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Decoupled Neural Interfaces using Synthetic Gradients
v1v2 (latest)

Decoupled Neural Interfaces using Synthetic Gradients

International Conference on Machine Learning (ICML), 2016
18 August 2016
Max Jaderberg
Wojciech M. Czarnecki
Simon Osindero
Oriol Vinyals
Alex Graves
David Silver
Koray Kavukcuoglu
ArXiv (abs)PDFHTML

Papers citing "Decoupled Neural Interfaces using Synthetic Gradients"

24 / 224 papers shown
Decoupled Parallel Backpropagation with Convergence Guarantee
Decoupled Parallel Backpropagation with Convergence Guarantee
Zhouyuan Huo
Bin Gu
Qian Yang
Heng-Chiao Huang
269
99
0
27 Apr 2018
Substitute Teacher Networks: Learning with Almost No Supervision
Substitute Teacher Networks: Learning with Almost No Supervision
Samuel Albanie
James Thewlis
Joao F. Henriques
118
2
0
01 Apr 2018
Conducting Credit Assignment by Aligning Local Representations
Conducting Credit Assignment by Aligning Local Representations
Alexander Ororbia
A. Mali
Daniel Kifer
C. Lee Giles
ODL
224
29
0
05 Mar 2018
Learning Longer-term Dependencies in RNNs with Auxiliary Losses
Learning Longer-term Dependencies in RNNs with Auxiliary LossesInternational Conference on Machine Learning (ICML), 2018
Trieu H. Trinh
Andrew M. Dai
Thang Luong
Quoc V. Le
369
193
0
01 Mar 2018
Var-CNN: A Data-Efficient Website Fingerprinting Attack Based on Deep
  Learning
Var-CNN: A Data-Efficient Website Fingerprinting Attack Based on Deep LearningProceedings on Privacy Enhancing Technologies (PoPETs), 2018
Sanjit Bhat
David Lu
Albert Kwon
S. Devadas
AAML
177
227
0
28 Feb 2018
The Mechanics of n-Player Differentiable Games
The Mechanics of n-Player Differentiable Games
David Balduzzi
S. Racanière
James Martens
Jakob N. Foerster
K. Tuyls
T. Graepel
MLT
270
291
0
15 Feb 2018
On Kernel Method-Based Connectionist Models and Supervised Deep Learning
  Without Backpropagation
On Kernel Method-Based Connectionist Models and Supervised Deep Learning Without Backpropagation
Shiyu Duan
Shujian Yu
Yunmei Chen
José C. Príncipe
332
17
0
11 Feb 2018
Semi-Amortized Variational Autoencoders
Semi-Amortized Variational Autoencoders
Yoon Kim
Sam Wiseman
Andrew C. Miller
David Sontag
Alexander M. Rush
BDLDRL
715
252
0
07 Feb 2018
Benchmarking Decoupled Neural Interfaces with Synthetic Gradients
Ekaba Bisong
131
0
0
22 Dec 2017
Learning to Adapt by Minimizing Discrepancy
Learning to Adapt by Minimizing Discrepancy
Alexander Ororbia
P. Haffner
David Reitter
C. Lee Giles
AI4TS
146
30
0
30 Nov 2017
Variational Probability Flow for Biologically Plausible Training of Deep
  Neural Networks
Variational Probability Flow for Biologically Plausible Training of Deep Neural Networks
Zuozhu Liu
Tony Q.S. Quek
Shaowei Lin
100
3
0
21 Nov 2017
Deep supervised learning using local errors
Deep supervised learning using local errors
Hesham Mostafa
V. Ramesh
Gert Cauwenberghs
180
125
0
17 Nov 2017
Sparse Attentive Backtracking: Long-Range Credit Assignment in Recurrent
  Networks
Sparse Attentive Backtracking: Long-Range Credit Assignment in Recurrent Networks
Nan Rosemary Ke
Anirudh Goyal
O. Bilaniuk
Jonathan Binas
Laurent Charlin
C. Pal
Yoshua Bengio
148
15
0
07 Nov 2017
Maximum Principle Based Algorithms for Deep Learning
Maximum Principle Based Algorithms for Deep LearningJournal of machine learning research (JMLR), 2017
Qianxiao Li
Long Chen
Cheng Tai
E. Weinan
234
240
0
26 Oct 2017
Training Spiking Neural Networks for Cognitive Tasks: A Versatile
  Framework Compatible to Various Temporal Codes
Training Spiking Neural Networks for Cognitive Tasks: A Versatile Framework Compatible to Various Temporal Codes
Chaofei Hong
100
0
0
02 Sep 2017
The Reversible Residual Network: Backpropagation Without Storing
  Activations
The Reversible Residual Network: Backpropagation Without Storing Activations
Aidan Gomez
Mengye Ren
R. Urtasun
Roger C. Grosse
221
609
0
14 Jul 2017
Sobolev Training for Neural Networks
Sobolev Training for Neural Networks
Wojciech M. Czarnecki
Simon Osindero
Max Jaderberg
G. Swirszcz
Razvan Pascanu
394
289
0
15 Jun 2017
AMPNet: Asynchronous Model-Parallel Training for Dynamic Neural Networks
AMPNet: Asynchronous Model-Parallel Training for Dynamic Neural Networks
Alexander L. Gaunt
Matthew W. Johnson
M. Riechert
Daniel Tarlow
Ryota Tomioka
Dimitrios Vytiniotis
Sam Webster
BDL
190
35
0
27 May 2017
Introspection: Accelerating Neural Network Training By Learning Weight
  Evolution
Introspection: Accelerating Neural Network Training By Learning Weight Evolution
Abhishek Sinha
Mausoom Sarkar
Aahitagni Mukherjee
Balaji Krishnamurthy
ODL
98
21
0
17 Apr 2017
Understanding Synthetic Gradients and Decoupled Neural Interfaces
Understanding Synthetic Gradients and Decoupled Neural Interfaces
Wojciech M. Czarnecki
G. Swirszcz
Max Jaderberg
Simon Osindero
Oriol Vinyals
Koray Kavukcuoglu
204
89
0
01 Mar 2017
Unbiased Online Recurrent Optimization
Unbiased Online Recurrent OptimizationInternational Conference on Learning Representations (ICLR), 2017
Corentin Tallec
Yann Ollivier
387
102
0
16 Feb 2017
Long Timescale Credit Assignment in NeuralNetworks with External Memory
Long Timescale Credit Assignment in NeuralNetworks with External Memory
Steven Hansen
79
0
0
14 Jan 2017
Neuromorphic Deep Learning Machines
Neuromorphic Deep Learning MachinesFrontiers in Neuroscience (Front. Neurosci.), 2016
Emre Neftci
C. Augustine
Somnath Paul
Georgios Detorakis
BDL
393
268
0
16 Dec 2016
HyperNetworks
HyperNetworks
David R Ha
Andrew M. Dai
Quoc V. Le
755
1,794
0
27 Sep 2016
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