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Improved Distribution Matching for Dataset Condensation

Improved Distribution Matching for Dataset Condensation

19 July 2023
Ganlong Zhao
Guanbin Li
Yipeng Qin
Yizhou Yu
    DD
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Papers citing "Improved Distribution Matching for Dataset Condensation"

15 / 15 papers shown
Title
Leveraging Multi-Modal Information to Enhance Dataset Distillation
Leveraging Multi-Modal Information to Enhance Dataset Distillation
Zhe Li
Hadrien Reynaud
Bernhard Kainz
DD
45
0
0
13 May 2025
Dataset Distillation with Probabilistic Latent Features
Dataset Distillation with Probabilistic Latent Features
Zhe Li
Sarah Cechnicka
Cheng Ouyang
Katharina Breininger
Peter Schüffler
Bernhard Kainz
DD
47
0
0
10 May 2025
Video Dataset Condensation with Diffusion Models
Video Dataset Condensation with Diffusion Models
Zhe Li
Hadrien Reynaud
Mischa Dombrowski
Sarah Cechnicka
Franciskus Xaverius Erick
Bernhard Kainz
DD
VGen
52
0
0
10 May 2025
Emphasizing Discriminative Features for Dataset Distillation in Complex Scenarios
Emphasizing Discriminative Features for Dataset Distillation in Complex Scenarios
Kai Wang
Zekai Li
Zhi-Qi Cheng
Samir Khaki
A. Sajedi
Ramakrishna Vedantam
Konstantinos N. Plataniotis
Alexander G. Hauptmann
Yang You
DD
70
4
0
22 Oct 2024
Teddy: Efficient Large-Scale Dataset Distillation via
  Taylor-Approximated Matching
Teddy: Efficient Large-Scale Dataset Distillation via Taylor-Approximated Matching
Ruonan Yu
Songhua Liu
Jingwen Ye
Xinchao Wang
DD
37
4
0
10 Oct 2024
Towards Model-Agnostic Dataset Condensation by Heterogeneous Models
Towards Model-Agnostic Dataset Condensation by Heterogeneous Models
Jun-Yeong Moon
Jung Uk Kim
Gyeong-Moon Park
DD
33
1
0
22 Sep 2024
Distilling Long-tailed Datasets
Distilling Long-tailed Datasets
Zhenghao Zhao
Haoxuan Wang
Yuzhang Shang
Kai Wang
Yan Yan
DD
48
2
0
24 Aug 2024
GIFT: Unlocking Full Potential of Labels in Distilled Dataset at Near-zero Cost
GIFT: Unlocking Full Potential of Labels in Distilled Dataset at Near-zero Cost
Xinyi Shang
Peng Sun
Tao Lin
50
2
0
23 May 2024
ATOM: Attention Mixer for Efficient Dataset Distillation
ATOM: Attention Mixer for Efficient Dataset Distillation
Samir Khaki
A. Sajedi
Kai Wang
Lucy Z. Liu
Y. Lawryshyn
Konstantinos N. Plataniotis
50
3
0
02 May 2024
Group Distributionally Robust Dataset Distillation with Risk Minimization
Group Distributionally Robust Dataset Distillation with Risk Minimization
Saeed Vahidian
Mingyu Wang
Jianyang Gu
Vyacheslav Kungurtsev
Wei Jiang
Yiran Chen
OOD
DD
38
6
0
07 Feb 2024
M3D: Dataset Condensation by Minimizing Maximum Mean Discrepancy
M3D: Dataset Condensation by Minimizing Maximum Mean Discrepancy
Hansong Zhang
Shikun Li
Pengju Wang
Dan Zeng
Shiming Ge
DD
19
21
0
26 Dec 2023
Graph Distillation with Eigenbasis Matching
Graph Distillation with Eigenbasis Matching
Yang Liu
Deyu Bo
Chuan Shi
DD
26
9
0
13 Oct 2023
A Comprehensive Survey of Dataset Distillation
A Comprehensive Survey of Dataset Distillation
Shiye Lei
Dacheng Tao
DD
31
87
0
13 Jan 2023
Dataset Condensation via Efficient Synthetic-Data Parameterization
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
Dataset Condensation with Differentiable Siamese Augmentation
Bo-Lu Zhao
Hakan Bilen
DD
205
288
0
16 Feb 2021
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