A Comprehensive Survey of Dataset Distillation

13 January 2023

Papers citing "A Comprehensive Survey of Dataset Distillation"

50 / 68 papers shown

Title
Dataset Distillation with Probabilistic Latent Features Zhe Li Sarah Cechnicka C. Ouyang Katharina Breininger Peter J. Schüffler Bernhard Kainz DD 25 0 0 10 May 2025
When Dynamic Data Selection Meets Data Augmentation S. M. I. Simon X. Yang Peng Ye F. Shen Dongzhan Zhou 17 0 0 02 May 2025
scDD: Latent Codes Based scRNA-seq Dataset Distillation with Foundation Model Knowledge Zhen Yu Jianan Han Yang Liu Qingchao Chen 57 0 0 06 Mar 2025
Distilling Dataset into Neural Field DongHyeok Shin Heesun Bae Gyuwon Sim Wanmo Kang Il-Chul Moon DD 58 1 0 05 Mar 2025
Understanding Dataset Distillation via Spectral Filtering Deyu Bo Songhua Liu Xinchao Wang DD 72 0 0 03 Mar 2025
MedForge: Building Medical Foundation Models Like Open Source Software Development Zheling Tan Kexin Ding Jin Gao Mu Zhou Dimitris N. Metaxas Shaoting Zhang Dequan Wang AI4CE 40 1 0 22 Feb 2025
Secure Federated Data Distillation Marco Arazzi Mert Cihangiroglu S. Nicolazzo Antonino Nocera FedML DD 76 0 0 19 Feb 2025
Dark Distillation: Backdooring Distilled Datasets without Accessing Raw Data Ziyuan Yang Ming Yan Yi Zhang Joey Tianyi Zhou DD 51 0 0 06 Feb 2025
Graph Condensation: A Survey Xin Gao Junliang Yu Wei Jiang Tong Chen Wentao Zhang Hongzhi Yin DD 83 19 0 28 Jan 2025
Towards Mitigating Architecture Overfitting on Distilled Datasets Xuyang Zhong Chen Liu DD 47 2 0 08 Jan 2025
Adaptive Dataset Quantization Muquan Li Dongyang Zhang Qiang Dong Xiurui Xie Ke Qin DD MQ 80 0 0 22 Dec 2024
Contrastive Graph Condensation: Advancing Data Versatility through Self-Supervised Learning Xinyi Gao Yayong Li Tong Chen Guanhua Ye W. Zhang Hongzhi Yin 85 2 0 26 Nov 2024
Offline Behavior Distillation Shiye Lei Sen Zhang Dacheng Tao OffRL 16 0 0 30 Oct 2024
A CLIP-Powered Framework for Robust and Generalizable Data Selection S. M. I. Simon X. Yang Peng Ye Wanli Ouyang Dongzhan Zhou F. Shen 19 1 0 15 Oct 2024
Diversity-Driven Synthesis: Enhancing Dataset Distillation through Directed Weight Adjustment Jiawei Du Xin Zhang Juncheng Hu Wenxin Huang Joey Tianyi Zhou DD 31 6 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 DD FedML 16 1 0 26 Sep 2024
Uncertainty-Guided Self-Questioning and Answering for Video-Language Alignment Jin Chen Kaijing Ma Haojian Huang Jiayu Shen Han Fang Xianghao Zang Chao Ban 73 2 0 17 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 25 2 0 02 Sep 2024
UDD: Dataset Distillation via Mining Underutilized Regions Shiguang Wang Zhongyu Zhang Jian Cheng DD 23 0 0 29 Aug 2024
Dataset Distillation for Histopathology Image Classification Cong Cong Shiyu Xuan Sidong Liu M. Pagnucco Shiliang Zhang Yang Song DD 26 0 0 19 Aug 2024
Generative Dataset Distillation Based on Diffusion Model Duo Su Junjie Hou Guang Li Ren Togo Rui Song Takahiro Ogawa Miki Haseyama VGen DD 28 4 0 16 Aug 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
One-Shot Collaborative Data Distillation William Holland Chandra Thapa Sarah Ali Siddiqui Wei Shao S. Çamtepe DD FedML 22 0 0 05 Aug 2024
Dataset Distillation for Offline Reinforcement Learning Jonathan Light Yuanzhe Liu Ziniu Hu DD 23 2 0 29 Jul 2024
D $^4$ M: Dataset Distillation via Disentangled Diffusion Model Duo Su Junjie Hou Weizhi Gao Yingjie Tian Bowen Tang DD 22 18 0 21 Jul 2024
Behaviour Distillation Andrei Lupu Chris Xiaoxuan Lu Jarek Liesen R. T. Lange Jakob Foerster DD 31 4 0 21 Jun 2024
RobGC: Towards Robust Graph Condensation Xinyi Gao Hongzhi Yin Tong Chen Guanhua Ye Wentao Zhang Bin Cui AAML 46 3 0 19 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 31 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 42 0 0 03 Jun 2024
Rethinking and Accelerating Graph Condensation: A Training-Free Approach with Class Partition Xin Gao Tong Chen Wentao Zhang Junliang Yu Guanhua Ye Quoc Viet Hung Nguyen 24 6 0 22 May 2024
FedCache 2.0: Exploiting the Potential of Distilled Data in Knowledge Cache-driven Federated Learning Quyang Pan Sheng Sun Zhiyuan Wu Yuwei Wang Min Liu Bo Gao FedML 33 1 0 22 May 2024
A Generalization Theory of Cross-Modality Distillation with Contrastive Learning Hangyu Lin Chen Liu Chengming Xu Zhengqi Gao Yanwei Fu Yuan Yao VLM 28 0 0 06 May 2024
Generative Dataset Distillation: Balancing Global Structure and Local Details Longzhen Li Guang Li Ren Togo Keisuke Maeda Takahiro Ogawa Miki Haseyama DD 34 5 0 26 Apr 2024
Large Language Model Agent as a Mechanical Designer Yayati Jadhav A. Farimani AI4CE LLMAG 90 9 0 26 Apr 2024
Brain-Inspired Continual Learning-Robust Feature Distillation and Re-Consolidation for Class Incremental Learning Hikmat Khan N. Bouaynaya Ghulam Rasool CLL 28 0 0 22 Apr 2024
Progressive trajectory matching for medical dataset distillation Zhennaan Yu Yang Liu Qingchao Chen DD 29 4 0 20 Mar 2024
Federated Learning Priorities Under the European Union Artificial Intelligence Act Herbert Woisetschläger Alexander Erben Bill Marino Shiqiang Wang Nicholas D. Lane R. Mayer Hans-Arno Jacobsen 8 15 0 05 Feb 2024
Importance-Aware Adaptive Dataset Distillation Guang Li Ren Togo Takahiro Ogawa Miki Haseyama DD 11 6 0 29 Jan 2024
DCFL: Non-IID awareness Data Condensation aided Federated Learning Shaohan Sha YaFeng Sun FedML DD 8 0 0 21 Dec 2023
Dataset Distillation via the Wasserstein Metric Haoyang Liu Yijiang Li Tiancheng Xing Vibhu Dalal Luwei Li Jingrui He Haohan Wang DD 33 11 0 30 Nov 2023
Dataset Distillation in Latent Space Yuxuan Duan Jianfu Zhang Liqing Zhang DD 22 6 0 27 Nov 2023
Embarassingly Simple Dataset Distillation Yunzhen Feng Ramakrishna Vedantam Julia Kempe DD 19 5 0 13 Nov 2023
Fair Wasserstein Coresets Zikai Xiong Niccolò Dalmasso Shubham Sharma Freddy Lecue Daniele Magazzeni Vamsi K. Potluru T. Balch Manuela Veloso 6 2 0 09 Nov 2023
Sequential Subset Matching for Dataset Distillation Jiawei Du Qin Shi Joey Tianyi Zhou DD 21 25 0 02 Nov 2023
Data Optimization in Deep Learning: A Survey Ou Wu Rujing Yao 20 1 0 25 Oct 2023
Graph Distillation with Eigenbasis Matching Yang Liu Deyu Bo Chuan Shi DD 26 9 0 13 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 19 7 0 05 Oct 2023
Image Captions are Natural Prompts for Text-to-Image Models Shiye Lei Hao Chen Senyang Zhang Bo-Lu Zhao Dacheng Tao VLM 6 19 0 17 Jul 2023
Query Understanding in the Age of Large Language Models Avishek Anand Venktesh V Abhijit Anand Vinay Setty LRM 30 4 0 28 Jun 2023
Structure-free Graph Condensation: From Large-scale Graphs to Condensed Graph-free Data Xin Zheng Miao Zhang C. Chen Quoc Viet Hung Nguyen Xingquan Zhu Shirui Pan DD 24 35 0 05 Jun 2023