Agenda

*Click on talk titles to view PPT slides of each talk.

July 25 Afternoon - Session 1: Learning
13:30-14:20    Zheng Zhang: Learning the hell out of gradient
14:20-14:45    Jun Zhu: When Bayes meets DNN 
14:45-15:10    Jianxin Wu: What we do and cannot do with a CNN
15:10-15:30    Tea Break    
15:30-16:15    Xiao-Jing Wang: What we know about supervised, unsupervised and reinforced learning mechanisms in the brain
16:15-17:00    Sen Song: Spike-based learning and local cortical circuit structure and representation
17:00-18:00    Discussion       

July 26 - Session 2: Vision and Language
9:00-9:45       Kyunghyun Cho: Describing Multimedia Content Using Attention-Based Encoder-Decoder Networks 
9:45-10:30     Stanislas Dehaene: Consciousness and syntax : two challenges from human cognition
10:30-11:00    Zhengdong Lu: Some thoughts on neural symbolism
11:00-11:15    Tea Break    
11:15-12:30    Discussion    
12:40-13:40    Lunch    
14:00-14:45    Tianming Yang: Object recognition: What can we learn from the primate visual system?
14:45-15:25    Xiaolin Hu: How does the brain implement very deep neural networks?
15:25-15:40    Tea Break    
15:40-16:40    Discussion    
16:40              End