Deep Learning
Yoshua Bengio ⋅ Hugo Larochelle ⋅ Russ Salakhutdinov ⋅ Tomas Mikolov ⋅ Matthew D Zeiler ⋅ David Mcallester ⋅ Nando de Freitas ⋅ Josh Tenenbaum ⋅ Jian Zhou ⋅ Volodymyr Mnih
Abstract
Deep Learning algorithms attempt to discover good representations, at multiple levels of abstraction. There has been rapid progress in this area in recent years, both in terms of algorithms and in terms of applications, but many challenges remain. The workshop aims at bringing together researchers in that field and discussing these challenges, brainstorming about new solutions.
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