Multisize Dataset Condensation

Multisize Dataset Condensation

10 March 2024

Ivor Tsang

Papers citing "Multisize Dataset Condensation"

19 / 19 papers shown

Title
Training-Free Dataset Pruning for Instance Segmentation Yalun Dai Lingao Xiao Ivor W. Tsang Yang He ISeg 48 0 0 02 Mar 2025
Dataset Distillation via Committee Voting Jiacheng Cui Zhaoyi Li Xiaochen Ma Xinyue Bi Yaxin Luo Zhiqiang Shen DD FedML 51 1 0 13 Jan 2025
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
Are Large-scale Soft Labels Necessary for Large-scale Dataset Distillation? Lingao Xiao Yang He DD 32 5 0 21 Oct 2024
MetaDD: Boosting Dataset Distillation with Neural Network Architecture-Invariant Generalization Yunlong Zhao Xiaoheng Deng Xiu Su Hongyan Xu Xiuxing Li Yijing Liu Shan You FedML DD 31 1 0 07 Oct 2024
Data Pruning via Separability, Integrity, and Model Uncertainty-Aware Importance Sampling Steven Grosz Rui Zhao Rajeev Ranjan Hongcheng Wang Manoj Aggarwal Gérard Medioni Anil Jain VLM 29 0 0 20 Sep 2024
ATOM: Attention Mixer for Efficient Dataset Distillation Samir Khaki A. Sajedi Kai Wang Lucy Z. Liu Y. Lawryshyn Konstantinos N. Plataniotis 47 3 0 02 May 2024
On the Diversity and Realism of Distilled Dataset: An Efficient Dataset Distillation Paradigm Peng Sun Bei Shi Daiwei Yu Tao Lin DD 17 37 0 06 Dec 2023
Spanning Training Progress: Temporal Dual-Depth Scoring (TDDS) for Enhanced Dataset Pruning Xin Zhang Jiawei Du Yunsong Li Weiying Xie Qiufeng Wang 37 7 0 22 Nov 2023
Generalizing Dataset Distillation via Deep Generative Prior George Cazenavette Tongzhou Wang Antonio Torralba Alexei A. Efros Jun-Yan Zhu DD 91 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 53 40 0 08 Mar 2023
Loss-Curvature Matching for Dataset Selection and Condensation Seung-Jae Shin Heesun Bae DongHyeok Shin Weonyoung Joo Il-Chul Moon DD 49 24 0 08 Mar 2023
Efficient On-device Training via Gradient Filtering Yuedong Yang Guihong Li R. Marculescu 31 18 0 01 Jan 2023
Dataset Distillation via Factorization Songhua Liu Kai Wang Xingyi Yang Jingwen Ye Xinchao Wang DD 126 141 0 30 Oct 2022
Efficient Dataset Distillation Using Random Feature Approximation Noel Loo Ramin Hasani Alexander Amini Daniela Rus DD 71 95 0 21 Oct 2022
Dataset Distillation Using Parameter Pruning Guang Li Ren Togo Takahiro Ogawa Miki Haseyama DD 42 20 0 29 Sep 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 393 158 0 30 May 2022
Dataset Condensation with Differentiable Siamese Augmentation Bo-Lu Zhao Hakan Bilen DD 199 288 0 16 Feb 2021
Densely Connected Convolutional Networks Gao Huang Zhuang Liu L. V. D. van der Maaten Kilian Q. Weinberger PINN 3DV 264 36,371 0 25 Aug 2016