3 citations · 3 across the 2 of their papers we have counts for
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cs.AI2019
Learning by Abstraction: The Neural State Machine
Drew A. Hudson, Christopher D. Manning
We introduce the Neural State Machine, seeking to bridge the gap between the neural and symbolic views of AI and integrate their complementary strengths for the task of visual reas…
cs.AI2018
Compositional Attention Networks for Machine Reasoning
Drew A. Hudson, Christopher D. Manning
We present the MAC network, a novel fully differentiable neural network architecture, designed to facilitate explicit and expressive reasoning. MAC moves away from monolithic black…