a5507203 / dual-t-reducing-estimation-error-for-transition-matrix-in-label-noise-learningLinks
☆15Updated 2 years ago
Alternatives and similar repositories for dual-t-reducing-estimation-error-for-transition-matrix-in-label-noise-learning
Users that are interested in dual-t-reducing-estimation-error-for-transition-matrix-in-label-noise-learning are comparing it to the libraries listed below
Sorting:
- A new code framework that uses pytorch to implement meta-learning, and takes Meta-Weight-Net as an example.☆62Updated 4 years ago
- ICLR‘2021: Robust Early-learning: Hindering the Memorization of Noisy Labels☆78Updated 4 years ago
- ☆12Updated 4 years ago
- ☆17Updated last year
- Learning with Instance-Dependent Label Noise: A Sample Sieve Approach (ICLR2021)☆38Updated 4 years ago
- Hao-Ning / MEIDTM-Instance-Dependent-Label-Noise-Learning-with-Manifold-Regularized-Transition-Matrix-Estimatiopytorch☆10Updated 3 years ago
- A pytorch implementation for "Neighborhood Collective Estimation for Noisy Label Identification and Correction", which is accepted by ECC…☆26Updated 2 years ago
- [NeurIPS 2022] The official code for our NeurIPS 2022 paper "Inducing Neural Collapse in Imbalanced Learning: Do We Really Need a Learnab…☆45Updated 3 years ago
- ☆27Updated 4 years ago
- ICLR 2021, "Learning with feature-dependent label noise: a progressive approach"☆44Updated 2 years ago
- Code for our paper: Samuel and Chechik, "Distributional Robustness Loss for Long-tail Learning"☆32Updated 3 years ago
- ☆14Updated 2 years ago
- CVPR 2022: Selective-Supervised Contrastive Learning with Noisy Labels☆95Updated 3 years ago
- Here is the official implementation of the model KD3A in paper "KD3A: Unsupervised Multi-Source Decentralized Domain Adaptation via Knowl…☆118Updated 3 years ago
- ☆10Updated 3 years ago
- NeurIPS 2021, "Fine Samples for Learning with Noisy Labels"☆40Updated 3 years ago
- Source code for NeurIPS 2022 paper SoLar☆29Updated last year
- Official implementation for "Partial and Asymmetric Contrastive Learning for Out-of-Distribution Detection in Long-Tailed Recognition" (I…☆43Updated 2 years ago
- [NeurIPS 2017] [ICML 2019] Code for complementary-label learning☆49Updated 2 months ago
- Code release for Catastrophic Forgetting Meets Negative Transfer: Batch Spectral Shrinkage for Safe Transfer Learning (NeurIPS 2019)☆24Updated 3 years ago
- On the Importance of Gradients for Detecting Distributional Shifts in the Wild☆56Updated 3 years ago
- This is the code for the paper Bayesian Invariant Risk Minmization of CVPR 2022.☆46Updated 2 years ago
- ☆49Updated 2 years ago
- The Official Repository for CVPR2023 Paper "NICO++: Towards Better Benchmarking for Domain Generalization".☆42Updated 2 years ago
- NeurIPS'2020: Part-dependent Label Noise: Towards Instance-dependent Label Noise☆61Updated 4 years ago
- NeurIPS'2019: Are Anchor Points Really Indispensable in Label-Noise Learning?☆100Updated 4 years ago
- ☆19Updated 3 years ago
- FedUL: Federated Learning from Only Unlabeled Data with Class-Conditional-Sharing Clients☆32Updated 2 years ago
- Analysis of evidential models☆14Updated 2 years ago
- [ICLR 2022] Official Code Repository for "TRGP: TRUST REGION GRADIENT PROJECTION FOR CONTINUAL LEARNING"☆21Updated 3 years ago