SelMatch: Effectively Scaling Up Dataset Distillation via Selection-Based Initialization and Partial Updates by Trajectory Matching

28 May 2024

Papers citing "SelMatch: Effectively Scaling Up Dataset Distillation via Selection-Based Initialization and Partial Updates by Trajectory Matching"

6 / 6 papers shown

Title
A Large-Scale Study on Video Action Dataset Condensation Yang Chen Sheng Guo Bo Zheng Limin Wang DD 77 2 0 13 Mar 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 62 4 0 22 Oct 2024
Generative Dataset Distillation Based on Diffusion Model Duo Su Junjie Hou Guang Li Ren Togo Rui Song Takahiro Ogawa Miki Haseyama VGen DD 28 4 0 16 Aug 2024
BWS: Best Window Selection Based on Sample Scores for Data Pruning across Broad Ranges Hoyong Choi Nohyun Ki Hye Won Chung 27 2 0 05 Jun 2024
GRAD-MATCH: Gradient Matching based Data Subset Selection for Efficient Deep Model Training Krishnateja Killamsetty D. Sivasubramanian Ganesh Ramakrishnan A. De Rishabh K. Iyer OOD 83 184 0 27 Feb 2021
Dataset Condensation with Differentiable Siamese Augmentation Bo-Lu Zhao Hakan Bilen DD 189 288 0 16 Feb 2021