Dataset Distillation by Matching Training Trajectories

22 March 2022

Antonio Torralba

Jun-Yan Zhu

Papers citing "Dataset Distillation by Matching Training Trajectories"

50 / 259 papers shown

Title
Koopcon: A new approach towards smarter and less complex learning Vahid Jebraeeli Bo-Wei Jiang D. Cansever Hamid Krim DD 26 1 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 39 7 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 58 6 0 19 May 2024
Federated Graph Condensation with Information Bottleneck Principles Bo Yan DD FedML 45 4 0 07 May 2024
Interpretable Data Fusion for Distributed Learning: A Representative Approach via Gradient Matching Mengchen Fan Baocheng Geng Keren Li Xueqian Wang Pramod K. Varshney FaML FedML 29 0 0 06 May 2024
Stable Diffusion Dataset Generation for Downstream Classification Tasks Eugenio Lomurno Matteo DÓria Matteo Matteucci 35 8 0 04 May 2024
ATOM: Attention Mixer for Efficient Dataset Distillation Samir Khaki A. Sajedi Kai Wang Lucy Z. Liu Y. Lawryshyn Konstantinos N. Plataniotis 47 3 0 02 May 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 25 29 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 42 5 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 38 1 0 22 Apr 2024
Ungeneralizable Examples Jing Ye Xinchao Wang 38 4 0 22 Apr 2024
QCore: Data-Efficient, On-Device Continual Calibration for Quantized Models -- Extended Version David Campos Bin Yang Tung Kieu Miao Zhang Chenjuan Guo Christian S. Jensen 39 7 0 22 Apr 2024
Coreset Selection for Object Detection Hojun Lee Suyoung Kim Junhoo Lee Jaeyoung Yoo Nojun Kwak 38 4 0 14 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 50 14 0 31 Mar 2024
DiLM: Distilling Dataset into Language Model for Text-level Dataset Distillation Aru Maekawa Satoshi Kosugi Kotaro Funakoshi Manabu Okumura DD 43 10 0 30 Mar 2024
Deep Support Vectors Junhoo Lee Hyunho Lee Kyomin Hwang Nojun Kwak 46 0 0 26 Mar 2024
A Study in Dataset Pruning for Image Super-Resolution Brian B. Moser Federico Raue Andreas Dengel SupR 44 4 0 25 Mar 2024
Exploring the Impact of Dataset Bias on Dataset Distillation Yao Lu Jianyang Gu Xuguang Chen Saeed Vahidian Qi Xuan DD 38 3 0 24 Mar 2024
Progressive trajectory matching for medical dataset distillation Zhennaan Yu Yang Liu Qingchao Chen DD 42 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 40 5 0 20 Mar 2024
Distilling Datasets Into Less Than One Image Asaf Shul Eliahu Horwitz Yedid Hoshen DD 34 2 0 18 Mar 2024
Towards Adversarially Robust Dataset Distillation by Curvature Regularization Eric Xue Yijiang Li Haoyang Liu Yifan Shen Haohan Wang Haohan Wang DD 61 8 0 15 Mar 2024
Graph Data Condensation via Self-expressive Graph Structure Reconstruction Zhanyu Liu Chaolv Zeng Guanjie Zheng DD 64 11 0 12 Mar 2024
Dataset Condensation for Time Series Classification via Dual Domain Matching Zhanyu Liu Ke Hao Guanjie Zheng Yanwei Yu DD 69 5 0 12 Mar 2024
One Category One Prompt: Dataset Distillation using Diffusion Models Ali Abbasi Ashkan Shahbazi Hamed Pirsiavash Soheil Kolouri DiffM DD 40 3 0 11 Mar 2024
Multisize Dataset Condensation Yang He Lingao Xiao Qiufeng Wang Ivor Tsang AI4CE DD 33 11 0 10 Mar 2024
Latent Dataset Distillation with Diffusion Models Brian B. Moser Federico Raue Sebastián M. Palacio Stanislav Frolov Andreas Dengel DD 54 12 0 06 Mar 2024
Distributional Dataset Distillation with Subtask Decomposition Tian Qin Zhiwei Deng David Alvarez-Melis DD 98 4 0 01 Mar 2024
Comparing Importance Sampling Based Methods for Mitigating the Effect of Class Imbalance Indu Panigrahi Richard Zhu 32 1 0 28 Feb 2024
Is Adversarial Training with Compressed Datasets Effective? Tong Chen Raghavendra Selvan AAML 52 0 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 32 23 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 71 13 0 07 Feb 2024
Group Distributionally Robust Dataset Distillation with Risk Minimization Saeed Vahidian Mingyu Wang Jianyang Gu Vyacheslav Kungurtsev Wei Jiang Yiran Chen OOD DD 33 6 0 07 Feb 2024
EXGC: Bridging Efficiency and Explainability in Graph Condensation Fan Zhang Xinglin Li Yongduo Sui Yuan Gao Guibin Zhang Kun Wang Xiang Wang Xiangnan He DD 53 19 0 05 Feb 2024
Dataset Condensation Driven Machine Unlearning Junaid Iqbal Khan DD 38 1 0 31 Jan 2024
Importance-Aware Adaptive Dataset Distillation Guang Li Ren Togo Takahiro Ogawa Miki Haseyama DD 28 6 0 29 Jan 2024
Disentangled Condensation for Large-scale Graphs Zhenbang Xiao Shunyu Liu Yu Wang Tongya Zheng Mingli Song Mingli Song Tongya Zheng DD 81 6 0 18 Jan 2024
MIM4DD: Mutual Information Maximization for Dataset Distillation Yuzhang Shang Zhihang Yuan Yan Yan DD 35 13 0 27 Dec 2023
M3D: Dataset Condensation by Minimizing Maximum Mean Discrepancy Hansong Zhang Shikun Li Pengju Wang Dan Zeng Shiming Ge DD 19 21 0 26 Dec 2023
Federated Learning with Projected Trajectory Regularization Tiejin Chen Yuanpu Cao Yujia Wang Cho-Jui Hsieh Jinghui Chen FedML 21 0 0 22 Dec 2023
DCFL: Non-IID awareness Data Condensation aided Federated Learning Shaohan Sha YaFeng Sun FedML DD 26 0 0 21 Dec 2023
Dataset Distillation via Adversarial Prediction Matching Mingyang Chen Bo Huang Junda Lu Bing Li Yi Wang Minhao Cheng Wei Wang DD 18 5 0 14 Dec 2023
Towards Model-Based Data Acquisition for Subjective Multi-Task NLP Problems Kamil Kanclerz Julita Bielaniewicz Marcin Gruza Jan Kocoñ Stanislaw Wo'zniak Przemyslaw Kazienko 26 3 0 13 Dec 2023
Boosting the Cross-Architecture Generalization of Dataset Distillation through an Empirical Study Lirui Zhao Yu-xin Zhang Rongrong Ji Rongrong Ji 32 1 0 09 Dec 2023
On the Diversity and Realism of Distilled Dataset: An Efficient Dataset Distillation Paradigm Peng Sun Bei Shi Daiwei Yu Tao Lin DD 17 37 0 06 Dec 2023
Unlocking the Potential of Federated Learning: The Symphony of Dataset Distillation via Deep Generative Latents Yuqi Jia Saeed Vahidian Jingwei Sun Jianyi Zhang Vyacheslav Kungurtsev Neil Zhenqiang Gong Yiran Chen FedML DD 23 6 0 03 Dec 2023
REDUCR: Robust Data Downsampling Using Class Priority Reweighting William Bankes George Hughes Ilija Bogunovic Zi Wang 28 3 0 01 Dec 2023
Dancing with Still Images: Video Distillation via Static-Dynamic Disentanglement Ziyu Wang Yue Xu Cewu Lu Yong-Lu Li DD 33 8 0 01 Dec 2023
Dataset Distillation via the Wasserstein Metric Haoyang Liu Yijiang Li Tiancheng Xing Vibhu Dalal Luwei Li Jingrui He Haohan Wang DD 43 12 0 30 Nov 2023
Discovering Galaxy Features via Dataset Distillation Haowen Guan Xuan Zhao Zishi Wang Zhiyang Li Julia Kempe DD 26 2 0 29 Nov 2023