v1v2v3 (latest)

Dataset Condensation with Gradient Matching

International Conference on Learning Representations (ICLR), 2025

10 June 2020

Papers citing "Dataset Condensation with Gradient Matching"

50 / 375 papers shown

Title
Beyond Random: Automatic Inner-loop Optimization in Dataset Distillation Muquan Li Hang Gou Dongyang Zhang Shuang Liang Xiurui Xie Deqiang Ouyang Ke Qin DD 33 0 0 06 Oct 2025
Learning Robust Diffusion Models from Imprecise Supervision Dong-Dong Wu Jiacheng Cui Wei Wang Zhiqiang She Masashi Sugiyama DiffM 36 0 0 03 Oct 2025
Beyond Pixels: Efficient Dataset Distillation via Sparse Gaussian Representation Chenyang Jiang Zhengcen Li Hang Zhao Qiben Shan Shaocong Wu Jingyong Su DD 28 0 0 30 Sep 2025
High-Order Progressive Trajectory Matching for Medical Image Dataset DistillationInternational 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 20 0 0 29 Sep 2025
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 49 0 0 24 Sep 2025
Dataset Distillation for Super-Resolution without Class Labels and Pre-trained Models Sunwoo Cho Yejin Jung N. Cho Jae Woong Soh DD 36 0 0 18 Sep 2025
Efficient Multimodal Dataset Distillation via Generative Models Zhenghao Zhao Haoxuan Wang Junyi Wu Yuzhang Shang Gaowen Liu Yan Yan DD 64 0 0 18 Sep 2025
EDITS: Enhancing Dataset Distillation with Implicit Textual Semantics Qianxin Xia Jiawei Du Guoming Lu Zhiyong Shu Jielei Wang 12 0 0 17 Sep 2025
High-Energy Concentration for Federated Learning in Frequency Domain Haozhi Shi Weiying Xie Hangyu Ye Daixun Li Jitao Ma Leyuan Fang FedML 32 0 0 16 Sep 2025
Data-Efficient Ensemble Weather Forecasting with Diffusion Models Kevin Valencia Ziyang Liu Justin Cui DiffM 24 0 0 14 Sep 2025
A Discrepancy-Based Perspective on Dataset Condensation Tong Chen Raghavendra Selvan DD 76 0 0 12 Sep 2025
Multi-view Graph Condensation via Tensor Decomposition Nícolas Roque dos Santos Dawon Ahn Diego Minatel Alneu de Andrade Lopes Evangelos E. Papalexakis 92 0 0 20 Aug 2025
AdapSNE: Adaptive Fireworks-Optimized and Entropy-Guided Dataset Sampling for Edge DNN Training Boran Zhao Hetian Liu Zihang Yuan Li Zhu Fan Yang Lina Xie Tian Xia Wenzhe zhao Pengju Ren AAML 28 0 0 19 Aug 2025
Toward Storage-Aware Learning with Compressed Data An Empirical Exploratory Study on JPEG Kichang Lee Songkuk Kim JaeYeon Park Jeonggil Ko 28 0 0 18 Aug 2025
SoK: Data Minimization in Machine Learning Robin Staab Nikola Jovanović Kimberly Mai Prakhar Ganesh Martin Vechev Ferdinando Fioretto Matthew Jagielski 36 0 0 14 Aug 2025
Domain-Generalization to Improve Learning in Meta-Learning Algorithms Usman Anjum Chris Stockman Cat Luong J. Zhan FedML 86 0 0 13 Aug 2025
Distilling Reinforcement Learning into Single-Batch Datasets Connor Wilhelm Dan Ventura DD OffRL 64 0 0 12 Aug 2025
FeDaL: Federated Dataset Learning for Time Series Foundation Models Shengchao Chen Guodong Long Jing Jiang FedML AI4TS AI4CE 117 0 0 06 Aug 2025
NMS: Efficient Edge DNN Training via Near-Memory Sampling on Manifolds Boran Zhao Haiduo Huang Qiwei Dang Wenzhe zhao Tian Xia Pengju Ren 76 2 0 04 Aug 2025
Pr $^2$ R: Information-Fused and Style-Aware Privacy-Preserving Replay for Lifelong Person Re-Identification Mingyu Wang Haojie Liu Zhiyong Li Wei Jiang 48 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 47 1 0 03 Aug 2025
Enhancing Diffusion-based Dataset Distillation via Adversary-Guided Curriculum Sampling Lexiao Zou Gongwei Chen Yanda Chen Miao Zhang DD 76 0 0 02 Aug 2025
Dataset Condensation with Color Compensation Huyu Wu Duo Su Junjie Hou Guang Li DD 98 0 0 02 Aug 2025
Boost Self-Supervised Dataset Distillation via Parameterization, Predefined Augmentation, and Approximation Sheng-Feng Yu Jia-Jiun Yao Wei-Chen Chiu DD 126 1 0 29 Jul 2025
Dataset Distillation as Data Compression: A Rate-Utility Perspective Youneng Bao Yiping Liu Zhuo Chen Yongsheng Liang Mu Li Kede Ma DD 75 0 0 23 Jul 2025
Leveraging Distribution Matching to Make Approximate Machine Unlearning Faster Junaid Iqbal Khan MU 165 0 0 13 Jul 2025
Approximating Language Model Training Data from Weights John X. Morris Junjie Oscar Yin Woojeong Kim Vitaly Shmatikov Alexander M. Rush 121 1 0 18 Jun 2025
Shapley Machine: A Game-Theoretic Framework for N-Agent Ad Hoc Teamwork Jianhong Wang Yang Li Samuel Kaski Jonathan Lawry 98 0 0 12 Jun 2025
Selecting Demonstrations for Many-Shot In-Context Learning via Gradient Matching J. Zhang Bei Li Jun Bai Rumei Li Yanmeng Wang Chenghua Lin Wenge Rong 159 1 0 05 Jun 2025
Reasoning Like an Economist: Post-Training on Economic Problems Induces Strategic Generalization in LLMs Yufa Zhou S. Wang Xingyu Dong Xiangqi Jin Yifang Chen Yue Min Kexin Yang Xingzhang Ren Dayiheng Liu Linfeng Zhang OffRL LRM 118 0 0 31 May 2025
DAM: Domain-Aware Module for Multi-Domain Dataset Condensation Jaehyun Choi Gyojin Han Dong-Jae Lee Sunghyun Baek Junmo Kim DD AI4CE 122 1 0 28 May 2025
Dynamic-Aware Video Distillation: Optimizing Temporal Resolution Based on Video Semantics Yinjie Zhao Heng Zhao Bihan Wen Yew-Soon Ong Joey Tianyi Zhou VGen 79 0 0 28 May 2025
PRISM: Video Dataset Condensation with Progressive Refinement and Insertion for Sparse Motion Jaehyun Choi Jiwan Hur Gyojin Han Jaemyung Yu Junmo Kim VGen 103 0 0 28 May 2025
Instance Data Condensation for Image Super-Resolution Tianhao Peng Ho Man Kwan Yuxuan Jiang Ge Gao Fan Zhang Xiaozhong Xu Shan Liu David Bull DD 101 1 0 27 May 2025
Diversity-Driven Generative Dataset Distillation Based on Diffusion Model with Self-Adaptive Memory Mingzhuo Li Guang Li Jiafeng Mao Takahiro Ogawa Miki Haseyama DD 282 3 0 26 May 2025
MGD $^3$ : Mode-Guided Dataset Distillation using Diffusion Models Jeffrey A. Chan-Santiago Praveen Tirupattur Gaurav Kumar Nayak Gaowen Liu Mubarak Shah DD 116 2 0 25 May 2025
Taming Diffusion for Dataset Distillation with High Representativeness Lin Zhao Yushu Wu Xinru Jiang Jianyang Gu Yanzhi Wang Xiaolin Xu Pu Zhao Xue Lin DD 405 2 0 23 May 2025
A Coreset Selection of Coreset Selection Literature: Introduction and Recent Advances Brian B. Moser Arundhati S. Shanbhag Stanislav Frolov Federico Raue Joachim Folz Andreas Dengel 316 3 0 23 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 1.1K 0 0 23 May 2025
Contrastive Learning-Enhanced Trajectory Matching for Small-Scale Dataset Distillation Wenmin Li Shunsuke Sakai Tatsuhito Hasegawa DD 154 1 0 21 May 2025
Collaborative Unlabeled Data Optimization Xinyi Shang Peng Sun Fengyuan Liu Tao Lin 129 0 0 20 May 2025
DD-Ranking: Rethinking the Evaluation of Dataset Distillation Zekai Li Xinhao Zhong Samir Khaki Zhiyuan Liang Yuhao Zhou ... Konstantinos N Plataniotis Zhangyang Wang Bo Zhao Yang You Kai Wang DD 245 7 0 19 May 2025
Data Whisperer: Efficient Data Selection for Task-Specific LLM Fine-Tuning via Few-Shot In-Context Learning Shaobo Wang Xiangqi Jin Ziming Wang Jinqiao Wang Jingyun Zhang ... Zichen Wen Zhong Li Bin Wang Xuming Hu Linfeng Zhang SyDa 237 6 0 18 May 2025
Equally Critical: Samples, Targets, and Their Mappings in Datasets Runkang Yang Peng Sun Xinyi Shang Yi Tang Tao R. Lin 86 0 0 17 May 2025
Leveraging Multi-Modal Information to Enhance Dataset Distillation Zhe Li Hadrien Reynaud Bernhard Kainz DD 190 1 0 13 May 2025
Dataset Distillation with Probabilistic Latent Features Zhe Li Sarah Cechnicka Cheng Ouyang Katharina Breininger Peter Schüffler Bernhard Kainz DD 193 1 0 10 May 2025
Video Dataset Condensation with Diffusion Models Zhe Li Hadrien Reynaud Mischa Dombrowski Sarah Cechnicka Franciskus Xaverius Erick Bernhard Kainz DD VGen 136 1 0 10 May 2025
Rethinking Federated Graph Learning: A Data Condensation PerspectiveInternational Joint Conference on Artificial Intelligence (IJCAI), 2021 Hao Zhang Miao Hu Yinlin Zhu Lianglin Hu FedML DD AI4CE 141 1 0 05 May 2025
m-KAILIN: 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 207 0 0 28 Apr 2025
Efficient Learning on Large Graphs using a Densifying Regularity Lemma Jonathan Kouchly Ben Finkelshtein M. Bronstein Ron Levie 137 0 0 25 Apr 2025