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Learning in the Machine: the Symmetries of the Deep Learning Channel

Learning in the Machine: the Symmetries of the Deep Learning Channel

22 December 2017
Pierre Baldi
Peter Sadowski
Zhiqin Lu
ArXivPDFHTML

Papers citing "Learning in the Machine: the Symmetries of the Deep Learning Channel"

16 / 16 papers shown
Title
Neuromorphic Deep Learning Machines
Neuromorphic Deep Learning Machines
Emre Neftci
C. Augustine
Somnath Paul
Georgios Detorakis
BDL
152
259
0
16 Dec 2016
Direct Feedback Alignment Provides Learning in Deep Neural Networks
Direct Feedback Alignment Provides Learning in Deep Neural Networks
Arild Nøkland
ODL
81
454
0
06 Sep 2016
Model-Free Episodic Control
Model-Free Episodic Control
Charles Blundell
Benigno Uria
Alexander Pritzel
Yazhe Li
Avraham Ruderman
Joel Z Leibo
Jack W. Rae
Daan Wierstra
Demis Hassabis
OffRL
BDL
55
250
0
14 Jun 2016
Learning Hand-Eye Coordination for Robotic Grasping with Deep Learning
  and Large-Scale Data Collection
Learning Hand-Eye Coordination for Robotic Grasping with Deep Learning and Large-Scale Data Collection
Sergey Levine
P. Pastor
A. Krizhevsky
Deirdre Quillen
160
2,071
0
07 Mar 2016
Deep Reinforcement Learning from Self-Play in Imperfect-Information
  Games
Deep Reinforcement Learning from Self-Play in Imperfect-Information Games
Johannes Heinrich
David Silver
SSL
48
400
0
03 Mar 2016
Asynchronous Methods for Deep Reinforcement Learning
Asynchronous Methods for Deep Reinforcement Learning
Volodymyr Mnih
Adria Puigdomenech Badia
M. Berk Mirza
Alex Graves
Timothy Lillicrap
Tim Harley
David Silver
Koray Kavukcuoglu
189
8,833
0
04 Feb 2016
Increasing the Action Gap: New Operators for Reinforcement Learning
Increasing the Action Gap: New Operators for Reinforcement Learning
Marc G. Bellemare
Georg Ostrovski
A. Guez
Philip S. Thomas
Rémi Munos
56
157
0
15 Dec 2015
Policy Distillation
Policy Distillation
Andrei A. Rusu
Sergio Gomez Colmenarejo
Çağlar Gülçehre
Guillaume Desjardins
J. Kirkpatrick
Razvan Pascanu
Volodymyr Mnih
Koray Kavukcuoglu
R. Hadsell
79
689
0
19 Nov 2015
Mapping Generative Models onto a Network of Digital Spiking Neurons
Mapping Generative Models onto a Network of Digital Spiking Neurons
Bruno U. Pedroni
Srinjoy Das
John V. Arthur
P. Merolla
Bryan L. Jackson
D. Modha
Ken Kreutz-Delgado
Gert Cauwenberghs
15
21
0
24 Sep 2015
Deep Reinforcement Learning with Double Q-learning
Deep Reinforcement Learning with Double Q-learning
H. V. Hasselt
A. Guez
David Silver
OffRL
154
7,623
0
22 Sep 2015
Continuous control with deep reinforcement learning
Continuous control with deep reinforcement learning
Timothy Lillicrap
Jonathan J. Hunt
Alexander Pritzel
N. Heess
Tom Erez
Yuval Tassa
David Silver
Daan Wierstra
294
13,214
0
09 Sep 2015
Training Very Deep Networks
Training Very Deep Networks
R. Srivastava
Klaus Greff
Jürgen Schmidhuber
127
1,677
0
22 Jul 2015
A Theory of Local Learning, the Learning Channel, and the Optimality of
  Backpropagation
A Theory of Local Learning, the Learning Channel, and the Optimality of Backpropagation
Pierre Baldi
Peter Sadowski
41
72
0
22 Jun 2015
Delving Deep into Rectifiers: Surpassing Human-Level Performance on
  ImageNet Classification
Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
VLM
276
18,587
0
06 Feb 2015
Going Deeper with Convolutions
Going Deeper with Convolutions
Christian Szegedy
Wei Liu
Yangqing Jia
P. Sermanet
Scott E. Reed
Dragomir Anguelov
D. Erhan
Vincent Vanhoucke
Andrew Rabinovich
397
43,589
0
17 Sep 2014
Speech Recognition with Deep Recurrent Neural Networks
Speech Recognition with Deep Recurrent Neural Networks
Alex Graves
Abdel-rahman Mohamed
Geoffrey E. Hinton
192
8,507
0
22 Mar 2013
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