TITLE:
Learning with the Crowd: Detection, Clustering and Teaching

ABSTRACT:
How can people and machines cooperate to gain insight into complex data
sets? In this talk, I will highlight three recent projects in this 
space. 1) How can people and machines collaborate to detect rare
objects in large image collections? 2) How can people cooperate with
machines to identify categories in data sets? And 3) How can machines
teach people to solve classification tasks? I will describe some of the
technical challenges and approaches in Bayesian modeling and
combinatorial optimization. I will further present results on several
real-world applications, ranging from image categorization in citizen
science to biodiversity monitoring via conservation drones.