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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