ResearchTrend.AI
  • Communities
  • Connect sessions
  • AI calendar
  • Organizations
  • Join Slack
  • Contact Sales
Papers
Communities
Social Events
Terms and Conditions
Pricing
Contact Sales
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2026 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2406.05704
  4. Cited By
Hierarchical Features Matter: A Deep Exploration of Progressive Parameterization Method for Dataset Distillation
v1v2v3 (latest)

Hierarchical Features Matter: A Deep Exploration of Progressive Parameterization Method for Dataset Distillation

Computer Vision and Pattern Recognition (CVPR), 2024
9 June 2024
Xinhao Zhong
Hao Fang
Bin Chen
Xulin Gu
Tao Dai
Yijia Zhao
Shu-Tao Xia
    DD
ArXiv (abs)PDFHTML

Papers citing "Hierarchical Features Matter: A Deep Exploration of Progressive Parameterization Method for Dataset Distillation"

9 / 9 papers shown
Title
Diffusion Models as Dataset Distillation Priors
Diffusion Models as Dataset Distillation Priors
Duo Su
Huyu Wu
Huanran Chen
Yiming Shi
Y. Wang
Xi Ye
Jun Zhu
DD
294
0
0
20 Oct 2025
MGD$^3$: Mode-Guided Dataset Distillation using Diffusion Models
MGD3^33: Mode-Guided Dataset Distillation using Diffusion Models
Jeffrey A. Chan-Santiago
Praveen Tirupattur
Gaurav Kumar Nayak
Gaowen Liu
Mubarak Shah
DD
304
3
0
25 May 2025
DD-Ranking: Rethinking the Evaluation of Dataset Distillation
DD-Ranking: Rethinking the Evaluation of Dataset Distillation
Zekai Li
Xinhao Zhong
Samir Khaki
Zhiyuan Liang
Yuhao Zhou
...
Konstantinos N Plataniotis
Zinan Lin
Bo Zhao
Yang You
Kai Wang
DD
596
9
0
19 May 2025
Distilling Dataset into Neural FieldInternational Conference on Learning Representations (ICLR), 2025
DongHyeok Shin
Heesun Bae
Gyuwon Sim
Wanmo Kang
Il-Chul Moon
DD
370
4
0
05 Mar 2025
Editable-DeepSC: Reliable Cross-Modal Semantic Communications for Facial Editing
Editable-DeepSC: Reliable Cross-Modal Semantic Communications for Facial Editing
Bin Chen
Wenbo Yu
Qinshan Zhang
Tianqu Zhuang
Yong Jiang
Shu-Tao Xia
694
1
0
24 Nov 2024
Emphasizing Discriminative Features for Dataset Distillation in Complex Scenarios
Emphasizing Discriminative Features for Dataset Distillation in Complex ScenariosComputer Vision and Pattern Recognition (CVPR), 2024
Kai Wang
Zekai Li
Zhi-Qi Cheng
Samir Khaki
A. Sajedi
Ramakrishna Vedantam
Konstantinos N. Plataniotis
Alexander G. Hauptmann
Yang You
DD
337
11
0
22 Oct 2024
MultiBooth: Towards Generating All Your Concepts in an Image from Text
MultiBooth: Towards Generating All Your Concepts in an Image from Text
Chenyang Zhu
Kai Li
Yue Ma
Chunming He
Li Xiu
DiffM
579
45
0
22 Apr 2024
Unlocking Dataset Distillation with Diffusion Models
Unlocking Dataset Distillation with Diffusion Models
Brian B. Moser
Federico Raue
Sebastián M. Palacio
Stanislav Frolov
Andreas Dengel
DD
554
23
0
06 Mar 2024
DataDAM: Efficient Dataset Distillation with Attention Matching
DataDAM: Efficient Dataset Distillation with Attention MatchingIEEE International Conference on Computer Vision (ICCV), 2023
A. Sajedi
Samir Khaki
Ehsan Amjadian
Lucy Z. Liu
Y. Lawryshyn
Konstantinos N. Plataniotis
DD
805
91
0
29 Sep 2023
1