with Noisy Labels (https://arxiv.org…☆22Updated 3 years ago
- [ICLR 2021] Heteroskedastic and Imbalanced Deep Learning with Adaptive Regularization☆41Updated 4 years ago
- ☆29Updated 2 years ago
- Code for CVPR2020 ‘Training Noise Robust Deep Neural Networks via Meta-Learning’☆20Updated 4 years ago
- CVPR2021: Out-of-Distribution Detection Using Union of 1-Dimensional Subspaces☆22Updated 3 years ago
- AAAI 2021: Beyond Class-Conditional Assumption: A Primary Attempt to Combat Instance-Dependent Label Noise☆35Updated 4 years ago
- CVPR 2022: Selective-Supervised Contrastive Learning with Noisy Labels☆93Updated 3 years ago
- Domain Generalization via Gradient Surgery☆50Updated 3 years ago
- Official code for the paper "Meta Soft Label Generation for Noisy Labels" accepted at ICPR 2020.☆19Updated 4 years ago
- Code for NeurIPS 2021 paper "ReAct: Out-of-distribution Detection With Rectified Activations"☆53Updated 3 years ago
- Code for the paper "Distribution Aligning Refinery of Pseudo-label for Imbalanced Semi-supervised Learning" (NeurIPS 20)☆73Updated 2 years ago
- Code for CoMatch: Semi-supervised Learning with Contrastive Graph Regularization☆127Updated last month
- ☆44Updated 3 years ago
- Tensorflow Implementation on Paper [AAAI2020]Semi-Supervised Learning under Class Distribution Mismatch☆15Updated 4 years ago
- A pytorch implementation for "Neighborhood Collective Estimation for Noisy Label Identification and Correction", which is accepted by ECC…☆25Updated 2 years ago
- ☆61Updated 3 years ago
- "Maximum-Entropy Adversarial Data Augmentation for Improved Generalization and Robustness" (NeurIPS 2020).☆50Updated 4 years ago
- Code for "Multi-Task Curriculum Framework for Open-Set Semi-Supervised Learning"☆24Updated 4 years ago
- Code for our ECCV paper -- "Learning to Balance Specificity and Invariance for In and Out of Domain Generalization"☆56Updated 4 years ago