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Beyond Exchangeability: The Chinese Voting Process
Many online communities present user-contributed responses such as reviews of products and answers to questions.
Robobarista: Learning to Manipulate Novel Objects via Deep Multimodal Embedding
There is a large variety of objects and appliances in human environments, such as stoves, coffee dispensers, juice extractors, and so on.
Robobarista: Object Part based Transfer of Manipulation Trajectories from Crowd-sourcing in 3D Pointclouds
We formulate the manipulation planning as a structured prediction problem and design a deep learning model that can handle large noise in the manipulation demonstrations and learns features from three different modalities: point-clouds, language and trajectory.
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