2017
Active Decision Boundary Annotation With Deep Generative Models
ICCV 2017spotlight
This paper is on active learning where the goal is to reduce the data annotation burden by interacting with a (human) oracle during training. Standard active learning methods ask the oracle to annotate data samples. Instead, we take a profoundly different approach: we ask for annotations of the deci…