Official implementation of our paper Towards Trustworthy Dataset Distillation arxiv Pattern Recognition
This is an official PyTorch implementation of "Group Distributionally Robust Dataset Distillation with Risk Minimization".
Official implementation of paper: [Paper](https://arxiv.org/abs/2403.10045) [Code](https://github.com/yumozi/GUARD)[Website](https://yumozi.github.io/GUARD/)
Zheng Zhou 1 Wenquan Feng 1 Qiaosheng Zhang 2 3 Shuchang Lyu 1 Qi Zhao 1 Guangliang Cheng 4
Condensing large datasets into smaller synthetic counterparts has demonstrated its promise for image classification. However, previous research has overlooked a crucial concern in image recognition: ensuring that models trained on condensed datasets are unbiased towards protected attributes…
The main features of zqhang/fairdd are: Robustness and Security.
Open-source alternatives to zqhang/fairdd include: mashijie1028/trustdd — Official implementation of our paper Towards Trustworthy Dataset Distillation [arxiv] [Pattern Recognition]. mming11/robustdatasetdistillation — This is an official PyTorch implementation of "Group Distributionally Robust Dataset Distillation with Risk… yumozi/guard — Official implementation of paper: [[Paper]](https://arxiv.org/abs/2403.10045)… zhouzhengqd/rome — Zheng Zhou 1 Wenquan Feng 1 Qiaosheng Zhang 2 3 Shuchang Lyu 1 Qi Zhao 1 Guangliang…