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Vision and Robotics Seminar

SundaySep 08, 201911:15
Vision and Robotics SeminarRoom 1
Speaker:Trevor DarrellTitle:Adapting and Explaining Deep Learning for Autonomous SystemsAbstract:opens in new windowin html    pdfopens in new windowSpecial Seminar

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 complexity--with millions of parameters--and their resulting opacity. I'll report approaches which achieve explainable deep learning models, including both introspective approaches that visualize compositional structure in a deep network, and third-person approaches that can provide a natural language justification for the classification decision of a deep model.