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AI Research Grant Call Awardees
Grant Call 2019
Learning To Anticipate Human Actions That Happen In The Next One To Five Seconds Using Self-Regularised Future Content Generation For Human-Robotic Engagement
Basura Fernando (A*STAR)
New Directions in Adversarial Machine Learning: From Theory to Applications
Bo An (NTU)
Noisy distributed learning on noisy data: A unified mathematical framework for dealing with arbitrary noise
Ernest Chong Kai Fong (SUTD)
Grant Call 2018
Targeting High Productivity Workforces via Data-Centric Transfer Optimization in the Internet Era
Ong Yew-Soon (NTU)
Enabling Spiking Neuromorphic Computation with On‐Board Learning Through Algorithm and Hardware Co‐design
Shaowei Lin (SUTD)
One-Shot Learning: A Crucial Learning Paradigm Towards Human-like Learning
Fang Yuan (SMU)