Dataset Distillation by Matching Training Trajectories

Dataset Distillation by Matching Training Trajectories

22 March 2022

George Cazenavette

Antonio Torralba

Alexei A. Efros

Jun-Yan Zhu

Papers citing "Dataset Distillation by Matching Training Trajectories"

9 / 259 papers shown

Title
Dataset Pruning: Reducing Training Data by Examining Generalization Influence Shuo Yang Zeke Xie Hanyu Peng Minjing Xu Mingming Sun P. Li DD 152 106 0 19 May 2022
Synthesizing Informative Training Samples with GAN Bo-Lu Zhao Hakan Bilen DD 31 74 0 15 Apr 2022
CAFE: Learning to Condense Dataset by Aligning Features Kai Wang Bo-Lu Zhao Xiangyu Peng Zheng Zhu Shuo Yang Shuo Wang Guan Huang Hakan Bilen Xinchao Wang Yang You DD 29 0 0 03 Mar 2022
TOFU: Towards Obfuscated Federated Updates by Encoding Weight Updates into Gradients from Proxy Data Isha Garg M. Nagaraj Kaushik Roy FedML 28 1 0 21 Jan 2022
Graph Condensation for Graph Neural Networks Wei Jin Lingxiao Zhao Shichang Zhang Yozen Liu Jiliang Tang Neil Shah DD AI4CE 27 147 0 14 Oct 2021
Dataset Condensation with Distribution Matching Bo-Lu Zhao Hakan Bilen DD 21 282 0 08 Oct 2021
Dataset Condensation with Differentiable Siamese Augmentation Bo-Lu Zhao Hakan Bilen DD 199 288 0 16 Feb 2021
DeepMimic: Example-Guided Deep Reinforcement Learning of Physics-Based Character Skills Xue Bin Peng Pieter Abbeel Sergey Levine M. van de Panne AI4CE 175 495 0 08 Apr 2018
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 341 11,684 0 09 Mar 2017