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Delving into Effective Gradient Matching for Dataset Condensation

Delving into Effective Gradient Matching for Dataset Condensation

30 July 2022
Zixuan Jiang
Jiaqi Gu
Mingjie Liu
David Z. Pan
    DD
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Papers citing "Delving into Effective Gradient Matching for Dataset Condensation"

11 / 11 papers shown
Title
m-KAILIN: Knowledge-Driven Agentic Scientific Corpus Distillation Framework for Biomedical Large Language Models Training
m-KAILIN: Knowledge-Driven Agentic Scientific Corpus Distillation Framework for Biomedical Large Language Models Training
Meng Xiao
Xunxin Cai
Chengrui Wang
Yuanchun Zhou
50
0
0
28 Apr 2025
On Learning Representations for Tabular Data Distillation
On Learning Representations for Tabular Data Distillation
Inwon Kang
Parikshit Ram
Yi Zhou
Horst Samulowitz
Oshani Seneviratne
DD
73
0
0
23 Jan 2025
Unleashing the Power of Data Tsunami: A Comprehensive Survey on Data Assessment and Selection for Instruction Tuning of Language Models
Unleashing the Power of Data Tsunami: A Comprehensive Survey on Data Assessment and Selection for Instruction Tuning of Language Models
Yulei Qin
Yuncheng Yang
Pengcheng Guo
Gang Li
Hang Shao
Yuchen Shi
Zihan Xu
Yun Gu
Ke Li
Xing Sun
ALM
96
12
0
31 Dec 2024
Breaking Class Barriers: Efficient Dataset Distillation via Inter-Class Feature Compensator
Breaking Class Barriers: Efficient Dataset Distillation via Inter-Class Feature Compensator
Xin Zhang
Jiawei Du
Ping Liu
Joey Tianyi Zhou
DD
63
2
0
13 Aug 2024
DDFAD: Dataset Distillation Framework for Audio Data
DDFAD: Dataset Distillation Framework for Audio Data
Wenbo Jiang
Rui Zhang
Hongwei Li
Xiaoyuan Liu
Haomiao Yang
Shui Yu
DD
42
2
0
15 Jul 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
24
22
0
26 Dec 2023
Towards Efficient Deep Hashing Retrieval: Condensing Your Data via Feature-Embedding Matching
Towards Efficient Deep Hashing Retrieval: Condensing Your Data via Feature-Embedding Matching
Tao Feng
Jie Zhang
Peizheng Wang
Zhijie Wang
Shengyuan Pang
DD
53
0
0
29 May 2023
Dataset Distillation: A Comprehensive Review
Dataset Distillation: A Comprehensive Review
Ruonan Yu
Songhua Liu
Xinchao Wang
DD
55
121
0
17 Jan 2023
A Comprehensive Survey of Dataset Distillation
A Comprehensive Survey of Dataset Distillation
Shiye Lei
Dacheng Tao
DD
47
88
0
13 Jan 2023
Accelerating Dataset Distillation via Model Augmentation
Accelerating Dataset Distillation via Model Augmentation
Lei Zhang
Jie M. Zhang
Bowen Lei
Subhabrata Mukherjee
Xiang Pan
Bo Zhao
Caiwen Ding
Heng Chang
Dongkuan Xu
DD
45
62
0
12 Dec 2022
Dataset Condensation with Differentiable Siamese Augmentation
Dataset Condensation with Differentiable Siamese Augmentation
Bo Zhao
Hakan Bilen
DD
205
291
0
16 Feb 2021
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