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
Leveraging Multi-Modal Information to Enhance Dataset Distillation Zhe Li Hadrien Reynaud Bernhard Kainz DD 45 0 0 13 May 2025
Dataset Distillation with Probabilistic Latent Features Zhe Li Sarah Cechnicka C. Ouyang Katharina Breininger Peter J. Schüffler Bernhard Kainz DD 44 0 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 49 0 0 10 May 2025
CAE-DFKD: Bridging the Transferability Gap in Data-Free Knowledge Distillation Zherui Zhang Changwei Wang Rongtao Xu W. Xu Shibiao Xu Yu Zhang Li Guo 39 1 0 30 Apr 2025
m-KAILIN: Knowledge-Driven Agentic Scientific Corpus Distillation Framework for Biomedical Large Language Models Training Meng Xiao Xunxin Cai Chengrui Wang Yuanchun Zhou 48 0 0 28 Apr 2025
Latent Video Dataset Distillation Ning Li Antai Andy Liu Jingran Zhang Justin Cui DD VGen 65 0 0 23 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 36 0 0 14 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 26 0 0 14 Apr 2025
Permutation-Invariant and Orientation-Aware Dataset Distillation for 3D Point Clouds Jae-Young Yim Dongwook Kim Jae-Young Sim DD 3DPC 49 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 72 0 0 24 Mar 2025
Dataset Distillation for Quantum Neural Networks Koustubh Phalak Junde Li Swaroop Ghosh DD 52 0 0 23 Mar 2025
SCORE: Soft Label Compression-Centric Dataset Condensation via Coding Rate Optimization Bowen Yuan Yuxia Fu Zijian Wang Yadan Luo Zi Huang DD 70 0 0 18 Mar 2025
Condensing Action Segmentation Datasets via Generative Network Inversion Guodong Ding Rongyu Chen Angela Yao DD 60 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 57 0 0 15 Mar 2025
A Large-Scale Study on Video Action Dataset Condensation Yang Chen Sheng Guo Bo Zheng Limin Wang DD 77 2 0 13 Mar 2025
Finding the Muses: Identifying Coresets through Loss Trajectories M. Nagaraj Deepak Ravikumar Efstathia Soufleri Kaushik Roy 36 0 0 12 Mar 2025
Distilling Dataset into Neural Field DongHyeok Shin Heesun Bae Gyuwon Sim Wanmo Kang Il-Chul Moon DD 68 1 0 05 Mar 2025
Understanding Dataset Distillation via Spectral Filtering Deyu Bo Songhua Liu Xinchao Wang DD 77 0 0 03 Mar 2025
Training-Free Dataset Pruning for Instance Segmentation Yalun Dai Lingao Xiao Ivor W. Tsang Yang He ISeg 48 0 0 02 Mar 2025
Dataset Distillation with Neural Characteristic Function: A Minmax Perspective Shaobo Wang Yicun Yang Z. Liu Chenghao Sun Xuming Hu Conghui He L. Zhang DD 47 2 0 28 Feb 2025
Variational Bayesian Pseudo-Coreset Hyungi Lee S. Lee Juho Lee BDL 38 0 0 28 Feb 2025
Secure Federated Data Distillation Marco Arazzi Mert Cihangiroglu S. Nicolazzo Antonino Nocera FedML DD 98 0 0 19 Feb 2025
Does Training with Synthetic Data Truly Protect Privacy? Yunpeng Zhao Jie Zhang 80 0 0 18 Feb 2025
Dark Distillation: Backdooring Distilled Datasets without Accessing Raw Data Ziyuan Yang Ming Yan Yi Zhang Joey Tianyi Zhou DD 56 0 0 06 Feb 2025
Graph Condensation: A Survey Xin Gao Junliang Yu Wei Jiang Tong Chen Wentao Zhang Hongzhi Yin DD 85 19 0 28 Jan 2025
On Learning Representations for Tabular Data Distillation Inwon Kang Parikshit Ram Yi Zhou Horst Samulowitz O. Seneviratne DD 59 0 0 23 Jan 2025
Elucidating the Design Space of Dataset Condensation Shitong Shao Zikai Zhou Huanran Chen Zhiqiang Shen DD 54 7 0 20 Jan 2025
Dataset Distillation via Committee Voting Jiacheng Cui Zhaoyi Li Xiaochen Ma Xinyue Bi Yaxin Luo Zhiqiang Shen DD FedML 49 1 0 13 Jan 2025
Generative Dataset Distillation Based on Self-knowledge Distillation Longzhen Li G. Li Ren Togo Keisuke Maeda Takahiro Ogawa Miki Haseyama DD 44 0 0 08 Jan 2025
Towards Mitigating Architecture Overfitting on Distilled Datasets Xuyang Zhong Chen Liu DD 55 2 0 08 Jan 2025
HuatuoGPT-o1, Towards Medical Complex Reasoning with LLMs Junying Chen Zhenyang Cai Ke Ji X. Wang Wanlong Liu Rongsheng Wang Jianye Hou Benyou Wang LRM 30 0 0 25 Dec 2024
Adaptive Dataset Quantization Muquan Li Dongyang Zhang Qiang Dong Xiurui Xie Ke Qin DD MQ 88 0 0 22 Dec 2024
Decomposed Distribution Matching in Dataset Condensation Sahar Rahimi Malakshan Mohammad Saeed Ebrahimi Saadabadi Ali Dabouei Nasser M. Nasrabadi DD 71 1 0 06 Dec 2024
FairDD: Fair Dataset Distillation via Synchronized Matching Qihang Zhou Shenhao Fang Shibo He Wenchao Meng Jiming Chen FedML DD 79 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 72 0 0 24 Nov 2024
Zero-Shot Coreset Selection: Efficient Pruning for Unlabeled Data Brent A. Griffin Jacob Marks Jason J. Corso VLM 74 2 0 22 Nov 2024
Label Distribution Shift-Aware Prediction Refinement for Test-Time Adaptation M-U Jang Hye Won Chung TTA 174 0 0 20 Nov 2024
Color-Oriented Redundancy Reduction in Dataset Distillation Bowen Yuan Zijian Wang Mahsa Baktashmotlagh Yadan Luo Zi Huang DD 78 2 0 18 Nov 2024
Learning Video Representations without Natural Videos Xueyang Yu Xinlei Chen Yossi Gandelsman VGen AI4TS 51 0 0 31 Oct 2024
Offline Behavior Distillation Shiye Lei Sen Zhang Dacheng Tao OffRL 36 0 0 30 Oct 2024
Multi-Level Feature Distillation of Joint Teachers Trained on Distinct Image Datasets Adrian Iordache B. Alexe Radu Tudor Ionescu 31 1 0 29 Oct 2024
Influential Language Data Selection via Gradient Trajectory Pursuit Zhiwei Deng Tao Li Yang Li 26 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 62 4 0 22 Oct 2024
Are Large-scale Soft Labels Necessary for Large-scale Dataset Distillation? Lingao Xiao Yang He DD 32 5 0 21 Oct 2024
Hybrid Memory Replay: Blending Real and Distilled Data for Class Incremental Learning Jiangtao Kong Jiacheng Shi Ashley Gao Shaohan Hu Tianyi Zhou Huajie Shao VLM DD 36 1 0 20 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 32 3 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 29 1 0 17 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 29 1 0 15 Oct 2024
DistDD: Distributed Data Distillation Aggregation through Gradient Matching Peiran Wang Haohan Wang FedML DD 26 1 0 11 Oct 2024
Teddy: Efficient Large-Scale Dataset Distillation via Taylor-Approximated Matching Ruonan Yu Songhua Liu Jingwen Ye Xinchao Wang DD 32 4 0 10 Oct 2024