Communities
Connect sessions
AI calendar
Organizations
Join Slack
Contact Sales
Search
Open menu
Home
Papers
2011.00050
Cited By
v1
v2
v3 (latest)
Dataset Meta-Learning from Kernel Ridge-Regression
International Conference on Learning Representations (ICLR), 2020
30 October 2020
Timothy Nguyen
Zhourung Chen
Jaehoon Lee
DD
Re-assign community
ArXiv (abs)
PDF
HTML
Papers citing
"Dataset Meta-Learning from Kernel Ridge-Regression"
50 / 188 papers shown
CoDA: From Text-to-Image Diffusion Models to Training-Free Dataset Distillation
Letian Zhou
Songhua Liu
Xinchao Wang
174
0
0
03 Dec 2025
Algorithmic Guarantees for Distilling Supervised and Offline RL Datasets
Aaryan Gupta
Rishi Saket
A. Raghuveer
OffRL
DD
276
0
0
29 Nov 2025
Low-Level Dataset Distillation for Medical Image Enhancement
Fengzhi Xu
Ziyuan Yang
Mengyu Sun
Joey Tianyi Zhou
Y. Zhang
DD
FedML
355
0
0
17 Nov 2025
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
205
1
0
15 Nov 2025
Not All Instances Are Equally Valuable: Towards Influence-Weighted Dataset Distillation
Qiyan Deng
Changqian Zheng
Lianpeng Qiao
Yuping Wang
Chengliang Chai
Lei Cao
TDI
DD
364
0
0
31 Oct 2025
Matrix-Free Least Squares Solvers: Values, Gradients, and What to Do With Them
Hrittik Roy
Søren Hauberg
Nicholas Krämer
187
1
0
22 Oct 2025
CovMatch: Cross-Covariance Guided Multimodal Dataset Distillation with Trainable Text Encoder
Yongmin Lee
Hye Won Chung
203
0
0
21 Oct 2025
Improving Clinical Dataset Condensation with Mode Connectivity-based Trajectory Surrogates
Pafue Christy Nganjimi
A. Soltan
Danielle Belgrave
Lei A. Clifton
David Clifton
A. Thakur
DD
AI4CE
301
0
0
07 Oct 2025
High-Order Progressive Trajectory Matching for Medical Image Dataset Distillation
International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2025
Le Dong
Jinghao Bian
Jingyang Hou
Jingliang Hu
Yilei Shi
Weisheng Dong
X. Zhu
Lichao Mou
DD
MedIm
233
0
0
29 Sep 2025
A Discrepancy-Based Perspective on Dataset Condensation
Tong Chen
Raghavendra Selvan
DD
313
1
0
12 Sep 2025
Distilling Reinforcement Learning into Single-Batch Datasets
Connor Wilhelm
Dan Ventura
DD
OffRL
330
2
0
12 Aug 2025
Distilling the Past: Information-Dense and Style-Aware Replay for Lifelong Person Re-Identification
Mingyu Wang
Haojie Liu
Zhiyong Li
Wei Jiang
Q. M. Jonathan Wu
266
0
0
03 Aug 2025
Improving Noise Efficiency in Privacy-preserving Dataset Distillation
Runkai Zheng
Vishnu Asutosh Dasu
Yinong Wang
Haohan Wang
Fernando de la Torre
DD
335
2
0
03 Aug 2025
Dataset Condensation with Color Compensation
Huyu Wu
Duo Su
Junjie Hou
Guang Li
DD
535
3
0
02 Aug 2025
Dataset Distillation as Data Compression: A Rate-Utility Perspective
Youneng Bao
Yiping Liu
Zhuo Chen
Yongsheng Liang
Mu Li
Kede Ma
DD
304
1
0
23 Jul 2025
Model Reprogramming Demystified: A Neural Tangent Kernel Perspective
Ming-Yu Chung
Jiashuo Fan
Hancheng Ye
Qinsi Wang
Wei-Chen Shen
Chia-Mu Yu
Pin-Yu Chen
Sy-Yen Kuo
271
2
0
31 May 2025
Diversity-Driven Generative Dataset Distillation Based on Diffusion Model with Self-Adaptive Memory
International Conference on Information Photonics (ICIP), 2025
Mingzhuo Li
Guang Li
Jiafeng Mao
Takahiro Ogawa
Miki Haseyama
DD
557
7
0
26 May 2025
CONCORD: Concept-Informed Diffusion for Dataset Distillation
Jianyang Gu
Haonan Wang
Ruoxi Jia
Saeed Vahidian
Vyacheslav Kungurtsev
Wei Jiang
Yiran Chen
DiffM
DD
1.4K
1
0
23 May 2025
Contrastive Learning-Enhanced Trajectory Matching for Small-Scale Dataset Distillation
Wenmin Li
Shunsuke Sakai
Tatsuhito Hasegawa
DD
402
1
0
21 May 2025
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
665
9
0
19 May 2025
Dataset Distillation with Probabilistic Latent Features
Zhe Li
Sarah Cechnicka
Cheng Ouyang
Katharina Breininger
Peter Schüffler
Bernhard Kainz
DD
578
1
0
10 May 2025
Knowledge-Driven Agentic Scientific Corpus Distillation Framework for Biomedical Large Language Models Training
Meng Xiao
Xunxin Cai
Chengrui Wang
Yuanchun Zhou
Yuanchun Zhou
Hengshu Zhu
540
1
0
28 Apr 2025
Latent Video Dataset Distillation
Ning Li
Antai Andy Liu
Jingran Zhang
Justin Cui
DD
VGen
594
2
0
23 Apr 2025
Condensing Action Segmentation Datasets via Generative Network Inversion
Computer Vision and Pattern Recognition (CVPR), 2025
Guodong Ding
Rongyu Chen
Angela Yao
DD
393
2
0
18 Mar 2025
A Large-Scale Study on Video Action Dataset Condensation
Yang Chen
Sheng Guo
Bo Zheng
Limin Wang
DD
525
6
0
13 Mar 2025
Understanding Dataset Distillation via Spectral Filtering
Deyu Bo
Songhua Liu
Xinchao Wang
DD
450
2
0
03 Mar 2025
Training-Free Dataset Pruning for Instance Segmentation
International Conference on Learning Representations (ICLR), 2025
Yalun Dai
Lingao Xiao
Ivor W. Tsang
Yang He
ISeg
383
4
0
02 Mar 2025
Variational Bayesian Pseudo-Coreset
International Conference on Learning Representations (ICLR), 2025
Hyungi Lee
Seanie Lee
Juho Lee
BDL
304
0
0
28 Feb 2025
Dataset Distillation with Neural Characteristic Function: A Minmax Perspective
Computer Vision and Pattern Recognition (CVPR), 2025
Shaobo Wang
Yicun Yang
Ziqiang Liu
Chenghao Sun
Xuming Hu
Conghui He
Li Zhang
DD
511
37
0
28 Feb 2025
Synthetic Text Generation for Training Large Language Models via Gradient Matching
Dang Nguyen
Zeman Li
M. Bateni
Vahab Mirrokni
Meisam Razaviyayn
Baharan Mirzasoleiman
493
6
0
24 Feb 2025
Generalized Kernel Inducing Points by Duality Gap for Dataset Distillation
Tatsuya Aoyama
Hanting Yang
Hiroyuki Hanada
Satoshi Akahane
Tomonari Tanaka
...
Noriaki Hashimoto
Taro Murayama
Hanju Lee
Shinya Kojima
Ichiro Takeuchi
427
1
0
18 Feb 2025
Graph Condensation: A Survey
IEEE Transactions on Knowledge and Data Engineering (TKDE), 2024
Xin Gao
Junliang Yu
Wei Jiang
Tong Chen
Wentao Zhang
Hongzhi Yin
DD
541
29
0
28 Jan 2025
On Learning Representations for Tabular Data Distillation
Inwon Kang
Parikshit Ram
Yi Zhou
Horst Samulowitz
Oshani Seneviratne
DD
279
2
0
23 Jan 2025
Elucidating the Design Space of Dataset Condensation
Neural Information Processing Systems (NeurIPS), 2024
Shitong Shao
Zikai Zhou
Huanran Chen
Zhiqiang Shen
DD
821
31
0
20 Jan 2025
One-shot Federated Learning via Synthetic Distiller-Distillate Communication
Neural Information Processing Systems (NeurIPS), 2024
Junyuan Zhang
Songhua Liu
Xinchao Wang
DD
FedML
305
11
0
06 Dec 2024
Distill the Best, Ignore the Rest: Improving Dataset Distillation with Loss-Value-Based Pruning
Brian B. Moser
Federico Raue
Tobias Christian Nauen
Stanislav Frolov
Andreas Dengel
DD
295
4
0
18 Nov 2024
Color-Oriented Redundancy Reduction in Dataset Distillation
Neural Information Processing Systems (NeurIPS), 2024
Bowen Yuan
Zijian Wang
Mahsa Baktashmotlagh
Yadan Luo
Zi Huang
DD
642
7
0
18 Nov 2024
Emphasizing Discriminative Features for Dataset Distillation in Complex Scenarios
Computer 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
441
14
0
22 Oct 2024
Are Large-scale Soft Labels Necessary for Large-scale Dataset Distillation?
Neural Information Processing Systems (NeurIPS), 2024
Lingao Xiao
Yang He
DD
403
14
0
21 Oct 2024
Teddy: Efficient Large-Scale Dataset Distillation via Taylor-Approximated Matching
European Conference on Computer Vision (ECCV), 2024
Ruonan Yu
Songhua Liu
Jingwen Ye
Xinchao Wang
DD
332
13
0
10 Oct 2024
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
264
1
0
07 Oct 2024
Dataset Distillation via Knowledge Distillation: Towards Efficient Self-Supervised Pre-Training of Deep Networks
International Conference on Learning Representations (ICLR), 2024
S. Joshi
Jiayi Ni
Baharan Mirzasoleiman
DD
773
4
0
03 Oct 2024
DRUPI: Dataset Reduction Using Privileged Information
Shaobo Wang
Youxin Jiang
Shuaiyu Zhang
Chenghao Sun
Weiya Li
...
Chenghao Sun
Weiya Li
Conghui He
Xuming Hu
Linfeng Zhang
451
8
0
02 Oct 2024
Diversity-Driven Synthesis: Enhancing Dataset Distillation through Directed Weight Adjustment
Neural Information Processing Systems (NeurIPS), 2024
Jiawei Du
Xin Zhang
Juncheng Hu
Wenxin Huang
Joey Tianyi Zhou
DD
393
32
0
26 Sep 2024
Dataset Distillation-based Hybrid Federated Learning on Non-IID Data
Xiufang Shi
Wei Zhang
Mincheng Wu
Guangyi Liu
Z. Wen
Shibo He
Tejal Shah
R. Ranjan
FedML
DD
364
3
0
26 Sep 2024
Label-Augmented Dataset Distillation
IEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2024
Seoungyoon Kang
Youngsun Lim
Hyunjung Shim
DD
332
3
0
24 Sep 2024
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
407
3
0
02 Sep 2024
UDD: Dataset Distillation via Mining Underutilized Regions
Chinese Conference on Pattern Recognition and Computer Vision (CPRCV), 2024
Shiguang Wang
Zhongyu Zhang
Jian Cheng
DD
319
0
0
29 Aug 2024
Distilling Long-tailed Datasets
Computer Vision and Pattern Recognition (CVPR), 2024
Zhenghao Zhao
Haoxuan Wang
Yuzhang Shang
Kai Wang
Yan Yan
DD
447
6
0
24 Aug 2024
Dataset Distillation for Histopathology Image Classification
Cong Cong
Shiyu Xuan
Sidong Liu
Maurice Pagnucco
Shiliang Zhang
Yang Song
DD
261
3
0
19 Aug 2024
1
2
3
4
Next
Page 1 of 4