MLSP-44.3
MULTI-VIEW INFORMATION BOTTLENECK WITHOUT VARIATIONAL APPROXIMATION
Qi Zhang, Jingmin Xin, Badong Chen, Xi’an Jiaotong University, China; Shujian Yu, UiT - The Arctic University of Norway, Norway
Session:
Learning Theory and Algorithms I
Track:
Machine Learning for Signal Processing
Location:
Gather Area G
Presentation Time:
Thu, 12 May, 21:00 - 21:45 China Time (UTC +8)
Thu, 12 May, 13:00 - 13:45 UTC
Thu, 12 May, 13:00 - 13:45 UTC
Session Chair:
Shuchin Aeron, Tufts University
Session MLSP-44
MLSP-44.1: THE REPRESENTATION JENSEN-RÉNYI DIVERGENCE
Jhoan Keider Hoyos Osorio, Oscar Skean, Luis Gonzalo Sanchez Giraldo, University of Kentucky, United States of America; Austin J. Brockmeier, University of Delaware, United States of America
MLSP-44.2: DEFENSIVE COMPRESSIVE TIME DELAY ESTIMATION USING INFORMATION BOTTLENECK
Yiming Li, Junan Yang, Xiaoxia Cai, National University of Defensive Technology, China; Rundong Wang, Nanyang Technological University, Singapore; Yulin Hu, Wuhan University, China
MLSP-44.3: MULTI-VIEW INFORMATION BOTTLENECK WITHOUT VARIATIONAL APPROXIMATION
Qi Zhang, Jingmin Xin, Badong Chen, Xi’an Jiaotong University, China; Shujian Yu, UiT - The Arctic University of Norway, Norway
MLSP-44.4: TIME-FREQUENCY AND GEOMETRIC ANALYSIS OF TASK-DEPENDENT LEARNING IN RAW WAVEFORM BASED ACOUSTIC MODELS
Devansh Gupta, Vinayak Abrol, Indraprastha Institute of Information Technology, Delhi, India
MLSP-44.6: CHANNEL REDUNDANCY AND OVERLAP IN CONVOLUTIONAL NEURAL NETWORKS WITH CHANNEL-WISE NNK GRAPHS
David Bonet, Javier Ruiz-Hidalgo, Universitat Politècnica de Catalunya, Spain; Antonio Ortega, Sarath Shekkizhar, University of Southern California, United States of America