DC-BENCH: Dataset Condensation Benchmark

20 July 2022

Papers citing "DC-BENCH: Dataset Condensation Benchmark"

50 / 56 papers shown

Title
Latent Video Dataset Distillation Ning Li Antai Andy Liu Jingran Zhang Justin Cui DD VGen 65 0 0 23 Apr 2025
Generative Dataset Distillation using Min-Max Diffusion Model Junqiao Fan Yunjiao Zhou Min Chang Jordan Ren Jianfei Yang DiffM 58 0 0 24 Mar 2025
Robust Dataset Distillation by Matching Adversarial Trajectories Wei Lai Tianyu Ding ren dongdong Lei Wang Jing Huo Yang Gao Wenbin Li AAML DD 57 0 0 15 Mar 2025
A Large-Scale Study on Video Action Dataset Condensation Yang Chen Sheng Guo Bo Zheng Limin Wang DD 77 2 0 13 Mar 2025
scDD: Latent Codes Based scRNA-seq Dataset Distillation with Foundation Model Knowledge Zhen Yu Jianan Han Yang Liu Qingchao Chen 62 0 0 06 Mar 2025
Climate And Resource Awareness is Imperative to Achieving Sustainable AI (and Preventing a Global AI Arms Race) Pedram Bakhtiarifard Pınar Tözün Christian Igel Raghavendra Selvan 37 0 0 27 Feb 2025
On Learning Representations for Tabular Data Distillation Inwon Kang Parikshit Ram Yi Zhou Horst Samulowitz O. Seneviratne DD 52 0 0 23 Jan 2025
Decomposed Distribution Matching in Dataset Condensation Sahar Rahimi Malakshan Mohammad Saeed Ebrahimi Saadabadi Ali Dabouei Nasser M. Nasrabadi DD 69 1 0 06 Dec 2024
Emphasizing Discriminative Features for Dataset Distillation in Complex Scenarios Kai Wang Zekai Li Zhi-Qi Cheng Samir Khaki A. Sajedi Ramakrishna Vedantam Konstantinos N. Plataniotis Alexander G. Hauptmann Yang You DD 62 4 0 22 Oct 2024
Teddy: Efficient Large-Scale Dataset Distillation via Taylor-Approximated Matching Ruonan Yu Songhua Liu Jingwen Ye Xinchao Wang DD 18 4 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 24 1 0 07 Oct 2024
Breaking Class Barriers: Efficient Dataset Distillation via Inter-Class Feature Compensator Xin Zhang Jiawei Du Ping Liu Joey Tianyi Zhou DD 42 2 0 13 Aug 2024
Dataset Distillation in Medical Imaging: A Feasibility Study Muyang Li Can Cui Quan Liu Ruining Deng Tianyuan Yao Marilyn Lionts Yuankai Huo OOD DD 39 2 0 19 Jul 2024
GC-Bench: A Benchmark Framework for Graph Condensation with New Insights Shengbo Gong Juntong Ni Noveen Sachdeva Carl Yang Wei Jin DD 34 3 0 24 Jun 2024
Evolution-aware VAriance (EVA) Coreset Selection for Medical Image Classification Yuxin Hong Xiao Zhang Xin Zhang Joey Tianyi Zhou 30 2 0 09 Jun 2024
Hierarchical Features Matter: A Deep Exploration of Progressive Parameterization Method for Dataset Distillation Xinhao Zhong Hao Fang Bin Chen Xulin Gu Tao Dai Meikang Qiu Shu-Tao Xia DD 33 0 0 09 Jun 2024
BACON: Bayesian Optimal Condensation Framework for Dataset Distillation Zheng Zhou Hong Zhao Guangliang Cheng Xiangtai Li Shuchang Lyu Wenquan Feng Qi Zhao DD 47 0 0 03 Jun 2024
DANCE: Dual-View Distribution Alignment for Dataset Condensation Hansong Zhang Shikun Li Fanzhao Lin Weiping Wang Zhenxing Qian Shiming Ge DD 26 4 0 03 Jun 2024
SelMatch: Effectively Scaling Up Dataset Distillation via Selection-Based Initialization and Partial Updates by Trajectory Matching Yongmin Lee Hye Won Chung 14 6 0 28 May 2024
Calibrated Dataset Condensation for Faster Hyperparameter Search Mucong Ding Yuancheng Xu Tahseen Rabbani Xiaoyu Liu Brian J Gravelle Teresa M. Ranadive Tai-Ching Tuan Furong Huang DD 19 0 0 27 May 2024
Efficiency for Free: Ideal Data Are Transportable Representations Peng Sun Yi Jiang Tao Lin DD 31 0 0 23 May 2024
GCondenser: Benchmarking Graph Condensation Yilun Liu Ruihong Qiu Zi Huang DD 30 8 0 23 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 45 14 0 31 Mar 2024
Progressive trajectory matching for medical dataset distillation Zhennaan Yu Yang Liu Qingchao Chen DD 40 4 0 20 Mar 2024
DD-RobustBench: An Adversarial Robustness Benchmark for Dataset Distillation Yifan Wu Jiawei Du Ping Liu Yuewei Lin Wenqing Cheng Wei-ping Xu DD AAML 38 5 0 20 Mar 2024
One Category One Prompt: Dataset Distillation using Diffusion Models Ali Abbasi Ashkan Shahbazi Hamed Pirsiavash Soheil Kolouri DiffM DD 30 3 0 11 Mar 2024
Is Adversarial Training with Compressed Datasets Effective? Tong Chen Raghavendra Selvan AAML 35 0 0 08 Feb 2024
Dataset Distillation via Adversarial Prediction Matching Mingyang Chen Bo Huang Junda Lu Bing Li Yi Wang Minhao Cheng Wei Wang DD 11 5 0 14 Dec 2023
On the Diversity and Realism of Distilled Dataset: An Efficient Dataset Distillation Paradigm Peng Sun Bei Shi Daiwei Yu Tao Lin DD 10 36 0 06 Dec 2023
Discovering Galaxy Features via Dataset Distillation Haowen Guan Xuan Zhao Zishi Wang Zhiyang Li Julia Kempe DD 8 2 0 29 Nov 2023
Efficient Dataset Distillation via Minimax Diffusion Jianyang Gu Saeed Vahidian Vyacheslav Kungurtsev Haonan Wang Wei Jiang Yang You Yiran Chen DD 32 26 0 27 Nov 2023
Embarassingly Simple Dataset Distillation Yunzhen Feng Ramakrishna Vedantam Julia Kempe DD 24 5 0 13 Nov 2023
Sequential Subset Matching for Dataset Distillation Jiawei Du Qin Shi Joey Tianyi Zhou DD 26 25 0 02 Nov 2023
Data Pruning via Moving-one-Sample-out Haoru Tan Sitong Wu Fei Du Yukang Chen Zhibin Wang Fan Wang Xiaojuan Qi 30 29 0 23 Oct 2023
AST: Effective Dataset Distillation through Alignment with Smooth and High-Quality Expert Trajectories Jiyuan Shen Wenzhuo Yang Kwok-Yan Lam DD 15 1 0 16 Oct 2023
Leveraging Hierarchical Feature Sharing for Efficient Dataset Condensation Haizhong Zheng Jiachen Sun Shutong Wu B. Kailkhura Zhuoqing Mao Chaowei Xiao Atul Prakash DD 6 2 0 11 Oct 2023
Self-Supervised Dataset Distillation for Transfer Learning Dong Bok Lee Seanie Lee Joonho Ko Kenji Kawaguchi Juho Lee Sung Ju Hwang DD 36 3 0 10 Oct 2023
Towards Lossless Dataset Distillation via Difficulty-Aligned Trajectory Matching Ziyao Guo Kai Wang George Cazenavette Hui Li Kaipeng Zhang Yang You DD 19 61 0 09 Oct 2023
Can pre-trained models assist in dataset distillation? Yao Lu Xuguang Chen Yuchen Zhang Jianyang Gu Tianle Zhang Yifan Zhang Xiaoniu Yang Qi Xuan Kai Wang Yang You DD 29 10 0 05 Oct 2023
DataDAM: Efficient Dataset Distillation with Attention Matching A. Sajedi Samir Khaki Ehsan Amjadian Lucy Z. Liu Y. Lawryshyn Konstantinos N. Plataniotis DD 31 55 0 29 Sep 2023
An Introduction to Bi-level Optimization: Foundations and Applications in Signal Processing and Machine Learning Yihua Zhang Prashant Khanduri Ioannis C. Tsaknakis Yuguang Yao Min-Fong Hong Sijia Liu AI4CE 24 24 0 01 Aug 2023
Dataset Distillation Meets Provable Subset Selection M. Tukan Alaa Maalouf Margarita Osadchy DD 13 4 0 16 Jul 2023
Squeeze, Recover and Relabel: Dataset Condensation at ImageNet Scale From A New Perspective Zeyuan Yin Eric P. Xing Zhiqiang Shen DD 8 63 0 22 Jun 2023
A Comprehensive Study on Dataset Distillation: Performance, Privacy, Robustness and Fairness Zongxiong Chen Jiahui Geng Derui Zhu Herbert Woisetschlaeger Qing Li Sonja Schimmler Ruben Mayer Chunming Rong DD 17 9 0 05 May 2023
A Survey on Dataset Distillation: Approaches, Applications and Future Directions Jiahui Geng Zongxiong Chen Yuandou Wang Herbert Woisetschlaeger Sonja Schimmler Ruben Mayer Zhiming Zhao Chunming Rong DD 55 26 0 03 May 2023
Generalizing Dataset Distillation via Deep Generative Prior George Cazenavette Tongzhou Wang Antonio Torralba Alexei A. Efros Jun-Yan Zhu DD 91 84 0 02 May 2023
Bayesian Pseudo-Coresets via Contrastive Divergence Piyush Tiwary Kumar Shubham V. Kashyap Prathosh A.P. 16 3 0 20 Mar 2023
DREAM: Efficient Dataset Distillation by Representative Matching Yanqing Liu Jianyang Gu Kai Wang Zheng Hua Zhu Wei Jiang Yang You DD 21 75 0 28 Feb 2023
Dataset Distillation: A Comprehensive Review Ruonan Yu Songhua Liu Xinchao Wang DD 27 121 0 17 Jan 2023
A Comprehensive Survey of Dataset Distillation Shiye Lei Dacheng Tao DD 31 87 0 13 Jan 2023