yuji-roh / fairbatchLinks
FairBatch: Batch Selection for Model Fairness (ICLR 2021)
☆20Updated 2 years ago
Alternatives and similar repositories for fairbatch
Users that are interested in fairbatch are comparing it to the libraries listed below
Sorting:
- Learning from Failure: Training Debiased Classifier from Biased Classifier (NeurIPS 2020)☆92Updated 5 years ago
- ☆37Updated 2 years ago
- Code for "Just Train Twice: Improving Group Robustness without Training Group Information"☆72Updated last year
- [NeurIPS 2020] code for "Boundary thickness and robustness in learning models"☆20Updated 4 years ago
- ☆22Updated 6 years ago
- Pytorch SimCLR on CIFAR10 (92.85% test accuracy)☆58Updated 5 years ago
- Official Pytorch implementation of "Learning Debiased Representation via Disentangled Feature Augmentation (Neurips 2021, Oral)"☆105Updated 2 years ago
- [ICML 2023] Change is Hard: A Closer Look at Subpopulation Shift☆111Updated 2 years ago
- A reproduced PyTorch implementation of the Adversarially Reweighted Learning (ARL) model, originally presented in "Fairness without Demog…☆20Updated 4 years ago
- Code for Environment Inference for Invariant Learning (ICML 2021 Paper)☆51Updated 4 years ago
- Code for the paper "Adversarial Self-supervised Contrastive Learning" (NeurIPS 2020)☆172Updated 3 years ago
- Implementation of Minimax Pareto Fairness framework☆22Updated 5 years ago
- Official PyTorch implementation of "Loss-Curvature Matching for Dataset Selection and Condensation" (AISTATS 2023)☆22Updated 2 years ago
- Official Pytorch implementation of "Unbiased Classification Through Bias-Contrastive and Bias-Balanced Learning (NeurIPS 2021)☆37Updated 4 years ago
- Build PyTorch CIFAR100 using coarse labels☆39Updated 5 years ago
- This is the code for the paper Bayesian Invariant Risk Minmization of CVPR 2022.☆46Updated 2 years ago
- Official implementation of paper 'Fair Feature Distillation for Visual Recognition'☆17Updated 4 years ago
- [ICLR 2023, Spotlight] Indiscriminate Poisoning Attacks on Unsupervised Contrastive Learning☆32Updated last year
- ☆58Updated 5 years ago
- Consistency Regularization for Adversarial Robustness (AAAI 2022)☆53Updated 3 years ago
- FedUL: Federated Learning from Only Unlabeled Data with Class-Conditional-Sharing Clients☆32Updated 2 years ago
- Implementation of Contrastive Learning with Adversarial Examples☆29Updated 4 years ago
- ☆44Updated 3 weeks ago
- ☆18Updated 3 years ago
- [ICLR 2021] "Robust Overfitting may be mitigated by properly learned smoothening" by Tianlong Chen*, Zhenyu Zhang*, Sijia Liu, Shiyu Chan…☆47Updated 3 years ago
- ☆21Updated 2 years ago
- On the Importance of Gradients for Detecting Distributional Shifts in the Wild☆56Updated 3 years ago
- Certified Removal from Machine Learning Models☆69Updated 4 years ago
- Official implementation of paper Gradient Matching for Domain Generalization☆122Updated 3 years ago
- ☆20Updated 3 years ago