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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
Towards Harnessing the Collaborative Power of Large and Small Models for Domain Tasks Yang Liu Bingjie Yan Tianyuan Zou Jianqing Zhang Zixuan Gu ... Jiajian Li Xiaozhou Ye Ye Ouyang Qiang Yang Yanzhe Zhang ALM 638 2 0 24 Apr 2025
Latent Video Dataset Distillation Ning Li Antai Andy Liu Jingran Zhang Justin Cui DD VGen 227 1 0 23 Apr 2025
Transferable text data distillation by trajectory matching Rong Yao Hailin Hu Yifei Fu Hanting Chen Wenyi Fang Fanyi Du Kai Han Yunhe Wang 145 0 0 14 Apr 2025
GPS: Distilling Compact Memories via Grid-based Patch Sampling for Efficient Online Class-Incremental Learning Mingchuan Ma Yuhao Zhou Jindi Lv Yuxin Tian Dan Si Shujian Li Qing Ye Jiancheng Lv CLL 160 0 0 14 Apr 2025
Dataset Distillation of 3D Point Clouds via Distribution Matching Jae-Young Yim Dongwook Kim Jae-Young Sim DD 3DPC 167 0 0 28 Mar 2025
Enhancing Dataset Distillation via Non-Critical Region Refinement Minh-Tuan Tran Trung Le Xuan-May Le Thanh-Toan Do Dinh Q. Phung DD 205 2 0 24 Mar 2025
Dataset Distillation for Quantum Neural Networks Koustubh Phalak Junde Li Swaroop Ghosh DD 176 0 0 23 Mar 2025
ACE: A Cardinality Estimator for Set-Valued Queries Yufan Sheng Xin Cao Kaiqi Zhao Yixiang Fang Jianzhong Qi Wenjie Zhang Christian S. Jensen 142 0 0 19 Mar 2025
Condensing Action Segmentation Datasets via Generative Network Inversion Guodong Ding Rongyu Chen Angela Yao DD 179 1 0 18 Mar 2025
SCORE: Soft Label Compression-Centric Dataset Condensation via Coding Rate Optimization Bowen Yuan Yuxia Fu Zijian Wang Yadan Luo Zi Huang DD 217 0 0 18 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 142 0 0 15 Mar 2025
Efficient and Privacy-Preserved Link Prediction via Condensed Graphs Yunbo Long Liming Xu Alexandra Brintrup 226 0 0 15 Mar 2025
A Large-Scale Study on Video Action Dataset Condensation Yang Chen Sheng Guo Bo Zheng Limin Wang DD 275 4 0 13 Mar 2025
scDD: Latent Codes Based scRNA-seq Dataset Distillation with Foundation Model Knowledge Zhen Yu Jianan Han Yang Liu Qingchao Chen 143 0 0 06 Mar 2025
WarmFed: Federated Learning with Warm-Start for Globalization and Personalization Via Personalized Diffusion Models Tao Feng Jie Zhang Xiangjian Li Rong Huang Huashan Liu Zhijie Wang FedML 133 0 0 05 Mar 2025
Distilling Dataset into Neural Field DongHyeok Shin Heesun Bae Gyuwon Sim Wanmo Kang Il-Chul Moon DD 202 3 0 05 Mar 2025
Understanding Dataset Distillation via Spectral Filtering Deyu Bo Songhua Liu Xinchao Wang DD 192 1 0 03 Mar 2025
Training-Free Dataset Pruning for Instance Segmentation Yalun Dai Lingao Xiao Ivor W. Tsang Yang He ISeg 145 4 0 02 Mar 2025
Dataset Distillation with Neural Characteristic Function: A Minmax Perspective Shaobo Wang Yicun Yang Ziqiang Liu Chenghao Sun Xuming Hu Conghui He Li Zhang DD 199 18 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 199 2 0 24 Feb 2025
Does Training with Synthetic Data Truly Protect Privacy? Yunpeng Zhao Jie Zhang 187 2 0 18 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 179 0 0 18 Feb 2025
Dark Distillation: Backdooring Distilled Datasets without Accessing Raw Data Ziyuan Yang Ming Yan Yi Zhang Joey Tianyi Zhou DD 191 0 0 06 Feb 2025
The Best Instruction-Tuning Data are Those That Fit Dylan Zhang Qirun Dai Hao Peng ALM 320 15 0 06 Feb 2025
Graph Condensation: A Survey Xin Gao Junliang Yu Wei Jiang Tong Chen Wentao Zhang Hongzhi Yin DD 342 25 0 28 Jan 2025
On Learning Representations for Tabular Data Distillation Inwon Kang Parikshit Ram Yi Zhou Horst Samulowitz Oshani Seneviratne DD 160 0 0 23 Jan 2025
Elucidating the Design Space of Dataset Condensation Shitong Shao Zikai Zhou Huanran Chen Zhiqiang Shen DD 311 16 0 20 Jan 2025
Dataset Distillation via Committee Voting Jiacheng Cui Zhaoyi Li Xiaochen Ma Xinyue Bi Yaxin Luo Zhiqiang Shen DD FedML 171 4 0 13 Jan 2025
Generative Dataset Distillation Based on Self-knowledge Distillation Longzhen Li Ge Li Ren Togo Keisuke Maeda Takahiro Ogawa Miki Haseyama DD 170 3 0 08 Jan 2025
Towards Mitigating Architecture Overfitting on Distilled Datasets Xuyang Zhong Chen Liu DD 161 1 0 08 Jan 2025
Visual Large Language Models for Generalized and Specialized Applications Jiayi Zhang Zhixin Lai Wentao Bao Zhen Tan Anh Dao Kewei Sui Jiayi Shen Dong Liu Huan Liu Yu Kong VLM 278 26 0 06 Jan 2025
Unleashing the Power of Data Tsunami: A Comprehensive Survey on Data Assessment and Selection for Instruction Tuning of Language Models Yulei Qin Yuncheng Yang Pengcheng Guo Gang Li Hang Shao Yuchen Shi Zihan Xu Yun Gu Ke Li Xing Sun ALM 332 18 0 31 Dec 2024
HuatuoGPT-o1, Towards Medical Complex Reasoning with LLMs Junying Chen Zhenyang Cai Ke Ji Xiang Wang Wanlong Liu Rongsheng Wang Jianye Hou Benyou Wang LRM 117 114 0 25 Dec 2024
Adaptive Dataset Quantization Muquan Li Dongyang Zhang Qiang Dong Xiurui Xie Ke Qin DD MQ 193 2 0 22 Dec 2024
One-shot Federated Learning via Synthetic Distiller-Distillate Communication Junyuan Zhang Songhua Liu Xinchao Wang DD FedML 144 4 0 06 Dec 2024
Decomposed Distribution Matching in Dataset Condensation Sahar Rahimi Malakshan Mohammad Saeed Ebrahimi Saadabadi Ali Dabouei Nasser M. Nasrabadi DD 248 1 0 06 Dec 2024
FairDD: Fair Dataset Distillation via Synchronized Matching Qihang Zhou Shenhao Fang Shibo He Wenchao Meng Jiming Chen FedML DD 266 1 0 29 Nov 2024
Tackling Data Heterogeneity in Federated Time Series Forecasting Wei Yuan Guanhua Ye Xiangyu Zhao Quoc Viet Hung Nguyen Yang Cao Hongzhi Yin AI4TS 181 2 0 24 Nov 2024
Zero-Shot Coreset Selection: Efficient Pruning for Unlabeled Data Brent A. Griffin Jacob Marks Jason J. Corso VLM 176 6 0 22 Nov 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 139 3 0 18 Nov 2024
Color-Oriented Redundancy Reduction in Dataset Distillation Bowen Yuan Zijian Wang Mahsa Baktashmotlagh Yadan Luo Zi Huang DD 350 3 0 18 Nov 2024
Offline Behavior Distillation Shiye Lei Sen Zhang Dacheng Tao OffRL 110 0 0 30 Oct 2024
Influential Language Data Selection via Gradient Trajectory Pursuit Zhiwei Deng Tao Li Yang Li 144 1 0 22 Oct 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 205 10 0 22 Oct 2024
Are Large-scale Soft Labels Necessary for Large-scale Dataset Distillation? Lingao Xiao Yang He DD 163 8 0 21 Oct 2024
What's New in My Data? Novelty Exploration via Contrastive Generation Masaru Isonuma Ivan Titov 90 0 0 18 Oct 2024
RAZOR: Refining Accuracy by Zeroing Out Redundancies Daniel Riccio Genoveffa Tortora Mara Sangiovanni 68 0 0 18 Oct 2024
GDeR: Safeguarding Efficiency, Balancing, and Robustness via Prototypical Graph Pruning Guibin Zhang Haonan Dong Yuchen Zhang Zhixun Li Dingshuo Chen Kai Wang Tianlong Chen Yuxuan Liang Dawei Cheng Kun Wang 173 5 0 17 Oct 2024
Enhancing Dataset Distillation via Label Inconsistency Elimination and Learning Pattern Refinement Chuhao Zhou Chenxi Jiang Yi Xie Haozhi Cao Jianfei Yang DD 108 1 0 17 Oct 2024
Multi-modal Vision Pre-training for Medical Image Analysis Shaohao Rui Lingzhi Chen Zhenyu Tang Lilong Wang M. Liu Shanghang Zhang Xiaosong Wang 138 3 0 14 Oct 2024