Dataset Meta-Learning from Kernel Ridge-Regression

30 October 2020

Papers citing "Dataset Meta-Learning from Kernel Ridge-Regression"

17 / 167 papers shown

Title
Condensing Graphs via One-Step Gradient Matching Wei Jin Xianfeng Tang Haoming Jiang Zheng Li Danqing Zhang Jiliang Tang Bin Ying DD 25 98 0 15 Jun 2022
Remember the Past: Distilling Datasets into Addressable Memories for Neural Networks Zhiwei Deng Olga Russakovsky FedML DD 28 92 0 06 Jun 2022
Infinite Recommendation Networks: A Data-Centric Approach Noveen Sachdeva Mehak Preet Dhaliwal Carole-Jean Wu Julian McAuley DD 31 28 0 03 Jun 2022
Dataset Distillation using Neural Feature Regression Yongchao Zhou E. Nezhadarya Jimmy Ba DD FedML 39 149 0 01 Jun 2022
Privacy for Free: How does Dataset Condensation Help Privacy? Tian Dong Bo-Lu Zhao Lingjuan Lyu DD 20 113 0 01 Jun 2022
Semi-Parametric Inducing Point Networks and Neural Processes R. Rastogi Yair Schiff Alon Hacohen Zhaozhi Li I-Hsiang Lee Yuntian Deng M. Sabuncu Volodymyr Kuleshov 3DPC 24 6 0 24 May 2022
Dataset Pruning: Reducing Training Data by Examining Generalization Influence Shuo Yang Zeke Xie Hanyu Peng Minjing Xu Mingming Sun P. Li DD 149 106 0 19 May 2022
Synthesizing Informative Training Samples with GAN Bo-Lu Zhao Hakan Bilen DD 21 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 14 40 0 06 Apr 2022
Dataset Distillation by Matching Training Trajectories George Cazenavette Tongzhou Wang Antonio Torralba Alexei A. Efros Jun-Yan Zhu FedML DD 55 363 0 22 Mar 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
Dataset Condensation with Contrastive Signals Saehyung Lee Sanghyuk Chun Sangwon Jung Sangdoo Yun Sung-Hoon Yoon DD 11 94 0 07 Feb 2022
Submodularity In Machine Learning and Artificial Intelligence J. Bilmes 8 52 0 31 Jan 2022
Graph Condensation for Graph Neural Networks Wei Jin Lingxiao Zhao Shichang Zhang Yozen Liu Jiliang Tang Neil Shah DD AI4CE 16 146 0 14 Oct 2021
Dataset Condensation with Distribution Matching Bo-Lu Zhao Hakan Bilen DD 13 282 0 08 Oct 2021
Dataset Distillation with Infinitely Wide Convolutional Networks Timothy Nguyen Roman Novak Lechao Xiao Jaehoon Lee DD 32 229 0 27 Jul 2021
Dataset Condensation with Differentiable Siamese Augmentation Bo-Lu Zhao Hakan Bilen DD 196 288 0 16 Feb 2021