[SAIF 2019] Day 1: Adapting and Explaining Deep Learning for Autonomous Systems - Trevor Darrell

Learning of layered or “deep“ representations has recently enabled low-cost sensors for autonomous vehicles and efficient automated analysis of visual semantics in online media. But these models have typically required prohibitive amounts of training data, and thus may only work well in the environment they have been trained in. I’ll describe recent methods in adversarial adaptive learning that excel when learning across modalities and domains. Further, these models have been unsatisfying in their complexit