SecDD: Efficient and Secure Method for Remotely Training Neural Networks

19 September 2020

Papers citing "SecDD: Efficient and Secure Method for Remotely Training Neural Networks"

9 / 9 papers shown

Title
'Less Than One'-Shot Learning: Learning N Classes From M<N Samples Ilia Sucholutsky Matthias Schonlau VLM 103 43 0 17 Sep 2020
Flexible Dataset Distillation: Learn Labels Instead of Images Ondrej Bohdal Yongxin Yang Timothy M. Hospedales DD 83 110 0 15 Jun 2020
Dataset Condensation with Gradient Matching Bo Zhao Konda Reddy Mopuri Hakan Bilen DD 113 497 0 10 Jun 2020
Optimizing Millions of Hyperparameters by Implicit Differentiation Jonathan Lorraine Paul Vicol David Duvenaud DD 114 415 0 06 Nov 2019
Soft-Label Dataset Distillation and Text Dataset Distillation Ilia Sucholutsky Matthias Schonlau DD 134 135 0 06 Oct 2019
Using Small Proxy Datasets to Accelerate Hyperparameter Search Sam Shleifer Eric Prokop DD 36 22 0 12 Jun 2019
Energy and Policy Considerations for Deep Learning in NLP Emma Strubell Ananya Ganesh Andrew McCallum 69 2,657 0 05 Jun 2019
Hyperspherical Prototype Networks Pascal Mettes Elise van der Pol Cees G. M. Snoek 80 125 0 29 Jan 2019
Dataset Distillation Tongzhou Wang Jun-Yan Zhu Antonio Torralba Alexei A. Efros DD 78 295 0 27 Nov 2018