tmllab / 2021_ICCV_Me-Momentum
☆14Updated last year
Related projects: ⓘ
- ☆58Updated 2 years ago
- NeurIPS 2021, "Fine Samples for Learning with Noisy Labels"☆37Updated 2 years ago
- ICLR‘2021: Robust Early-learning: Hindering the Memorization of Noisy Labels☆75Updated 3 years ago
- [CVPR 2020] Rethinking Class-Balanced Methods for Long-Tailed Visual Recognition from a Domain Adaptation Perspective☆24Updated 4 years ago
- A pytorch implementation for "Neighborhood Collective Estimation for Noisy Label Identification and Correction", which is accepted by ECC…☆23Updated last year
- [ECCV 2022] Contrastive Prototypical Network with Wasserstein Confidence Penalty☆10Updated last year
- ☆42Updated 10 months ago
- ☆42Updated 2 years ago
- A PyTorch-based library for On Learning Contrastive Representations for Learning With Noisy Labels (CVPR'22)☆36Updated 2 years ago
- Code for "Multi-Task Curriculum Framework for Open-Set Semi-Supervised Learning"☆23Updated 4 years ago
- ICLR 2021, "Learning with feature-dependent label noise: a progressive approach"☆41Updated last year
- Official implementation for: "Multi-Objective Interpolation Training for Robustness to Label Noise"☆38Updated 2 years ago
- Code for CVPR2020 ‘Training Noise Robust Deep Neural Networks via Meta-Learning’☆20Updated 3 years ago
- Code for the paper: "Trash to Treasure: Harvesting OOD Data with Cross-Modal Matching for Open-Set Semi-Supervised Learning"☆24Updated 2 years ago
- [WACV'23] Mixture Outlier Exposure for Out-of-Distribution Detection in Fine-grained Environments☆24Updated last year
- CVPR 2022: Selective-Supervised Contrastive Learning with Noisy Labels☆89Updated 2 years ago
- Exploiting Domain-Specific Features to Enhance Domain Generalization (NeurIPS 2021).☆28Updated 2 years ago
- This repository provides code for the paper ---- On Universal Black-Box Domain Adaptation.☆11Updated 3 years ago
- ☆16Updated 2 years ago
- the code for paper "Energy-Based Open-World Uncertainty Modeling for Confidence Calibration"☆41Updated 3 years ago
- ☆17Updated last year
- Domain Generalization via Gradient Surgery☆45Updated 2 years ago
- Probabilistic lifElong Test-time Adaptation with seLf-training prior (PETAL)☆13Updated last year
- Code for NeurIPS 2021 paper "ReAct: Out-of-distribution Detection With Rectified Activations"☆49Updated 2 years ago
- CIFAR-10-Warehouse: Towards Broad and More Realistic Testbeds in Model Generalization Analysis☆16Updated 2 months ago
- Code for "Balanced Knowledge Distillation for Long-tailed Learning"☆26Updated 11 months ago
- Tensorflow Implementation on Paper [AAAI2020]Semi-Supervised Learning under Class Distribution Mismatch☆15Updated 3 years ago
- ☆29Updated last year
- This is a public repository for:☆38Updated 3 years ago
- The official code for the NeurIPS 2021 paper Generalized Jensen-Shannon Divergence Loss for Learning with Noisy Labels (https://arxiv.org…☆21Updated 2 years ago