Saturday, March 25, 2017

Saturday Morning Video: #NIPS2016 Symposium, Recurrent Neural Networks and Other Machines that Learn Algorithms

From the page of the minisymposium

Full session videos are available here: Session 1Session 2Session 3.
We provide individual videos and slides below. You can also watch this Playlist.
2:00 - 2:20 Jürgen Schmidhuber 
Introduction to Recurrent Neural Networks and Other Machines that Learn Algorithms 
Slides Video
2:20 - 2:40 Paul Werbos 
Deep Learning in Recurrent Networks: From Basics To New Data on the Brain 
Slides Video
2:40 - 3:00 Li Deng 
Three Cool Topics on RNN 
Slides Video
3:00 - 3:20 Risto Miikkulainen 
Scaling Up Deep Learning through Neuroevolution 
Slides Video
3:20 - 3:40 Jason Weston 
New Tasks and Architectures for Language Understanding and Dialogue with Memory 
Slides Video
3:40 - 4:00 Oriol Vinyals 
Recurrent Nets Frontiers 
Slides Unavailable Video
4:00 - 4:30 Coffee Break
4:30 - 4:50 Mike Mozer 
Neural Hawkes Process Memories 
Slides Video
4:50 - 5:10 Ilya Sutskever 
Meta Learning in the Universe 
Slides Video
5:10 - 5:30 Marcus Hutter 
Asymptotically fastest solver of all well-defined problems 
Slides Video
(unfortunately cannot come - J. Schmidhuber will stand in for him)
5:30 - 5:50 Nando de Freitas 
Learning to Learn, to Program, to Explore and to Seek Knowledge 
Slides Video
5:50 - 6:10 Alex Graves 
Differentiable Neural Computer 
Slides Video
6:30 - 7:30 Light dinner break/Posters
7:30 - 7:50 Nal Kalchbrenner 
Generative Modeling as Sequence Learning 
Slides Video
7:50 - 9:00 Panel Discussion 
Topic: The future of machines that learn algorithms
Panelists: Ilya Sutskever, Jürgen Schmidhuber, Li Deng, Paul Werbos, Risto Miikkulainen, Sepp Hochreiter 
Moderator: Alex Graves 

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