RNN Symposium 2016: Oriol Vinyals - Recurrent Nets Frontiers
Oriol Vinyals, Senior Research Scientist, Google - RE•WORK Deep Learning Summit 2016 #reworkDL
DeepHack.Q&A Oriol Vinyals – Sequences in Deep Learning
RNN Symposium 2016: Alex Graves - Differentiable Neural Computer
RNN Symposium 2016: Li Deng - Three cool topics on RNN
RNN Symposium 2016: Panel Discussion - The Future of Machines that Learn Algorithms
Oriol Vinyals, DeepMind
RNN Symposium 2016: Jason Weston - New Tasks & Architectures for Language Understanding and Dialogue
NAMPI v2 - Oriol Vinyals - Generating Visual Programs with Agents
Stanford Seminar - Recent Advances in Deep Learning
Oriol Vinyals - The State of Deep Reinforcement Learning
RNN Symposium 2016: Paul Werbos - Deep Learning in RNNs: From Basics To New Data on the Brain
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: Risto Miikkulainen - Scaling up Deep Learning through Neuroevolution
RNN Symposium 2016: Jürgen Schmidhuber - Asymptotically fastest solver of all well-defined problems
RNN Symposium 2016: Ilya Sutskever - Meta Learning in the Universe
Deep Learning, Transformers, and the Consequences of Scale with Oriol Vinyals - #546
ICML DL Workshop 2015 - Oriol Vinyals
From AlphaGo to AlphaStar and beyond (Part I) - Oriol Vinyals - UPC TelecomBCN Barcelona 2020
