Breaking Class Barriers: Efficient Dataset Distillation via Inter-Class Feature Compensator

Breaking Class Barriers: Efficient Dataset Distillation via Inter-Class Feature Compensator

13 August 2024

Ping Liu

Joey Tianyi Zhou

Papers citing "Breaking Class Barriers: Efficient Dataset Distillation via Inter-Class Feature Compensator"

7 / 7 papers shown

Title
Diversity-Driven Synthesis: Enhancing Dataset Distillation through Directed Weight Adjustment Jiawei Du Xin Zhang Juncheng Hu Wenxin Huang Joey Tianyi Zhou DD 23 6 0 26 Sep 2024
Exploiting Inter-sample and Inter-feature Relations in Dataset Distillation Wenxiao Deng Wenbin Li Tianyu Ding Lei Wang Hongguang Zhang Kuihua Huang Jing Huo Yang Gao DD 37 14 0 31 Mar 2024
Loss-Curvature Matching for Dataset Selection and Condensation Seung-Jae Shin Heesun Bae DongHyeok Shin Weonyoung Joo Il-Chul Moon DD 30 24 0 08 Mar 2023
Dataset Distillation via Factorization Songhua Liu Kai Wang Xingyi Yang Jingwen Ye Xinchao Wang DD 124 137 0 30 Oct 2022
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 375 155 0 30 May 2022
MLP-Mixer: An all-MLP Architecture for Vision Ilya O. Tolstikhin N. Houlsby Alexander Kolesnikov Lucas Beyer Xiaohua Zhai ... Andreas Steiner Daniel Keysers Jakob Uszkoreit Mario Lucic Alexey Dosovitskiy 239 2,554 0 04 May 2021
Scaling Laws for Neural Language Models Jared Kaplan Sam McCandlish T. Henighan Tom B. Brown B. Chess R. Child Scott Gray Alec Radford Jeff Wu Dario Amodei 220 3,054 0 23 Jan 2020