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