ResearchTrend.AI
Entity Augmentation for Efficient Classification of Vertically Partitioned Data with Limited Overlap

Entity Augmentation for Efficient Classification of Vertically Partitioned Data with Limited Overlap

Avi Amalanshu
⋆⋆ Viswesh Nagaswamy
G.V.S.S. Prudhvi
Yash Sirvi
Debashish Chakravarty
ArXivPDFHTML

Papers citing "Entity Augmentation for Efficient Classification of Vertically Partitioned Data with Limited Overlap"

4 / 4 papers shown
Title
CutMix: Regularization Strategy to Train Strong Classifiers with Localizable Features
CutMix: Regularization Strategy to Train Strong Classifiers with Localizable Features
Sangdoo Yun
Dongyoon Han
Seong Joon Oh
Sanghyuk Chun
Junsuk Choe
Y. Yoo
OOD
587
4,735
0
13 May 2019
Distributed learning of deep neural network over multiple agents
Distributed learning of deep neural network over multiple agents
O. Gupta
Ramesh Raskar
FedML
OOD
47
602
0
14 Oct 2018
Aggregated Residual Transformations for Deep Neural Networks
Aggregated Residual Transformations for Deep Neural Networks
Saining Xie
Ross B. Girshick
Piotr Dollár
Zhuowen Tu
Kaiming He
442
10,281
0
16 Nov 2016
Communication-Efficient Learning of Deep Networks from Decentralized Data
Communication-Efficient Learning of Deep Networks from Decentralized Data
H. B. McMahan
Eider Moore
Daniel Ramage
S. Hampson
Blaise Agüera y Arcas
FedML
234
17,328
0
17 Feb 2016

We use cookies and other tracking technologies to improve your browsing experience on our website, to show you personalized content and targeted ads, to analyze our website traffic, and to understand where our visitors are coming from. See our policy.