pxiangwu / TopoFilter
NeurIPS 2020, "A Topological Filter for Learning with Label Noise".
☆29Updated last year
Related projects: ⓘ
- [ICLR 2021] Heteroskedastic and Imbalanced Deep Learning with Adaptive Regularization☆40Updated 3 years ago
- Code Release for Learning to Adapt to Evolving Domains☆30Updated 3 years ago
- Learning Representations that Support Robust Transfer of Predictors☆20Updated 2 years ago
- This repository is the official implementation of Unleashing the Power of Contrastive Self-Supervised Visual Models via Contrast-Regulari…☆21Updated last year
- ☆29Updated last year
- NeurIPS 2021, "Fine Samples for Learning with Noisy Labels"☆37Updated 2 years ago
- Sinkhorn Label Allocation is a label assignment method for semi-supervised self-training algorithms. The SLA algorithm is described in fu…☆53Updated 3 years ago
- Official PyTorch implementation of the Fishr regularization for out-of-distribution generalization☆81Updated 2 years ago
- [NeurIPS 2021] “Improving Contrastive Learning on Imbalanced Data via Open-World Sampling”, Ziyu Jiang, Tianlong Chen, Ting Chen, Zhangya…☆27Updated 2 years ago
- LISA for ICML 2022☆47Updated last year
- [NeurIPS 2017] [ICML 2019] Code for complementary-label learning☆44Updated 7 months ago
- Official implementation for "Partial and Asymmetric Contrastive Learning for Out-of-Distribution Detection in Long-Tailed Recognition" (I…☆38Updated last year
- ICML'20: SIGUA: Forgetting May Make Learning with Noisy Labels More Robust☆13Updated 3 years ago
- ☆16Updated 2 years ago
- Code release for Catastrophic Forgetting Meets Negative Transfer: Batch Spectral Shrinkage for Safe Transfer Learning (NeurIPS 2019)☆24Updated 2 years ago
- SOTA work about out-of-distribution detection☆12Updated 3 years ago
- [ICASSP 2020] Code release of paper 'Heterogeneous Domain Generalization via Domain Mixup'☆24Updated 4 years ago
- Repo for the paper: "Agree to Disagree: Diversity through Disagreement for Better Transferability"☆34Updated last year
- Code Release for "Self-supervised Learning is More Robust to Dataset Imbalance"☆36Updated 2 years ago
- PyTorch implementation of the paper "SuperLoss: A Generic Loss for Robust Curriculum Learning" in NIPS 2020.☆30Updated 3 years ago
- The Official Repository for CVPR2023 Paper "NICO++: Towards Better Benchmarking for Domain Generalization".☆33Updated last year
- ☆35Updated 3 years ago
- Code for the article "Confidence Scores Make Instance-dependent Label-noise Learning Possible", ICML'21☆9Updated 3 weeks ago
- Code for CVPR2021 paper: MOOD: Multi-level Out-of-distribution Detection☆38Updated last year
- ☆43Updated 2 years ago
- ICLR 2021, "Learning with feature-dependent label noise: a progressive approach"☆41Updated last year
- ☆21Updated 2 years ago
- Background resampling for out-of-distribution detection☆13Updated 4 years ago
- This is a code repository for paper OODformer: Out-Of-Distribution Detection Transformer☆38Updated 2 years ago
- Code for "Out-of-Distribution Detection Using an Ensemble of Self Supervised Leave-out Classifiers"☆27Updated 2 years ago