Hierarchical Features Matter: A Deep Exploration of Progressive Parameterization Method for Dataset Distillation

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Hierarchical Features Matter: A Deep Exploration of Progressive Parameterization Method for Dataset Distillation

9 June 2024

Hao Fang

Bin Chen

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Papers citing "Hierarchical Features Matter: A Deep Exploration of Progressive Parameterization Method for Dataset Distillation"

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Title
Editable-DeepSC: Reliable Cross-Modal Semantic Communications for Facial Editing Bin Chen Wenbo Yu Qinshan Zhang Tianqu Zhuang Yong Jiang Shu-Tao Xia 279 0 0 24 Nov 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 128 5 0 22 Oct 2024
MultiBooth: Towards Generating All Your Concepts in an Image from Text Chenyang Zhu Kai Li Yue Ma Chunming He Li Xiu DiffM 142 26 0 22 Apr 2024
DataDAM: Efficient Dataset Distillation with Attention Matching A. Sajedi Samir Khaki Ehsan Amjadian Lucy Z. Liu Y. Lawryshyn Konstantinos N. Plataniotis DD 121 64 0 29 Sep 2023
A Comprehensive Survey of Dataset Distillation Shiye Lei Dacheng Tao DD 87 91 0 13 Jan 2023
Scaling Up Dataset Distillation to ImageNet-1K with Constant Memory Justin Cui Ruochen Wang Si Si Cho-Jui Hsieh DD 100 137 0 19 Nov 2022
Dataset Distillation using Neural Feature Regression Yongchao Zhou E. Nezhadarya Jimmy Ba DD FedML 81 157 0 01 Jun 2022
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 481 168 0 30 May 2022
Dataset Distillation by Matching Training Trajectories George Cazenavette Tongzhou Wang Antonio Torralba Alexei A. Efros Jun-Yan Zhu FedML DD 182 393 0 22 Mar 2022
StyleGAN-XL: Scaling StyleGAN to Large Diverse Datasets Axel Sauer Katja Schwarz Andreas Geiger 266 512 0 01 Feb 2022
Dataset Condensation with Distribution Matching Bo Zhao Hakan Bilen DD 77 307 0 08 Oct 2021
Using latent space regression to analyze and leverage compositionality in GANs Lucy Chai Jonas Wulff Phillip Isola GAN 83 76 0 18 Mar 2021
Intermediate Layer Optimization for Inverse Problems using Deep Generative Models Giannis Daras Joseph Dean A. Jalal A. Dimakis DRL 216 85 0 15 Feb 2021
GAN Inversion: A Survey Weihao Xia Yulun Zhang Yujiu Yang Jing-Hao Xue Bolei Zhou Ming-Hsuan Yang DiffM 172 516 0 14 Jan 2021
Flexible Dataset Distillation: Learn Labels Instead of Images Ondrej Bohdal Yongxin Yang Timothy M. Hospedales DD 83 110 0 15 Jun 2020
Dynamic Few-Shot Visual Learning without Forgetting Spyros Gidaris N. Komodakis VLM 59 1,130 0 25 Apr 2018
Generative Adversarial Networks: An Overview Antonia Creswell Tom White Vincent Dumoulin Kai Arulkumaran B. Sengupta Anil A Bharath GAN 117 3,051 0 19 Oct 2017
Instance Normalization: The Missing Ingredient for Fast Stylization Dmitry Ulyanov Andrea Vedaldi Victor Lempitsky OOD 177 3,711 0 27 Jul 2016