Group Distributionally Robust Dataset Distillation with Risk Minimization

Group Distributionally Robust Dataset Distillation with Risk Minimization

7 February 2024

Saeed Vahidian

Jianyang Gu

Vyacheslav Kungurtsev

Yiran Chen

Papers citing "Group Distributionally Robust Dataset Distillation with Risk Minimization"

8 / 8 papers shown

Title
FairDD: Fair Dataset Distillation via Synchronized Matching Qihang Zhou Shenhao Fang Shibo He Wenchao Meng Jiming Chen FedML DD 79 1 0 29 Nov 2024
Dataset Distillation from First Principles: Integrating Core Information Extraction and Purposeful Learning Vyacheslav Kungurtsev Yuanfang Peng Jianyang Gu Saeed Vahidian Anthony Quinn Fadwa Idlahcen Yiran Chen FedML DD 50 2 0 02 Sep 2024
Towards Adversarially Robust Dataset Distillation by Curvature Regularization Eric Xue Yijiang Li Haoyang Liu Yifan Shen Haohan Wang Haohan Wang DD 61 8 0 15 Mar 2024
Efficient Dataset Distillation via Minimax Diffusion Jianyang Gu Saeed Vahidian Vyacheslav Kungurtsev Haonan Wang Wei Jiang Yang You Yiran Chen DD 39 27 0 27 Nov 2023
Generalizing Dataset Distillation via Deep Generative Prior George Cazenavette Tongzhou Wang Antonio Torralba Alexei A. Efros Jun-Yan Zhu DD 96 84 0 02 May 2023
DiM: Distilling Dataset into Generative Model Kai Wang Jianyang Gu Daquan Zhou Zheng Hua Zhu Wei Jiang Yang You DD 59 40 0 08 Mar 2023
Dataset Condensation via Efficient Synthetic-Data Parameterization Jang-Hyun Kim Jinuk Kim Seong Joon Oh Sangdoo Yun Hwanjun Song Joonhyun Jeong Jung-Woo Ha Hyun Oh Song DD 401 158 0 30 May 2022
Dataset Condensation with Differentiable Siamese Augmentation Bo-Lu Zhao Hakan Bilen DD 205 288 0 16 Feb 2021