ATOM: Attention Mixer for Efficient Dataset Distillation

ATOM: Attention Mixer for Efficient Dataset Distillation

2 May 2024

Konstantinos N. Plataniotis

Papers citing "ATOM: Attention Mixer for Efficient Dataset Distillation"

9 / 9 papers shown

Title
Decomposed Distribution Matching in Dataset Condensation Sahar Rahimi Malakshan Mohammad Saeed Ebrahimi Saadabadi Ali Dabouei Nasser M. Nasrabadi DD 69 1 0 06 Dec 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
GSTAM: Efficient Graph Distillation with Structural Attention-Matching Arash Rasti-Meymandi A. Sajedi Zhaopan Xu Konstantinos N. Plataniotis 18 0 0 29 Aug 2024
Generalizing Dataset Distillation via Deep Generative Prior George Cazenavette Tongzhou Wang Antonio Torralba Alexei A. Efros Jun-Yan Zhu DD 88 44 0 02 May 2023
DiM: Distilling Dataset into Generative Model Kai Wang Jianyang Gu Daquan Zhou Zheng Hua Zhu Wei Jiang Yang You DD 39 40 0 08 Mar 2023
Dataset Condensation via Efficient Synthetic-Data Parameterization Jang-Hyun Kim Jinuk Kim Seong Joon Oh Sangdoo Yun Hwanjun Song Joonhyun Jeong Jung-Woo Ha Hyun Oh Song DD 375 155 0 30 May 2022
CONetV2: Efficient Auto-Channel Size Optimization for CNNs Yi Ru Wang Samir Khaki Weihang Zheng Mahdi S. Hosseini Konstantinos N. Plataniotis 24 6 0 13 Oct 2021
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 78 184 0 27 Feb 2021
Dataset Condensation with Differentiable Siamese Augmentation Bo-Lu Zhao Hakan Bilen DD 189 288 0 16 Feb 2021