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
Low-Rank Similarity Mining for Multimodal Dataset Distillation Yue Xu Zhilin Lin Yusong Qiu Cewu Lu Yong-Lu Li DD 126 7 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 94 1 0 05 Jun 2024
PrE-Text: Training Language Models on Private Federated Data in the Age of LLMs Charlie Hou Akshat Shrivastava Hongyuan Zhan Rylan Conway Trang Le Adithya Sagar Giulia Fanti Daniel Lazar 155 19 0 05 Jun 2024
One-Shot Federated Learning with Bayesian Pseudocoresets Tim d'Hondt Mykola Pechenizkiy Robert Peharz FedML 117 0 0 04 Jun 2024
CondTSF: One-line Plugin of Dataset Condensation for Time Series Forecasting Jianrong Ding Zhanyu Liu Guanjie Zheng Haiming Jin Linghe Kong AI4TS DD 155 3 0 04 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 146 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 128 10 0 03 Jun 2024
Learning on Large Graphs using Intersecting Communities Ben Finkelshtein .Ismail .Ilkan Ceylan Michael M. Bronstein Ron Levie GNN 104 7 0 31 May 2024
SelMatch: Effectively Scaling Up Dataset Distillation via Selection-Based Initialization and Partial Updates by Trajectory Matching Yongmin Lee Hye Won Chung 159 14 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 116 2 0 27 May 2024
Spectral Greedy Coresets for Graph Neural Networks Mucong Ding Yinhan He Jundong Li Furong Huang 122 3 0 27 May 2024
Enabling On-Device Learning via Experience Replay with Efficient Dataset Condensation Gelei Xu Ningzhi Tang Jun Xia Wei Jin Yiyu Shi DD 120 0 0 25 May 2024
Efficiency for Free: Ideal Data Are Transportable Representations Peng Sun Yi Jiang Tao Lin DD 174 2 0 23 May 2024
GCondenser: Benchmarking Graph Condensation Yilun Liu Ruihong Qiu Zi Huang DD 155 8 0 23 May 2024
GIFT: Unlocking Full Potential of Labels in Distilled Dataset at Near-zero Cost Xinyi Shang Peng Sun Tao Lin 187 3 0 23 May 2024
Koopcon: A new approach towards smarter and less complex learning Vahid Jebraeeli Bo-Wei Jiang D. Cansever Hamid Krim DD 93 2 0 22 May 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 223 16 0 22 May 2024
Overcoming Data and Model Heterogeneities in Decentralized Federated Learning via Synthetic Anchors Chun-Yin Huang Kartik Srinivas Xin Zhang Xiaoxiao Li DD 182 13 0 19 May 2024
Federated Graph Condensation with Information Bottleneck Principles Bo Yan DD FedML 108 6 0 07 May 2024
Interpretable Data Fusion for Distributed Learning: A Representative Approach via Gradient MatchingFusion (FUSION), 2025 Mengchen Fan Baocheng Geng Keren Li Xueqian Wang Pramod K. Varshney FaML FedML 102 2 0 06 May 2024
TED: Accelerate Model Training by Internal Generalization Jinying Xiao Ping Li Jie Nie VLM 88 0 0 06 May 2024
ATOM: Attention Mixer for Efficient Dataset Distillation Samir Khaki A. Sajedi Kai Wang Lucy Z. Liu Y. Lawryshyn Konstantinos N. Plataniotis 216 4 0 02 May 2024
Let's Focus: Focused Backdoor Attack against Federated Transfer Learning Marco Arazzi Stefanos Koffas Antonino Nocera S. Picek AAML FedML 89 4 0 30 Apr 2024
An Aggregation-Free Federated Learning for Tackling Data Heterogeneity Yuan Wang Huazhu Fu Renuga Kanagavelu Qingsong Wei Yong Liu Rick Siow Mong Goh FedML 94 41 0 29 Apr 2024
Generative Dataset Distillation: Balancing Global Structure and Local Details Longzhen Li Guang Li Ren Togo Keisuke Maeda Takahiro Ogawa Miki Haseyama DD 107 9 0 26 Apr 2024
Distilled Datamodel with Reverse Gradient Matching Jingwen Ye Ruonan Yu Songhua Liu Xinchao Wang DD 145 3 0 22 Apr 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 145 23 0 31 Mar 2024
DiLM: Distilling Dataset into Language Model for Text-level Dataset Distillation Aru Maekawa Satoshi Kosugi Kotaro Funakoshi Manabu Okumura DD 167 17 0 30 Mar 2024
Deep Support Vectors Junhoo Lee Hyunho Lee Kyomin Hwang Nojun Kwak 133 0 0 26 Mar 2024
A Study in Dataset Pruning for Image Super-Resolution Brian B. Moser Federico Raue Andreas Dengel SupR 162 10 0 25 Mar 2024
Exploring the Impact of Dataset Bias on Dataset Distillation Yao Lu Jianyang Gu Xuguang Chen Saeed Vahidian Qi Xuan DD 89 3 0 24 Mar 2024
Simple Graph Condensation Zhenbang Xiao Yu Wang Shunyu Liu Huiqiong Wang Mingli Song Tongya Zheng DD 189 9 0 22 Mar 2024
Progressive trajectory matching for medical dataset distillation Zhennaan Yu Yang Liu Qingchao Chen DD 98 5 0 20 Mar 2024
DD-RobustBench: An Adversarial Robustness Benchmark for Dataset Distillation Yifan Wu Jiawei Du Ping Liu Yuewei Lin Wenqing Cheng Wei Xu DD AAML 152 5 0 20 Mar 2024
Distilling Datasets Into Less Than One Image Asaf Shul Eliahu Horwitz Yedid Hoshen DD 101 2 0 18 Mar 2024
Just Say the Name: Online Continual Learning with Category Names Only via Data Generation Minhyuk Seo Diganta Misra Seongwon Cho Minjae Lee Jonghyun Choi CLL 167 11 0 16 Mar 2024
Towards Adversarially Robust Dataset Distillation by Curvature Regularization Eric Xue Yijiang Li Haoyang Liu Yifan Shen Haohan Wang Haohan Wang DD 291 14 0 15 Mar 2024
Distilling the Knowledge in Data Pruning Emanuel Ben-Baruch Adam Botach Igor Kviatkovsky Manoj Aggarwal Gérard Medioni 96 2 0 12 Mar 2024
Graph Data Condensation via Self-expressive Graph Structure Reconstruction Zhanyu Liu Chaolv Zeng Guanjie Zheng DD 154 14 0 12 Mar 2024
Dataset Condensation for Time Series Classification via Dual Domain Matching Zhanyu Liu Ke Hao Guanjie Zheng Yanwei Yu DD 165 7 0 12 Mar 2024
One Category One Prompt: Dataset Distillation using Diffusion Models Ali Abbasi Ashkan Shahbazi Hamed Pirsiavash Soheil Kolouri DiffM DD 83 3 0 11 Mar 2024
Multisize Dataset Condensation Yang He Lingao Xiao Qiufeng Wang Ivor Tsang AI4CE DD 122 17 0 10 Mar 2024
GUIDE: Guidance-based Incremental Learning with Diffusion Models Bartosz Cywiński Kamil Deja Tomasz Trzciñski Bartlomiej Twardowski Lukasz Kuciñski DiffM 95 5 0 06 Mar 2024
Unlocking Dataset Distillation with Diffusion Models Brian B. Moser Federico Raue Sebastián M. Palacio Stanislav Frolov Andreas Dengel DD 230 23 0 06 Mar 2024
Distributional Dataset Distillation with Subtask Decomposition Tian Qin Zhiwei Deng David Alvarez-Melis DD 187 5 0 01 Mar 2024
Improve Cross-Architecture Generalization on Dataset Distillation Binglin Zhou Linhao Zhong Wentao Chen DD 118 5 0 20 Feb 2024
In-Context Data Distillation with TabPFN Junwei Ma Valentin Thomas Guangwei Yu M. Volkovs 131 10 0 10 Feb 2024
Is Adversarial Training with Compressed Datasets Effective? Tong Chen Raghavendra Selvan AAML 222 1 0 08 Feb 2024
Navigating Complexity: Toward Lossless Graph Condensation via Expanding Window Matching Yuchen Zhang Tianle Zhang Kai Wang Ziyao Guo Yuxuan Liang Xavier Bresson Wei Jin Yang You 262 31 0 07 Feb 2024
Two Trades is not Baffled: Condensing Graph via Crafting Rational Gradient Matching Tianle Zhang Yuchen Zhang Kun Wang Kai Wang Beining Yang Kaipeng Zhang Wenqi Shao Ping Liu Qiufeng Wang Yang You DD 237 14 0 07 Feb 2024