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Lennox Leary
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All published works
Action
Title
Year
Authors
+
The Shattered Gradients Problem: If resnets are the answer, then what is the question?
2017
David Balduzzi
Marcus Frean
Lennox Leary
John Lewis
Wan-Duo Kurt
Brian McWilliams
Common Coauthors
Coauthor
Papers Together
David Balduzzi
1
Marcus Frean
1
Brian McWilliams
1
John Lewis
1
Wan-Duo Kurt
1
Commonly Cited References
Action
Title
Year
Authors
# of times referenced
+
PDF
Chat
Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification
2015
Kaiming He
Xiangyu Zhang
Shaoqing Ren
Jian Sun
1
+
Random Walk Initialization for Training Very Deep Feedforward Networks
2014
David Sussillo
L. F. Abbott
1
+
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift
2015
Sergey Ioffe
Christian Szegedy
1
+
PDF
Chat
Going deeper with convolutions
2015
Christian Szegedy
Wei Liu
Yangqing Jia
Pierre Sermanet
Scott Reed
Dragomir Anguelov
Dumitru Erhan
Vincent Vanhoucke
Andrew Rabinovich
1
+
On the Number of Linear Regions of Deep Neural Networks
2014
Guido Montúfar
Razvan Pascanu
Kyunghyun Cho
Yoshua Bengio
1
+
PDF
Chat
Deep Residual Learning for Image Recognition
2016
Kaiming He
Xiangyu Zhang
Shaoqing Ren
Jian Sun
1
+
Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning
2016
Christian Szegedy
Sergey Ioffe
Vincent Vanhoucke
Alexander A. Alemi
1
+
PDF
Chat
Identity Mappings in Deep Residual Networks
2016
Kaiming He
Xiangyu Zhang
Shaoqing Ren
Jian Sun
1
+
Highway and Residual Networks learn Unrolled Iterative Estimation
2016
Klaus Greff
Rupesh K. Srivastava
Jürgen Schmidhuber
1
+
Skip Connections as Effective Symmetry-Breaking.
2017
A. Emin Orhan
1
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DiracNets: Training Very Deep Neural Networks Without Skip-Connections
2017
Sergey Zagoruyko
Nikos Komodakis
1
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The Loss Surface of Multilayer Networks.
2014
Anna Choromanska
Mikael Henaff
Michaël Mathieu
Gérard Ben Arous
Yann LeCun
1
+
Skip Connections Eliminate Singularities.
2017
A. Emin Orhan
Xaq Pitkow
1
+
Understanding and Improving Convolutional Neural Networks via Concatenated Rectified Linear Units
2016
Wenling Shang
Kihyuk Sohn
Diogo Almeida
Honglak Lee
1
+
Benefits of depth in neural networks
2016
Matus Telgarsky
1
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Adam: A Method for Stochastic Optimization
2014
Diederik P. Kingma
Jimmy Ba
1
+
PDF
Chat
Introduction to the non-asymptotic analysis of random matrices
2012
Roman Vershynin
1
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Highway Networks
2015
Rupesh K. Srivastava
Klaus Greff
Jürgen Schmidhuber
1