EIDOSLAB / entangling-disentangling-biasLinks
EnD: Entangling and Disentangling deep representations for bias correction | CVPR21 https://doi.org/10.1109/CVPR46437.2021.01330
☆16Updated 4 years ago
Alternatives and similar repositories for entangling-disentangling-bias
Users that are interested in entangling-disentangling-bias are comparing it to the libraries listed below
Sorting:
- Learning from Failure: Training Debiased Classifier from Biased Classifier (NeurIPS 2020)☆92Updated 5 years ago
- The repository for the official Biased Action Recognition (BAR) dataset for the paper Learning from Failure: Training Debiased Classifier…☆34Updated 4 years ago
- ☆72Updated 5 years ago
- Official Pytorch implementation of "Learning Debiased Representation via Disentangled Feature Augmentation (Neurips 2021, Oral)"☆104Updated 2 years ago
- Official code of "Discover and Mitigate Unknown Biases with Debiasing Alternate Networks" (ECCV 2022)☆25Updated 2 years ago
- Official Pytorch implementation of ReBias (Learning De-biased Representations with Biased Representations), ICML 2020☆174Updated last year
- An implementation of "A Simple Framework for Contrastive Learning of Visual Representatoins" SimCLR☆34Updated 4 years ago
- Domain Generalization via Entropy Regularization, NeurIPS'20☆66Updated 4 years ago
- ICLR 2021 i-Mix: A Domain-Agnostic Strategy for Contrastive Representation Learning☆78Updated last year
- Official PyTorch implementation of MIRO (ECCV 2022)☆88Updated 3 years ago
- Confidence-Aware Learning for Deep Neural Networks (ICML2020)☆74Updated 5 years ago
- Pytorch SimCLR on CIFAR10 (92.85% test accuracy)☆58Updated 5 years ago
- Official implementation of paper Gradient Matching for Domain Generalization☆122Updated 3 years ago
- ☆36Updated 4 years ago
- Generalizing to unseen domains via distribution matching☆72Updated 5 years ago
- Code for "Just Train Twice: Improving Group Robustness without Training Group Information"☆72Updated last year
- Official Pytorch implementation of "Unbiased Classification Through Bias-Contrastive and Bias-Balanced Learning (NeurIPS 2021)☆37Updated 4 years ago
- CVPR2022☆27Updated last year
- [NeurIPS 2020] “ Robust Pre-Training by Adversarial Contrastive Learning”, Ziyu Jiang, Tianlong Chen, Ting Chen, Zhangyang Wang☆115Updated 3 years ago
- Code for the paper "Adversarial Self-supervised Contrastive Learning" (NeurIPS 2020)☆172Updated 2 years ago
- This is the official implementation of Self-Challenging Improves Cross-Domain Generalization, ECCV2020☆164Updated 4 years ago
- Official Implementation of SWAD (NeurIPS 2021)☆169Updated 2 years ago
- Description Code for the paper "Robust Inference via Generative Classifiers for Handling Noisy Labels".☆32Updated 6 years ago
- Official implementation of paper 'Fair Feature Distillation for Visual Recognition'☆17Updated 4 years ago
- NeurIPS 2021, "Fine Samples for Learning with Noisy Labels"☆40Updated 3 years ago
- Pretrained SimCLRv2 models in Pytorch☆105Updated 5 years ago
- [CVPR2019]Learning Not to Learn : An adversarial method to train deep neural networks with biased data☆111Updated 5 years ago
- Code for the paper "M2m: Imbalanced Classification via Major-to-minor Translation" (CVPR 2020)☆95Updated 3 years ago
- ☆109Updated 2 years ago
- Code for the paper "Representational Continuity for Unsupervised Continual Learning" (ICLR 22)☆98Updated 2 years ago