Visual knowledge transfer with deep learning techniques 

Learning to diagnose from electronic health records data 

Scaling robot learning with skills 

Learning objective functions for autonomous motion generation 

Multimodal representation learning of affective behavior 

Computational foundations for mixed-motive human-machine dialogue 

Active state learning from surprises in stochastic and partially-observable environments 

Ubiquitous computing for human activity analysis with applications in personalized healthcare 

Rethinking perception-action loops via interactive perception and learned representations 

Computational model of stroke therapy and long term recovery 

Experimental and computational explorations of different forms of plasticity in motor learning and stroke recovery 

Fair Machine Learning for Human Behavior Understanding 

Learning from planners to enable new robot capabilities 

Learning shared subspaces across multiple views and modalities 

Biologically inspired approaches to computer vision 

Evaluating machine learning tools for humanitarian road network mapping 

Artificial Decision Intelligence: integrating deep learning and combinatorial optimization 

Bayesian methods for autonomous learning systems 

The effect of presenting worked examples for problem solving in a computer game 

Robot life-long task learning from human demonstrations: a Bayesian approach 

Learning effectiveness: a comparitive study to measure effectiveness of webcasting in success of students in an introductory computer science class 

Improving efficiency to advance resilient computing 

How effective professional development in differentiated instruction can save Hawaii's Catholic schools 

Differentially private learned models for location services 

Computer vision aided object localization for the visually impaired