YU1ut / JointOptimizationLinks
Code for 'Joint Optimization Framework for Learning with Noisy Labels'
☆38Updated 7 years ago
Alternatives and similar repositories for JointOptimization
Users that are interested in JointOptimization are comparing it to the libraries listed below
Sorting:
- NLNL: Negative Learning for Noisy Labels☆104Updated 5 years ago
- Official implementation for: "Multi-Objective Interpolation Training for Robustness to Label Noise"☆41Updated 3 years ago
- This is the repo for the paper "Episodic Training for Domain Generalization" https://arxiv.org/abs/1902.00113☆57Updated 2 years ago
- Code release for Unsupervised Domain Adaptation via Structurally Regularized Deep Clustering (CVPR2020-Oral).☆82Updated 3 years ago
- Code of Gradually Vanishing Bridge for Adversarial Domain Adaptation (CVPR2020)☆80Updated 2 years ago
- Code release for "Transferable Normalization: Towards Improving Transferability of Deep Neural Networks" (NeurIPS 2019)☆79Updated 4 years ago
- CVPR'20: Combating Noisy Labels by Agreement: A Joint Training Method with Co-Regularization☆127Updated 2 years ago
- Codes for UODTN; Open domain recognition; CVPR19☆45Updated 4 years ago
- ICML'19 How does Disagreement Help Generalization against Label Corruption?☆89Updated 6 years ago
- PyTorch implementation of Weighted Batch-Normalization layers☆37Updated 5 years ago
- [CVPR 2020] Adversarial Robustness: From Self-Supervised Pre-Training to Fine-Tuning☆85Updated 3 years ago
- PyTorch implementation of Probabilistic End-to-end Noise Correction for Learning with Noisy Labels, CVPR 2019.☆140Updated 6 years ago
- Meta-Learning based Noise-Tolerant Training☆124Updated 5 years ago
- A2LP for short, ECCV2020 spotlight, Investigating SSL principles for UDA problems☆20Updated 4 years ago
- The Pytorch implementation for "Learning to Learn Single Domain Generalization" (CVPR 2020)☆148Updated 5 years ago
- ICLR 2021, "Learning with feature-dependent label noise: a progressive approach"☆44Updated 2 years ago
- "Learning to Discover Novel Visual Categories via Deep Transfer Clustering" by Kai Han, Andrea Vedaldi, Andrew Zisserman (ICCV 2019)☆168Updated 3 years ago
- ☆28Updated 3 years ago
- Implementation of Adversarial Domain Adaptation with Domain Mixup (AAAI 2020 Oral).☆162Updated 5 years ago
- self-supervised domain adaptation☆48Updated 5 years ago
- [NeurIPS 2017] [ICML 2019] Code for complementary-label learning☆49Updated 2 months ago
- [CVPR 2020] Rethinking Class-Balanced Methods for Long-Tailed Visual Recognition from a Domain Adaptation Perspective☆24Updated 5 years ago
- LaSO: Label-Set Operations networks for multi-label few-shot learning - official implementation☆89Updated last year
- ☆108Updated 3 years ago
- PyTorch reimplementation of Moving Semantic Transfer Network☆36Updated 6 years ago
- Code for paper "Unsupervised Domain Adaptation using Feature-Whitening and Consensus Loss" (CVPR 2019)☆64Updated 4 years ago
- Pytorch implementation for "Open Compound Domain Adaptation" (CVPR 2020 ORAL)☆140Updated 4 years ago
- Domain agnostic learning with disentangled representations☆147Updated 5 years ago
- Unsupervised Domain Adaptation through Self-Supervision☆79Updated 4 years ago
- Code release for Transferability vs. Discriminability: Batch Spectral Penalization for Adversarial Domain Adaptation (ICML 2019)☆92Updated 6 years ago