演講資訊
Keynote Speakers
Yaochu Jin
德國畢勒費爾德大學
Recent Advances in Federated Learning
9:10-10:10
Kay Chen Tan
香港理工大學
Does Optimization Experience Always Help?
An Empirical Study on Evolutionary Sequential Transfer Optimization
13:20-15:20
Yew Soon Ong
新加坡南洋理工大學
Multi-Task Multi-Objective Optimization:
Neuroevolution of Set of Machine Learning Model Sets from Large models
13:20-15:20
Invited Speakers
李宏毅
國立臺灣大學
Self-supervised Learning for Speech Processing
10:10-12:10
孫民
國立清華大學
AI for Indoor Space
10:10-12:10
胡敏君
國立清華大學
Scalable Spatial Memory for Scene Rendering and Navigation based on Spatial Transformation Routing
10:10-12:10
李政德
國立成功大學
Towards Trustworthy Graph Machine Learning
10:10-12:10
Invited Speakers
陳奕廷
國立陽明交通大學
Learning Scenario-aware Representations via Slot Attention for Intelligent Driving Systems
15:40-16:55
邱德泉
國立清華大學
Privacy-preserving Edge Intelligence for the Era of AIoT
15:40-16:55
孫紹華
國立臺灣大學
Learning to Synthesize Programs as Interpretable and Generalizable Reinforcement Learning Policies
15:40-16:55