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2204.07513
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Synthesizing Informative Training Samples with GAN
15 April 2022
Bo Zhao
Hakan Bilen
DD
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Papers citing
"Synthesizing Informative Training Samples with GAN"
50 / 61 papers shown
ReCon: Region-Controllable Data Augmentation with Rectification and Alignment for Object Detection
Haowei Zhu
Tianxiang Pan
Rui Qin
Jun-Hai Yong
Bin Wang
DiffM
239
3
0
17 Oct 2025
A Discrepancy-Based Perspective on Dataset Condensation
Tong Chen
Raghavendra Selvan
DD
313
1
0
12 Sep 2025
Dataset Condensation with Color Compensation
Huyu Wu
Duo Su
Junjie Hou
Guang Li
DD
533
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
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
553
7
0
26 May 2025
MGD
3
^3
3
: Mode-Guided Dataset Distillation using Diffusion Models
Jeffrey A. Chan-Santiago
Praveen Tirupattur
Gaurav Kumar Nayak
Gaowen Liu
Mubarak Shah
DD
374
5
0
25 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
Leveraging Multi-Modal Information to Enhance Dataset Distillation
Zhe Li
Hadrien Reynaud
Bernhard Kainz
DD
512
1
0
13 May 2025
Video Dataset Condensation with Diffusion Models
Zhe Li
Hadrien Reynaud
Mischa Dombrowski
Sarah Cechnicka
Franciskus Xaverius Erick
Bernhard Kainz
DD
VGen
537
1
0
10 May 2025
Dataset Distillation with Probabilistic Latent Features
Zhe Li
Sarah Cechnicka
Cheng Ouyang
Katharina Breininger
Peter Schüffler
Bernhard Kainz
DD
573
1
0
10 May 2025
SCORE: Soft Label Compression-Centric Dataset Condensation via Coding Rate Optimization
Bowen Yuan
Yuxia Fu
Zijian Wang
Yadan Luo
Zi Huang
DD
404
1
0
18 Mar 2025
Understanding Dataset Distillation via Spectral Filtering
Deyu Bo
Songhua Liu
Xinchao Wang
DD
447
2
0
03 Mar 2025
FairDD: Fair Dataset Distillation
Qihang Zhou
Shenhao Fang
Shibo He
Wenchao Meng
Jiming Chen
FedML
DD
630
1
0
29 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
639
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
Data-Efficient Generation for Dataset Distillation
Zhe Li
Weitong Zhang
Sarah Cechnicka
Bernhard Kainz
DD
237
1
0
05 Sep 2024
Generative Dataset Distillation Based on Diffusion Model
Duo Su
Junjie Hou
Guang Li
Ren Togo
Rui Song
Takahiro Ogawa
Miki Haseyama
VGen
DD
386
15
0
16 Aug 2024
Dataset Distillation by Automatic Training Trajectories
Dai Liu
Jindong Gu
Hu Cao
Carsten Trinitis
Martin Schulz
DD
299
33
0
19 Jul 2024
Self-Guided Generation of Minority Samples Using Diffusion Models
Soobin Um
Jong Chul Ye
DiffM
324
14
0
16 Jul 2024
Hierarchical Features Matter: A Deep Exploration of Progressive Parameterization Method for Dataset Distillation
Computer Vision and Pattern Recognition (CVPR), 2024
Xinhao Zhong
Hao Fang
Bin Chen
Xulin Gu
Tao Dai
Yijia Zhao
Shu-Tao Xia
DD
455
7
0
09 Jun 2024
Low-Rank Similarity Mining for Multimodal Dataset Distillation
Yue Xu
Zhilin Lin
Yusong Qiu
Cewu Lu
Yong-Lu Li
DD
366
13
0
06 Jun 2024
Dataset-Distillation Generative Model for Speech Emotion Recognition
Fabian Ritter-Gutierrez
Kuan Po Huang
Jeremy H. M Wong
Dianwen Ng
Hung-yi Lee
Nancy F. Chen
Eng Siong Chng
DD
233
4
0
05 Jun 2024
GIFT: Unlocking Full Potential of Labels in Distilled Dataset at Near-zero Cost
International Conference on Learning Representations (ICLR), 2024
Xinyi Shang
Peng Sun
Tao Lin
451
10
0
23 May 2024
Overcoming Data and Model Heterogeneities in Decentralized Federated Learning via Synthetic Anchors
International Conference on Machine Learning (ICML), 2024
Chun-Yin Huang
Kartik Srinivas
Xin Zhang
Xiaoxiao Li
DD
446
25
0
19 May 2024
Practical Dataset Distillation Based on Deep Support Vectors
Hyunho Lee
Junhoo Lee
Nojun Kwak
165
1
0
01 May 2024
Exploiting Inter-sample and Inter-feature Relations in Dataset Distillation
Wenxiao Deng
Wenbin Li
Tianyu Ding
Lei Wang
Hongguang Zhang
Kuihua Huang
Jing Huo
Yang Gao
DD
405
37
0
31 Mar 2024
DiLM: Distilling Dataset into Language Model for Text-level Dataset Distillation
Aru Maekawa
Satoshi Kosugi
Kotaro Funakoshi
Manabu Okumura
DD
379
21
0
30 Mar 2024
A Study in Dataset Pruning for Image Super-Resolution
Brian B. Moser
Federico Raue
Andreas Dengel
SupR
375
12
0
25 Mar 2024
Distribution-Aware Data Expansion with Diffusion Models
Neural Information Processing Systems (NeurIPS), 2024
Haowei Zhu
Ling Yang
Jun-Hai Yong
Hongzhi Yin
Jiawei Jiang
Meng Xiao
Wentao Zhang
Bin Wang
319
20
0
11 Mar 2024
Multisize Dataset Condensation
International Conference on Learning Representations (ICLR), 2024
Yang He
Lingao Xiao
Qiufeng Wang
Ivor Tsang
AI4CE
DD
447
21
0
10 Mar 2024
Distributional Dataset Distillation with Subtask Decomposition
Tian Qin
Zhiwei Deng
David Alvarez-Melis
DD
412
5
0
01 Mar 2024
Improve Cross-Architecture Generalization on Dataset Distillation
Binglin Zhou
Linhao Zhong
Wentao Chen
DD
365
8
0
20 Feb 2024
Boosting the Cross-Architecture Generalization of Dataset Distillation through an Empirical Study
Lirui Zhao
Yuxin Zhang
Jiayi Ji
Rongrong Ji
266
4
0
09 Dec 2023
Dataset Distillation via the Wasserstein Metric
Haoyang Liu
Yijiang Li
Tiancheng Xing
Ke Chen
Vibhu Dalal
Luwei Li
Jingrui He
Haohan Wang
DD
594
25
0
30 Nov 2023
ScribbleGen: Generative Data Augmentation Improves Scribble-supervised Semantic Segmentation
Jacob Schnell
Jieke Wang
Lu Qi
Vincent Tao Hu
Meng Tang
DiffM
364
3
0
28 Nov 2023
Efficient Dataset Distillation via Minimax Diffusion
Computer Vision and Pattern Recognition (CVPR), 2023
Jianyang Gu
Saeed Vahidian
Vyacheslav Kungurtsev
Haonan Wang
Wei Jiang
Yang You
Yiran Chen
DD
333
73
0
27 Nov 2023
Data Optimization in Deep Learning: A Survey
IEEE Transactions on Knowledge and Data Engineering (TKDE), 2023
Ou Wu
Rujing Yao
368
6
0
25 Oct 2023
You Only Condense Once: Two Rules for Pruning Condensed Datasets
Neural Information Processing Systems (NeurIPS), 2023
Yang He
Lingao Xiao
Qiufeng Wang
269
26
0
21 Oct 2023
AST: Effective Dataset Distillation through Alignment with Smooth and High-Quality Expert Trajectories
Jiyuan Shen
Wenzhuo Yang
Kwok-Yan Lam
DD
410
1
0
16 Oct 2023
Real-Fake: Effective Training Data Synthesis Through Distribution Matching
International Conference on Learning Representations (ICLR), 2023
Jianhao Yuan
Jie Zhang
Shuyang Sun
Juil Sock
Bo Zhao
278
46
0
16 Oct 2023
Leveraging Hierarchical Feature Sharing for Efficient Dataset Condensation
European Conference on Computer Vision (ECCV), 2023
Haizhong Zheng
Jiachen Sun
Shutong Wu
B. Kailkhura
Zhuoqing Mao
Chaowei Xiao
Atul Prakash
DD
243
6
0
11 Oct 2023
Data Distillation Can Be Like Vodka: Distilling More Times For Better Quality
International Conference on Learning Representations (ICLR), 2023
Xuxi Chen
Yu Yang
Zinan Lin
Baharan Mirzasoleiman
DD
240
19
0
10 Oct 2023
Dataset Condensation via Generative Model
David Junhao Zhang
Heng Wang
Chuhui Xue
Rui Yan
Wenqing Zhang
Song Bai
Mike Zheng Shou
DD
256
19
0
14 Sep 2023
Free-ATM: Exploring Unsupervised Learning on Diffusion-Generated Images with Free Attention Masks
David Junhao Zhang
Mutian Xu
Chuhui Xue
Wenqing Zhang
Xiaoguang Han
Song Bai
Mike Zheng Shou
DiffM
258
8
0
13 Aug 2023
Improved Distribution Matching for Dataset Condensation
Computer Vision and Pattern Recognition (CVPR), 2023
Ganlong Zhao
Guanbin Li
Yipeng Qin
Yizhou Yu
DD
276
157
0
19 Jul 2023
Image Captions are Natural Prompts for Text-to-Image Models
International Journal of Computer Vision (IJCV), 2023
Shiye Lei
Hao Chen
Senyang Zhang
Bo Zhao
Dacheng Tao
VLM
552
23
0
17 Jul 2023
Squeeze, Recover and Relabel: Dataset Condensation at ImageNet Scale From A New Perspective
Neural Information Processing Systems (NeurIPS), 2023
Zeyuan Yin
Eric P. Xing
Zhiqiang Shen
DD
475
142
0
22 Jun 2023
Large-scale Dataset Pruning with Dynamic Uncertainty
Muyang He
Shuo Yang
Tiejun Huang
Bo Zhao
421
60
0
08 Jun 2023
Training on Thin Air: Improve Image Classification with Generated Data
Yongchao Zhou
Hshmat Sahak
Jimmy Ba
DiffM
352
65
0
24 May 2023
A Comprehensive Study on Dataset Distillation: Performance, Privacy, Robustness and Fairness
Zongxiong Chen
Fauzan Farooqui
Derui Zhu
Herbert Woisetschlaeger
Qing Li
Sonja Schimmler
Ruben Mayer
Chunming Rong
DD
262
9
0
05 May 2023
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