mingkai-zheng / WCLLinks
Weakly Supervised Contrastive Learning
☆45Updated 4 years ago
Alternatives and similar repositories for WCL
Users that are interested in WCL are comparing it to the libraries listed below
Sorting:
- CVPR 2022, Robust Contrastive Learning against Noisy Views☆84Updated 4 years ago
- Code release of paper Debiased Self-Training for Semi-Supervised Learning (NeurIPS 2022 Oral)☆53Updated 3 years ago
- Code for CoMatch: Semi-supervised Learning with Contrastive Graph Regularization☆129Updated 8 months ago
- [ICML 2022] RankSim: Ranking Similarity Regularization for Deep Imbalanced Regression☆54Updated 3 years ago
- [CVPR 2022 Oral] Rethinking Minimal Sufficient Representation in Contrastive Learning☆70Updated 2 years ago
- MetaMix for ICML 2021☆27Updated 4 years ago
- CVPR 2022: Selective-Supervised Contrastive Learning with Noisy Labels☆95Updated 3 years ago
- Implementation of Multi-View Information Bottleneck☆136Updated 5 years ago
- Official code for the CVPR 2021 paper "FixBi: Bridging Domain Spaces for Unsupervised Domain Adaptation"☆65Updated 4 years ago
- Code and results accompanying our paper titled Domain Adaptation under Open Set Label Shift☆32Updated 3 years ago
- [ECCV 2022] Multi-Domain Long-Tailed Recognition, Imbalanced Domain Generalization, and Beyond☆141Updated 3 years ago
- PyTorch implementation of the paper "Trustworthy Long-Tailed Classification" (CVPR 2022)☆61Updated 2 years ago
- Official implementation for "Partial and Asymmetric Contrastive Learning for Out-of-Distribution Detection in Long-Tailed Recognition" (I…☆42Updated 2 years ago
- The Official Repository for CVPR2023 Paper "NICO++: Towards Better Benchmarking for Domain Generalization".☆42Updated 2 years ago
- Code Release for "Self-supervised Learning is More Robust to Dataset Imbalance"☆39Updated 3 years ago
- ICLR 2021 i-Mix: A Domain-Agnostic Strategy for Contrastive Representation Learning☆80Updated 2 years ago
- GitHub repository for KDD 2021 work: ProtoPShare: Prototypical Parts Sharing for Similarity Discovery in Interpretable Image Classificati…☆14Updated 4 years ago
- PyTorch implementation of the paper "SuperLoss: A Generic Loss for Robust Curriculum Learning" in NIPS 2020.☆29Updated 5 years ago
- Source code for NeurIPS 2022 paper SoLar☆30Updated 2 years ago
- Learning Representations that Support Robust Transfer of Predictors☆20Updated 4 years ago
- Code for the ICLR2022 paper on Subspace Regularization for few-shot class incremental image classification☆30Updated 2 years ago
- Official Pytorch implementation of "Learning Debiased Representation via Disentangled Feature Augmentation (Neurips 2021, Oral)"☆105Updated 2 years ago
- Code for the paper "Distribution Aligning Refinery of Pseudo-label for Imbalanced Semi-supervised Learning" (NeurIPS 20)☆75Updated 3 years ago
- [ICML 2022]Source code for "A Closer Look at Smoothness in Domain Adversarial Training",☆72Updated last year
- PyTorch code for the paper "Curriculum Graph Co-Teaching for Multi-target Domain Adaptation" (CVPR2021)☆105Updated 4 years ago
- Code release for "Cycle Self-Training for Domain Adaptation" (NeurIPS 2021)☆53Updated 4 years ago
- [ICML 2022] Generalizing to Evolving Domains with Latent Structure-Aware Sequential Autoencoder☆24Updated last year
- Code for "Interpretable image classification with differentiable prototypes assignment", ECCV 2022☆28Updated 3 years ago
- This is a code repository for paper OODformer: Out-Of-Distribution Detection Transformer☆41Updated 4 years ago
- A PyTorch implementation of the Variational approach for PU learning☆32Updated 5 years ago