Dataset Condensation with Differentiable Siamese Augmentation

16 February 2021

Papers citing "Dataset Condensation with Differentiable Siamese Augmentation"

20 / 70 papers shown

Title
Meta Knowledge Condensation for Federated Learning Ping Liu Xin Yu Qiufeng Wang DD FedML 30 28 0 29 Sep 2022
Compressed Gastric Image Generation Based on Soft-Label Dataset Distillation for Medical Data Sharing Guang Li Ren Togo Takahiro Ogawa Miki Haseyama DD 32 40 0 29 Sep 2022
Dataset Condensation with Latent Space Knowledge Factorization and Sharing Haebeom Lee Dong Bok Lee Sung Ju Hwang DD 21 37 0 21 Aug 2022
FedDM: Iterative Distribution Matching for Communication-Efficient Federated Learning Yuanhao Xiong Ruochen Wang Minhao Cheng Felix X. Yu Cho-Jui Hsieh FedML DD 50 82 0 20 Jul 2022
DC-BENCH: Dataset Condensation Benchmark Justin Cui Ruochen Wang Si Si Cho-Jui Hsieh DD 40 72 0 20 Jul 2022
Condensing Graphs via One-Step Gradient Matching Wei Jin Xianfeng Tang Haoming Jiang Zheng Li Danqing Zhang Jiliang Tang Bin Ying DD 31 98 0 15 Jun 2022
Remember the Past: Distilling Datasets into Addressable Memories for Neural Networks Zhiwei Deng Olga Russakovsky FedML DD 41 92 0 06 Jun 2022
Infinite Recommendation Networks: A Data-Centric Approach Noveen Sachdeva Mehak Preet Dhaliwal Carole-Jean Wu Julian McAuley DD 33 28 0 03 Jun 2022
Dataset Distillation using Neural Feature Regression Yongchao Zhou E. Nezhadarya Jimmy Ba DD FedML 41 149 0 01 Jun 2022
Efficient Scheduling of Data Augmentation for Deep Reinforcement Learning Byungchan Ko Jungseul Ok OnRL 18 5 0 01 Jun 2022
Privacy for Free: How does Dataset Condensation Help Privacy? Tian Dong Bo-Lu Zhao Lingjuan Lyu DD 24 113 0 01 Jun 2022
Synthesizing Informative Training Samples with GAN Bo-Lu Zhao Hakan Bilen DD 37 74 0 15 Apr 2022
Data-Centric Green AI: An Exploratory Empirical Study Roberto Verdecchia Luís Cruz June Sallou Michelle Lin James Wickenden Estelle Hotellier 22 40 0 06 Apr 2022
Generalizing Few-Shot NAS with Gradient Matching Shou-Yong Hu Ruochen Wang Lanqing Hong Zhenguo Li Cho-Jui Hsieh Jiashi Feng 25 23 0 29 Mar 2022
Dataset Distillation by Matching Training Trajectories George Cazenavette Tongzhou Wang Antonio Torralba Alexei A. Efros Jun-Yan Zhu FedML DD 76 363 0 22 Mar 2022
When less is more: Simplifying inputs aids neural network understanding R. Schirrmeister Rosanne Liu Sara Hooker T. Ball 24 5 0 14 Jan 2022
The Augmented Image Prior: Distilling 1000 Classes by Extrapolating from a Single Image Yuki M. Asano Aaqib Saeed 43 7 0 01 Dec 2021
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 Distillation with Infinitely Wide Convolutional Networks Timothy Nguyen Roman Novak Lechao Xiao Jaehoon Lee DD 49 229 0 27 Jul 2021
Distilled Replay: Overcoming Forgetting through Synthetic Samples Andrea Rosasco Antonio Carta Andrea Cossu Vincenzo Lomonaco D. Bacciu DD 19 47 0 29 Mar 2021