RNN Symposium 2016: Ilya Sutskever - Meta Learning in the Universe
RNN Symposium 2016: Panel Discussion - The Future of Machines that Learn Algorithms
Vector's Evolution of Deep Learning Symposium featuring Ilya Sutskever
Ilya Sutskever: The Learning of Algorithms
NIPS: Oral Session 4 - Ilya Sutskever
RNN Symposium 2016: Mike Mozer - Neural Hawkes Process Memories
RNN Symposium 2016: Paul Werbos - Deep Learning in RNNs: From Basics To New Data on the Brain
"It was the HOLY GRAIL of ML"
Ilya Sutskever - Sequence to Sequence Learning with Neural Networks
Ilya Sutskever: OpenAI Meta-Learning and Self-Play | MIT Artificial General Intelligence (AGI)
Ilya Sutskever, OpenAI
RNN Symposium 2016: Jürgen Schmidhuber - Asymptotically fastest solver of all well-defined problems
Deep Learning Theory Session. Ilya SutskeverIlya Sutskever
OpenAI - Meta Learning & Self Play - Ilya Sutskever
RNN Symposium 2016: Oriol Vinyals - Recurrent Nets Frontiers
RNN Symposium 2016: Jason Weston - New Tasks & Architectures for Language Understanding and Dialogue
RNN Symposium 2016: Jürgen Schmidhuber - Intro to RNNs and Other Machines that Learn Algorithms
RNN Symposium: Nando de Freitas - Learning to Learn, to Program, to Explore and to Seek Knowledge
RNN Symposium 2016: Alex Graves - Differentiable Neural Computer
Ilya Sutskever at AI Frontiers 2018: Recent Advances in Deep Learning and AI from OpenAI
