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. 2312.03526
  4. Cited By
On the Diversity and Realism of Distilled Dataset: An Efficient Dataset
  Distillation Paradigm
v1v2 (latest)

On the Diversity and Realism of Distilled Dataset: An Efficient Dataset Distillation Paradigm

6 December 2023
Peng Sun
Bei Shi
Daiwei Yu
Tao Lin
    DD
ArXiv (abs)PDFHTML

Papers citing "On the Diversity and Realism of Distilled Dataset: An Efficient Dataset Distillation Paradigm"

38 / 38 papers shown
Title
CoDA: From Text-to-Image Diffusion Models to Training-Free Dataset Distillation
CoDA: From Text-to-Image Diffusion Models to Training-Free Dataset Distillation
Letian Zhou
Songhua Liu
Xinchao Wang
124
0
0
03 Dec 2025
Optimizing Distributional Geometry Alignment with Optimal Transport for Generative Dataset Distillation
Optimizing Distributional Geometry Alignment with Optimal Transport for Generative Dataset Distillation
Xiao Cui
Yulei Qin
Wengang Zhou
Hongsheng Li
Houqiang Li
DDOT
188
1
0
29 Nov 2025
VideoCompressa: Data-Efficient Video Understanding via Joint Temporal Compression and Spatial Reconstruction
VideoCompressa: Data-Efficient Video Understanding via Joint Temporal Compression and Spatial Reconstruction
Shaobo Wang
Tianle Niu
Runkang Yang
Deshan Liu
Xu He
Zichen Wen
Conghui He
Xuming Hu
Linfeng Zhang
VGen
186
0
0
24 Nov 2025
Learning from Dense Events: Towards Fast Spiking Neural Networks Training via Event Dataset Distillation
Learning from Dense Events: Towards Fast Spiking Neural Networks Training via Event Dataset Distillation
Shuhan Ye
Yi Yu
Qixin Zhang
Chenqi Kong
Qiangqiang Wu
Kun Wang
Xudong Jiang
140
0
0
15 Nov 2025
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
Improving Clinical Dataset Condensation with Mode Connectivity-based Trajectory Surrogates
Improving Clinical Dataset Condensation with Mode Connectivity-based Trajectory Surrogates
Pafue Christy Nganjimi
A. Soltan
Danielle Belgrave
Lei A. Clifton
David Clifton
A. Thakur
DDAI4CE
228
0
0
07 Oct 2025
Beyond Random: Automatic Inner-loop Optimization in Dataset Distillation
Beyond Random: Automatic Inner-loop Optimization in Dataset Distillation
Muquan Li
Hang Gou
Dongyang Zhang
Shuang Liang
Xiurui Xie
Deqiang Ouyang
Ke Qin
DD
208
1
0
06 Oct 2025
Learning Robust Diffusion Models from Imprecise Supervision
Learning Robust Diffusion Models from Imprecise Supervision
Dong-Dong Wu
Jiacheng Cui
Wei Wang
Zhiqiang She
Masashi Sugiyama
DiffM
324
0
0
03 Oct 2025
Beyond Pixels: Efficient Dataset Distillation via Sparse Gaussian Representation
Beyond Pixels: Efficient Dataset Distillation via Sparse Gaussian Representation
Chenyang Jiang
Zhengcen Li
Hang Zhao
Qiben Shan
Shaocong Wu
Jingyong Su
DD
220
0
0
30 Sep 2025
Rectified Decoupled Dataset Distillation: A Closer Look for Fair and Comprehensive Evaluation
Rectified Decoupled Dataset Distillation: A Closer Look for Fair and Comprehensive Evaluation
Xinhao Zhong
Shuoyang Sun
Xulin Gu
Chenyang Zhu
Bin Chen
Yaowei Wang
DD
226
0
0
24 Sep 2025
Efficient Multimodal Dataset Distillation via Generative Models
Efficient Multimodal Dataset Distillation via Generative Models
Zhenghao Zhao
Haoxuan Wang
Junyi Wu
Yuzhang Shang
Gaowen Liu
Yan Yan
DD
255
1
0
18 Sep 2025
EDITS: Enhancing Dataset Distillation with Implicit Textual Semantics
EDITS: Enhancing Dataset Distillation with Implicit Textual Semantics
Qianxin Xia
Jiawei Du
Guoming Lu
Zhiyong Shu
Jielei Wang
120
0
0
17 Sep 2025
Enhancing Diffusion-based Dataset Distillation via Adversary-Guided Curriculum Sampling
Enhancing Diffusion-based Dataset Distillation via Adversary-Guided Curriculum Sampling
Lexiao Zou
Gongwei Chen
Yanda Chen
Miao Zhang
DD
217
0
0
02 Aug 2025
Dataset Condensation with Color Compensation
Dataset Condensation with Color Compensation
Huyu Wu
Duo Su
Junjie Hou
Guang Li
DD
378
0
0
02 Aug 2025
Shapley Machine: A Game-Theoretic Framework for N-Agent Ad Hoc Teamwork
Shapley Machine: A Game-Theoretic Framework for N-Agent Ad Hoc Teamwork
Jianhong Wang
Yang Li
Samuel Kaski
Jonathan Lawry
213
0
0
12 Jun 2025
Dynamic-Aware Video Distillation: Optimizing Temporal Resolution Based on Video Semantics
Dynamic-Aware Video Distillation: Optimizing Temporal Resolution Based on Video Semantics
Yinjie Zhao
Heng Zhao
Bihan Wen
Yew-Soon Ong
Joey Tianyi Zhou
VGen
167
1
0
28 May 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
CONCORD: Concept-Informed Diffusion for Dataset Distillation
CONCORD: Concept-Informed Diffusion for Dataset Distillation
Jianyang Gu
Haonan Wang
Ruoxi Jia
Saeed Vahidian
Vyacheslav Kungurtsev
Wei Jiang
Yiran Chen
DiffMDD
1.3K
0
0
23 May 2025
Improving the generalization of gait recognition with limited datasets
Improving the generalization of gait recognition with limited datasets
Qian Zhou
Xianda Guo
Jilong Wang
Chuanfu Shen
Zhongyuan Wang
Hua Zou
Qin Zou
Chao Liang
435
0
0
21 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
Equally Critical: Samples, Targets, and Their Mappings in Datasets
Equally Critical: Samples, Targets, and Their Mappings in Datasets
Runkang Yang
Peng Sun
Xinyi Shang
Yi Tang
Tao Lin
158
0
0
17 May 2025
Leveraging Multi-Modal Information to Enhance Dataset Distillation
Leveraging Multi-Modal Information to Enhance Dataset Distillation
Zhe Li
Hadrien Reynaud
Bernhard Kainz
DD
428
1
0
13 May 2025
GPS: Distilling Compact Memories via Grid-based Patch Sampling for Efficient Online Class-Incremental Learning
GPS: Distilling Compact Memories via Grid-based Patch Sampling for Efficient Online Class-Incremental Learning
Mingchuan Ma
Yuhao Zhou
Jindi Lv
Yuxin Tian
Dan Si
Shujian Li
Qing Ye
Jiancheng Lv
CLL
320
0
0
14 Apr 2025
A Large-Scale Study on Video Action Dataset Condensation
A Large-Scale Study on Video Action Dataset Condensation
Yang Chen
Sheng Guo
Bo Zheng
Limin Wang
DD
416
6
0
13 Mar 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
Understanding Dataset Distillation via Spectral Filtering
Deyu Bo
Songhua Liu
Xinchao Wang
DD
348
1
0
03 Mar 2025
Dataset Distillation with Neural Characteristic Function: A Minmax Perspective
Dataset Distillation with Neural Characteristic Function: A Minmax PerspectiveComputer Vision and Pattern Recognition (CVPR), 2025
Shaobo Wang
Yicun Yang
Ziqiang Liu
Chenghao Sun
Xuming Hu
Conghui He
Li Zhang
DD
397
28
0
28 Feb 2025
Elucidating the Design Space of Dataset Condensation
Elucidating the Design Space of Dataset CondensationNeural Information Processing Systems (NeurIPS), 2024
Shitong Shao
Zikai Zhou
Huanran Chen
Zhiqiang Shen
DD
741
24
0
20 Jan 2025
Dataset Distillation via Committee Voting
Dataset Distillation via Committee Voting
Jiacheng Cui
Zhaoyi Li
Xiaochen Ma
Xinyue Bi
Yaxin Luo
Zhiqiang Shen
DDFedML
375
7
0
13 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
767
22
0
31 Dec 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
Diversity-Driven Synthesis: Enhancing Dataset Distillation through
  Directed Weight Adjustment
Diversity-Driven Synthesis: Enhancing Dataset Distillation through Directed Weight AdjustmentNeural Information Processing Systems (NeurIPS), 2024
Jiawei Du
Xin Zhang
Juncheng Hu
Wenxin Huang
Joey Tianyi Zhou
DD
363
22
0
26 Sep 2024
Breaking Class Barriers: Efficient Dataset Distillation via Inter-Class Feature Compensator
Breaking Class Barriers: Efficient Dataset Distillation via Inter-Class Feature CompensatorInternational Conference on Learning Representations (ICLR), 2024
Xin Zhang
Jiawei Du
Ping Liu
Joey Tianyi Zhou
DD
510
7
0
13 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 CostInternational Conference on Learning Representations (ICLR), 2024
Xinyi Shang
Peng Sun
Tao Lin
307
9
0
23 May 2024
One Category One Prompt: Dataset Distillation using Diffusion Models
One Category One Prompt: Dataset Distillation using Diffusion Models
Ali Abbasi
Ashkan Shahbazi
Hamed Pirsiavash
Soheil Kolouri
DiffMDD
155
5
0
11 Mar 2024
Dataset Distillation via the Wasserstein Metric
Dataset Distillation via the Wasserstein Metric
Haoyang Liu
Yijiang Li
Tiancheng Xing
Ke Chen
Vibhu Dalal
Luwei Li
Jingrui He
Haohan Wang
DD
411
22
0
30 Nov 2023
Efficient Dataset Distillation via Minimax Diffusion
Efficient Dataset Distillation via Minimax DiffusionComputer Vision and Pattern Recognition (CVPR), 2023
Jianyang Gu
Saeed Vahidian
Vyacheslav Kungurtsev
Haonan Wang
Wei Jiang
Yang You
Yiran Chen
DD
260
61
0
27 Nov 2023
What Neural Networks Memorize and Why: Discovering the Long Tail via
  Influence Estimation
What Neural Networks Memorize and Why: Discovering the Long Tail via Influence EstimationNeural Information Processing Systems (NeurIPS), 2020
Vitaly Feldman
Chiyuan Zhang
TDI
510
560
0
09 Aug 2020
1