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MIM4DD: Mutual Information Maximization for Dataset Distillation

MIM4DD: Mutual Information Maximization for Dataset Distillation

27 December 2023
Yuzhang Shang
Zhihang Yuan
Yan Yan
    DD
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Papers citing "MIM4DD: Mutual Information Maximization for Dataset Distillation"

11 / 11 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
37
0
0
13 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
47
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
62
4
0
22 Oct 2024
MetaDD: Boosting Dataset Distillation with Neural Network
  Architecture-Invariant Generalization
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
29
1
0
07 Oct 2024
Diversity-Driven Synthesis: Enhancing Dataset Distillation through
  Directed Weight Adjustment
Diversity-Driven Synthesis: Enhancing Dataset Distillation through Directed Weight Adjustment
Jiawei Du
Xin Zhang
Juncheng Hu
Wenxin Huang
Joey Tianyi Zhou
DD
31
6
0
26 Sep 2024
Data-Efficient Generation for Dataset Distillation
Data-Efficient Generation for Dataset Distillation
Zhe Li
Weitong Zhang
Sarah Cechnicka
Bernhard Kainz
DD
32
0
0
05 Sep 2024
Dataset Distillation from First Principles: Integrating Core Information
  Extraction and Purposeful Learning
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
33
2
0
02 Sep 2024
Distilling Long-tailed Datasets
Distilling Long-tailed Datasets
Zhenghao Zhao
Haoxuan Wang
Yuzhang Shang
Kai Wang
Yan Yan
DD
46
2
0
24 Aug 2024
Dataset Quantization with Active Learning based Adaptive Sampling
Dataset Quantization with Active Learning based Adaptive Sampling
Zhenghao Zhao
Yuzhang Shang
Junyi Wu
Yan Yan
DD
37
4
0
09 Jul 2024
BACON: Bayesian Optimal Condensation Framework for Dataset Distillation
BACON: Bayesian Optimal Condensation Framework for Dataset Distillation
Zheng Zhou
Hong Zhao
Guangliang Cheng
Xiangtai Li
Shuchang Lyu
Wenquan Feng
Qi Zhao
DD
47
0
0
03 Jun 2024
Dataset Condensation with Differentiable Siamese Augmentation
Dataset Condensation with Differentiable Siamese Augmentation
Bo-Lu Zhao
Hakan Bilen
DD
192
288
0
16 Feb 2021
1