[R] Mila Proposes New Inductive Biases to Boost Deep Learning

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Can we build machines able to learn and work seamlessly with humans? How do machines, humans and animals learn from each other, and can we improve on these processes and implement them in new domains? In the new paper Inductive Biases for Deep Learning of Higher-Level Cognition, Yoshua Bengio and Anirudh Goyal from Mila – Quebec AI Institute delve into human and non-human animal intelligence and how it can inform deep learning.

Here is a quick read: Mila Proposes New Inductive Biases to Boost Deep Learning

The paper Inductive Biases for Deep Learning of Higher-Level Cognition is on arXiv.

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