Open AccessGated Linear Networks
Author(s) -
Joel Veness,
Tor Lattimore,
David Budden,
Avishkar Bhoopchand,
Christopher Mattern,
Agnieszka Grabska-Barwińska,
Eren Sezener,
Jianan Wang,
Péter Tóth,
Simon Schmitt,
Marcus Hutter
Publication year - 2021
Publication title -
proceedings of the ... aaai conference on artificial intelligence
Language(s) - Uncategorized
Resource type - Journals
eISSN - 2374-3468
pISSN - 2159-5399
DOI - 10.1609/aaai.v35i11.17202
Subject(s) - computer science , dropout (neural networks) , forgetting , activation function , artificial neural network , backpropagation , artificial intelligence , mechanism (biology) , feature (linguistics) , deep learning , machine learning , philosophy , linguistics , epistemology