Relational inductive biases, deep learning, and graph networks
Artificial intelligence (AI) has undergone a renaissance recently, making major progress in
key domains such as vision, language, control, and decision-making. This has been due, in
part, to cheap data and cheap compute resources, which have fit the natural strengths of
deep learning. However, many defining characteristics of human intelligence, which
developed under much different pressures, remain out of reach for current approaches. In
particular, generalizing beyond one's experiences--a hallmark of human intelligence from …
key domains such as vision, language, control, and decision-making. This has been due, in
part, to cheap data and cheap compute resources, which have fit the natural strengths of
deep learning. However, many defining characteristics of human intelligence, which
developed under much different pressures, remain out of reach for current approaches. In
particular, generalizing beyond one's experiences--a hallmark of human intelligence from …
[引用][C] Relational inductive biases, deep learning, and graph networks. arXiv 2018
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