Assistive AI with Artificial Theories of Mind and Body
Although providing appropriate assistance is commonplace task for humans, it remains a significant challenge for…
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Explaining AI with the Right Level of Abstraction
Despite the exceptional performance of Deep Neural Networks, it is important that we develop “explainable…
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Learning To Anticipate Human Actions That Happen In The Next One To Five Seconds Using Self-Regularised Future Content Generation For Human-Robotic Engagement
Our ability to anticipate the behaviour of others comes naturally to us. For example, an…
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New Directions in Adversarial Machine Learning: From Theory to Applications
Systems supported by machine learning (ML) algorithms have brought significant benefit to our daily life….
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Noisy distributed learning on noisy data: A unified mathematical framework for dealing with arbitrary noise
The goal of this project is to develop a unified mathematical framework for dealing with…
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Towards Improved Grammatical Error Correction
Grammatical error correction (GEC) deals with automatically correcting errors in written texts, including grammatical, spelling,…
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Advancing Dense Prediction Methods for Visual Scene Understanding
The task of visual scene understanding is to develop computer algorithms for automatically understanding and…
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Conversational Question Answering
This project concerns conversational question answering (CQA), which is the task of answering a sequence…
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Embedding Knowledge into Learning
Machine learning, particularly deep learning, has been spectacularly successful in the recent past. Human-level performance…
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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…
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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…
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Rationalizing Deep Learning Model Decisions
In this research, our aim is to provide good explanatory power without sacrificing the performance…
