naver-ai / cgl_fairness
☆14Updated last year
Alternatives and similar repositories for cgl_fairness:
Users that are interested in cgl_fairness are comparing it to the libraries listed below
- Learning from Failure: Training Debiased Classifier from Biased Classifier (NeurIPS 2020)☆89Updated 4 years ago
- Official implementation of BPA (CVPR 2022)☆12Updated 2 years ago
- Official code of "Discover and Mitigate Unknown Biases with Debiasing Alternate Networks" (ECCV 2022)☆23Updated last year
- Official implementation of paper 'Fair Feature Distillation for Visual Recognition'☆14Updated 3 years ago
- The repository for the official Biased Action Recognition (BAR) dataset for the paper Learning from Failure: Training Debiased Classifier…☆30Updated 4 years ago
- [ICLR 2021 Spotlight Oral] "Undistillable: Making A Nasty Teacher That CANNOT teach students", Haoyu Ma, Tianlong Chen, Ting-Kuei Hu, Che…☆81Updated 3 years ago
- [ICCV 2019] Balanced Datasets Are Not Enough: Estimating and Mitigating Gender Bias in Deep Image Representations☆32Updated 3 years ago
- CVPR2022☆27Updated 10 months ago
- ☆21Updated 2 years ago
- Code for the paper "A Whac-A-Mole Dilemma Shortcuts Come in Multiples Where Mitigating One Amplifies Others"☆47Updated 6 months ago
- Robust Contrastive Learning Using Negative Samples with Diminished Semantics (NeurIPS 2021)☆38Updated 3 years ago
- ☆29Updated 2 years ago
- Official PyTorch implementation of MIRO (ECCV 2022)☆86Updated 2 years ago
- ☆21Updated 2 years ago
- Consistency Regularization for Adversarial Robustness (AAAI 2022)☆52Updated 3 years ago
- Official Pytorch implementation of "Learning Debiased Representation via Disentangled Feature Augmentation (Neurips 2021, Oral)"☆101Updated last year
- ☆47Updated last year
- ☆29Updated 2 years ago
- Fair Attribute Classification through Latent Space De-biasing (CVPR 2021)☆72Updated 3 years ago
- PyTorch implementation of Self-supervised Contrastive Regularization for DG (SelfReg) [ICCV2021]☆76Updated 2 years ago
- [NeurIPS 2021] “When does Contrastive Learning Preserve Adversarial Robustness from Pretraining to Finetuning?”☆48Updated 3 years ago
- Code for Debiasing Vision-Language Models via Biased Prompts☆54Updated last year
- LISA for ICML 2022☆47Updated last year
- ☆29Updated last year
- ☆29Updated 2 years ago
- Official PyTorch implementation of paper: "Revisiting the Importance of Amplifying Bias for Debiasing" (AAAI 2023)☆19Updated 2 years ago
- ☆73Updated 4 years ago
- "Maximum-Entropy Adversarial Data Augmentation for Improved Generalization and Robustness" (NeurIPS 2020).☆50Updated 4 years ago
- ☆24Updated last year
- (NeurIPS 2020 Workshop on SSL) Official Implementation of "MixCo: Mix-up Contrastive Learning for Visual Representation"☆58Updated 2 years ago