主題：

講者：

Insights on Deep Learning

Broad Learning (寬度學習):
A Paradigm Shift in Discriminative Incremental Learning
Prof CL Philip Chen, University of Macau

Machine Learning for Creativity
Prof Yi-Ke Guo, Imperial College London

SPBA: Statistical Principle-Based Approach for Biomedical Named Entity Recognition
Dr Wen-Lian Hsu, Academia Sinica, Taiwan

Meta-SGD: Learning to Learn Quickly for Few-Shot Learning 
Dr Zhenguo Li, Huawei Technologies

Deep Learning in Machine Translation 
Dr Yang Liu, Tsinghua University

Training Simplification and Model Simplification for Deep Learning:
A Minimal Effort Back Propagation Method 
Dr Xu Sun, Peking University

Post Optimization Model for Machine Translation 
Dr Muyun Yang, Harbin Institute of Technology

Deep Spatiotemporal Models for Sequence Prediction
Prof Dit-Yan Yeung, Hong Kong University of Science and Technology

Deep Networks Meet Causal Modeling 
Dr Kun Zhang, Carnegie Mellon University, USA

Dinner talk 
Mr Fred Sheu, Microsoft Hong Kong Limited