Session A1: Deep Learning

13 Dec 2016
11:00 - 13:00
Auditorium

Session A1: Deep Learning

Session Chair: Wei Ding (University of Massachusetts Boston, USA)

REGULAR PAPERS:

DM558 “Regularizing Deep Convolutional Neural Networks with a Structured Decorrelation Constraint”
Wei Xiong, Bo Du, Lefei Zhang, and Dacheng Tao

DM613 “Traffic Speed Prediction and Congestion Source Exploration: A Deep Learning Method”
Jingyuan Wang, Qian Gu, Junjie Wu, Guannan Liu, and Zhang Xiong

DM714 “Model Accuracy and Runtime Tradeoff in Distributed Deep Learning: A Systematic Study”
Wei Zhang, Suyog Gupta, and Fei Wang

DM976 “Convolutional MKL Based Multimodal Emotion Recognition and Sentiment Analysis”
Iti Chaturvedi, Soujanya Poria, and Erik Cambria

SHORT PAPERS:

DM390 “Structure Selection for Convolutive Non-negative Matrix Factorization Using Normalized Maximum Likelihood Coding”
Atsushi Suzuki, Kohei Miyaguchi, and Kenji Yamanishi

DM679 “Product-based Neural Networks for User Response Prediction”
Yanru Qu, Han Cai, Kan Ren, Weinan Zhang, and Yong Yu

DM933 “Deep Convolutional Factor Analyser for Multivariate Time Series Modeling”
Chao Yuan

DM945 “Learning Deep Networks from Noisy Labels with Dropout Regularization”
Ishan Jindal, Matthew Nokleby, and Xuewen Chen