Technical Program

Paper Detail

Paper:MLSP-P12.6
Session:Deep Learning Applications IV
Location:Poster Area H, East Bar, First Floor
Session Time:Thursday, May 16, 08:00 - 10:00
Presentation Time:Thursday, May 16, 08:00 - 10:00
Presentation: Poster
Topic: Machine Learning for Signal Processing: Resource efficient machine learning
Paper Title: ISING-DROPOUT: A REGULARIZATION METHOD FOR TRAINING AND COMPRESSION OF DEEP NEURAL NETWORKS
Manuscript Link:  Click here to view manuscript on IEEE Xplore
Authors: Hojjat Salehinejad, Shahrokh Valaee, University of Toronto, Canada