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Found 2 papers, 1 papers with code
GoalNet: Inferring Conjunctive Goal Predicates from Human Plan Demonstrations for Robot Instruction Following
Our goal is to enable a robot to learn how to sequence its actions to perform tasks specified as natural language instructions, given successful demonstrations from a human partner.
A Variational Information Bottleneck Based Method to Compress Sequential Networks for Human Action Recognition
In the last few years, compression of deep neural networks has become an important strand of machine learning and computer vision research.
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