Minimizing the Accumulated Trajectory Error to Improve Dataset Distillation

20 November 2022

Vincent Y. F. Tan

Haizhou Li

Papers citing "Minimizing the Accumulated Trajectory Error to Improve Dataset Distillation"

25 / 25 papers shown

Title
Leveraging Multi-Modal Information to Enhance Dataset Distillation Zhe Li Hadrien Reynaud Bernhard Kainz DD 47 0 0 13 May 2025
Dataset Distillation with Probabilistic Latent Features Zhe Li Sarah Cechnicka Cheng Ouyang Katharina Breininger Peter Schüffler Bernhard Kainz DD 47 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 52 0 0 10 May 2025
When Dynamic Data Selection Meets Data Augmentation Steve Yang Peng Ye Furao Shen Dongzhan Zhou 34 0 0 02 May 2025
Dataset Distillation via Committee Voting Jiacheng Cui Zhaoyi Li Xiaochen Ma Xinyue Bi Yaxin Luo Zhiqiang Shen DD FedML 51 1 0 13 Jan 2025
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 70 4 0 22 Oct 2024
Teddy: Efficient Large-Scale Dataset Distillation via Taylor-Approximated Matching Ruonan Yu Songhua Liu Jingwen Ye Xinchao Wang DD 40 4 0 10 Oct 2024
Dataset Distillation via Knowledge Distillation: Towards Efficient Self-Supervised Pre-Training of Deep Networks S. Joshi Jiayi Ni Baharan Mirzasoleiman DD 72 2 0 03 Oct 2024
Distilling Long-tailed Datasets Zhenghao Zhao Haoxuan Wang Yuzhang Shang Kai Wang Yan Yan DD 48 2 0 24 Aug 2024
Breaking Class Barriers: Efficient Dataset Distillation via Inter-Class Feature Compensator Xin Zhang Jiawei Du Ping Liu Joey Tianyi Zhou DD 55 2 0 13 Aug 2024
A Label is Worth a Thousand Images in Dataset Distillation Tian Qin Zhiwei Deng David Alvarez-Melis DD 94 10 0 15 Jun 2024
SelMatch: Effectively Scaling Up Dataset Distillation via Selection-Based Initialization and Partial Updates by Trajectory Matching Yongmin Lee Hye Won Chung 31 7 0 28 May 2024
ATOM: Attention Mixer for Efficient Dataset Distillation Samir Khaki A. Sajedi Kai Wang Lucy Z. Liu Y. Lawryshyn Konstantinos N. Plataniotis 50 3 0 02 May 2024
Navigating Complexity: Toward Lossless Graph Condensation via Expanding Window Matching Yuchen Zhang Tianle Zhang Kai Wang Ziyao Guo Keli Zhang Xavier Bresson Wei Jin Yang You 37 23 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 41 6 0 07 Feb 2024
Deductive Beam Search: Decoding Deducible Rationale for Chain-of-Thought Reasoning Tinghui Zhu Kai Zhang Jian Xie Yu-Chuan Su LRM 28 15 0 31 Jan 2024
Spanning Training Progress: Temporal Dual-Depth Scoring (TDDS) for Enhanced Dataset Pruning Xin Zhang Jiawei Du Yunsong Li Weiying Xie Qiufeng Wang 37 7 0 22 Nov 2023
AST: Effective Dataset Distillation through Alignment with Smooth and High-Quality Expert Trajectories Jiyuan Shen Wenzhuo Yang Kwok-Yan Lam DD 33 1 0 16 Oct 2023
Towards Efficient Deep Hashing Retrieval: Condensing Your Data via Feature-Embedding Matching Tao Feng Jie Zhang Peizheng Wang Zhijie Wang Shengyuan Pang DD 53 0 0 29 May 2023
Dataset Distillation: A Comprehensive Review Ruonan Yu Songhua Liu Xinchao Wang DD 53 121 0 17 Jan 2023
A Comprehensive Survey of Dataset Distillation Shiye Lei Dacheng Tao DD 31 88 0 13 Jan 2023
Dataset Distillation Using Parameter Pruning Guang Li Ren Togo Takahiro Ogawa Miki Haseyama DD 42 20 0 29 Sep 2022
Efficient Sharpness-aware Minimization for Improved Training of Neural Networks Jiawei Du Hanshu Yan Jiashi Feng Qiufeng Wang Liangli Zhen Rick Siow Mong Goh Vincent Y. F. Tan AAML 113 132 0 07 Oct 2021
Dataset Condensation with Differentiable Siamese Augmentation Bo Zhao Hakan Bilen DD 205 288 0 16 Feb 2021
On Large-Batch Training for Deep Learning: Generalization Gap and Sharp Minima N. Keskar Dheevatsa Mudigere J. Nocedal M. Smelyanskiy P. T. P. Tang ODL 308 2,890 0 15 Sep 2016