a5507203 / dual-t-reducing-estimation-error-for-transition-matrix-in-label-noise-learning
☆12Updated last year
Related projects ⓘ
Alternatives and complementary repositories for dual-t-reducing-estimation-error-for-transition-matrix-in-label-noise-learning
- ICLR‘2021: Robust Early-learning: Hindering the Memorization of Noisy Labels☆75Updated 3 years ago
- ☆12Updated 3 years ago
- A new code framework that uses pytorch to implement meta-learning, and takes Meta-Weight-Net as an example.☆56Updated 3 years ago
- ☆15Updated 11 months ago
- FedUL: Federated Learning from Only Unlabeled Data with Class-Conditional-Sharing Clients☆33Updated last year
- A pytorch implementation for "Neighborhood Collective Estimation for Noisy Label Identification and Correction", which is accepted by ECC…☆24Updated last year
- Learning with Instance-Dependent Label Noise: A Sample Sieve Approach (ICLR2021)☆36Updated 3 years ago
- Benchmark for federated noisy label learning☆19Updated 2 months ago
- NeurIPS 2021, "Fine Samples for Learning with Noisy Labels"☆38Updated 2 years ago
- Code release for Catastrophic Forgetting Meets Negative Transfer: Batch Spectral Shrinkage for Safe Transfer Learning (NeurIPS 2019)☆24Updated 2 years ago
- Code for CVPR 2023 Robust Generalization against Photon-Limited Corruptions via Worst-Case Sharpness Minimization☆11Updated last year
- ☆14Updated last year
- ☆42Updated 2 years ago
- Official implementation of "Open-set Label Noise Can Improve Robustness Against Inherent Label Noise" (NeurIPS 2021)☆19Updated 2 years ago
- translation of VHL repo in paddle☆25Updated last year
- [KDD2021] Federated Adversarial Debiasing for Fair and Transferable Representations: Optimize an adversarial domain-adaptation objective …☆26Updated last year
- ☆58Updated 2 years ago
- TPAMI: Classification with noisy labels by importance reweighting.☆39Updated 5 years ago
- ☆48Updated 2 years ago
- Code for CVPR2020 ‘Training Noise Robust Deep Neural Networks via Meta-Learning’☆20Updated 4 years ago
- ☆25Updated last year
- ☆29Updated last year
- source code for NeurIPS21 paper robabilistic Margins for Instance Reweighting in Adversarial Training☆10Updated 2 years ago
- ☆24Updated last year
- AFEC: Active Forgetting of Negative Transfer in Continual Learning (NeurIPS 2021)☆23Updated last year
- NeurIPS'2020: Part-dependent Label Noise: Towards Instance-dependent Label Noise☆59Updated 3 years ago
- Code for "Multi-Task Curriculum Framework for Open-Set Semi-Supervised Learning"☆23Updated 4 years ago
- CVPR 2022: FedCorr: Multi-Stage Federated Learning for Label Noise Correction☆35Updated 8 months ago
- Code Release for Learning to Adapt to Evolving Domains☆30Updated 3 years ago
- AAAI 2021: Beyond Class-Conditional Assumption: A Primary Attempt to Combat Instance-Dependent Label Noise☆35Updated 3 years ago