Grant Call 2019
Grant Call 2018
Advancing Dense Prediction Methods for Visual Scene Understanding
The task of visual scene understanding is to develop computer algorithms for automatically understanding and…
Conversational Question Answering
This project concerns conversational question answering (CQA), which is the task of answering a sequence…
Embedding Knowledge into Learning
Machine learning, particularly deep learning, has been spectacularly successful in the recent past. Human-level performance…
Targeting High Productivity Workforces via Data-Centric Transfer Optimization in the Internet Era
This project aims at developing a novel computational framework that can adaptively re-use the knowledge…
Enabling Spiking Neuromorphic Computation with On-Board Learning Through Algorithm and Hardware Co-design
As AI becomes more prevalent in everyday applications, there is a need for new algorithms…
Rationalizing Deep Learning Model Decisions
In this research, our aim is to provide good explanatory power without sacrificing the performance…
PAT-AI: Privacy-Aware Transparency for AI in Singapore
Recent years have seen an increasing push to make black-box algorithmic systems more transparent to…
One-Shot Learning: A Crucial Learning Paradigm Towards Human-like Learning
With the increasing popularity of applying machine learning for various artificial intelligence (AI) problems, a…
