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ARCHIVEMONTHLY»APRIL2017«
APRIL2017
READING NOTES
X. Glorot, Y. Bengio.
Understanding the difficulty of training deep feedforward neural networks
. Aistats, 2010.
DEEP LEARNING
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APRIL2017
READING NOTES
W. Kuo, B. Hariharan, J. Malik.
DeepBox: Learning Objectness with Convolutional Networks
. ICCV, 2015.
COMPUTER VISION
DEEP LEARNING
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APRIL2017
READING NOTES
L. J. Ba, R. Kiros, G. E. Hinton.
Layer Normalization
. CoRR, 2016.
DEEP LEARNING
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APRIL2017
READING NOTES
I. Misra, C. L. Zitnick, M. Hebert.
Shuffle and Learn: Unsupervised Learning Using Temporal Order Verification
. ECCV, 2016.
COMPUTER VISION
DEEP LEARNING
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APRIL2017
READING NOTES
A. M. Saxe, J. L. McClelland, S. Ganguli.
Exact solutions to the nonlinear dynamics of learning in deep linear neural networks
. CoRR, 2013.
DEEP LEARNING
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APRIL2017
READING NOTES
D. Mishkin, J. Matas.
All you need is a good init
. CoRR, 2015.
DEEP LEARNING
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APRIL2017
READING NOTES
M. Ersin Yumer, N. J. Mitra.
Learning Semantic Deformation Flows with 3D Convolutional Networks
. ECCV, 2016.
COMPUTER VISION
DEEP LEARNING
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APRIL2017
READING NOTES
S. Ioffe, C. Szegedy.
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift
. ICML, 2015.
DEEP LEARNING
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APRIL2017
READING NOTES
M. Noroozi, P. Favaro.
Unsupervised Learning of Visual Representations by Solving Jigsaw Puzzles
. ECCV,2016.
COMPUTER VISION
DEEP LEARNING
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APRIL2017
READING NOTES
V. Dumoulin, F. Visin.
A guide to convolution arithmetic for deep learning
. CoRR, 2016.
DEEP LEARNING
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