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In this paper, we introduce a novel approach for systematically solving dataset condensation problem in an efficient manner by exploiting the regularity in a given dataset.
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Arthur Gretton, Karsten M Borgwardt, Malte J Rasch, Bernhard Schölkopf, and Alexander Smola · 2012
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Timothy Nguyen, Roman Novak, Lechao Xiao, and Jaehoon Lee · 2021
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Bo Zhao and Hakan Bilen · 2021
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Bo Zhao, Konda Reddy Mopuri, and Hakan Bilen · 2021
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Dataset distillation by matching training trajectories
George Cazenavette, Tongzhou Wang, Antonio Torralba, Alexei A Efros, and Jun-Yan Zhu · 2022
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Dataset condensation via efficient synthetic-data parameterization
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Anirudh Goyal, Aniket Didolkar, Nan Rosemary Ke, Charles Blundell, Philippe Beaudoin, Nicolas Heess, Michael C Mozer, and Yoshua Bengio
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Factorizing declarative and procedural knowledge in structured, dynamical environments
Anirudh Goyal, Alex Lamb, Phanideep Gampa, Philippe Beaudoin, Charles Blundell, Sergey Levine, Yoshua Bengio, and Michael Curtis Mozer
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Dataset condensation with distribution matching, 2022
Bo Zhao and Hakan Bilen · 2022
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