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Found 2 papers, 1 papers with code
VarGNet: Variable Group Convolutional Neural Network for Efficient Embedded Computing
In this paper, we propose a novel network design mechanism for efficient embedded computing.
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Improve the efficiency of deep reinforcement learning through semantic exploration guided by natural language
We assume that the interaction can be modeled as a sequence of templated questions and answers, and that there is a large corpus of previous interactions available.
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