Analysis of Deep Neural Networks with Extended Data Jacobian Matrix
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Jeff A. Bilmes | Matthew Richardson | Rich Caruana | Matthai Philipose | Abdel-rahman Mohamed | Shengjie Wang | Krzysztof Geras | Gregor Urban | Özlem Aslan | Abdel-rahman Mohamed | J. Bilmes | R. Caruana | Shengjie Wang | Matthai Philipose | Matthew Richardson | K. Geras | G. Urban | Özlem Aslan
[1] Tara N. Sainath,et al. FUNDAMENTAL TECHNOLOGIES IN MODERN SPEECH RECOGNITION Digital Object Identifier 10.1109/MSP.2012.2205597 , 2012 .
[2] Geoffrey E. Hinton,et al. ImageNet classification with deep convolutional neural networks , 2012, Commun. ACM.
[3] Razvan Pascanu,et al. On the number of response regions of deep feed forward networks with piece-wise linear activations , 2013, 1312.6098.
[4] Nitish Srivastava,et al. Dropout: a simple way to prevent neural networks from overfitting , 2014, J. Mach. Learn. Res..
[5] Surya Ganguli,et al. Exact solutions to the nonlinear dynamics of learning in deep linear neural networks , 2013, ICLR.
[6] Razvan Pascanu,et al. On the Number of Linear Regions of Deep Neural Networks , 2014, NIPS.
[7] Razvan Pascanu,et al. On the number of inference regions of deep feed forward networks with piece-wise linear activations , 2013, ICLR.
[8] Quoc V. Le,et al. Sequence to Sequence Learning with Neural Networks , 2014, NIPS.
[9] Rich Caruana,et al. Do Deep Nets Really Need to be Deep? , 2013, NIPS.
[10] Geoffrey E. Hinton,et al. Distilling the Knowledge in a Neural Network , 2015, ArXiv.
[11] Ruslan Salakhutdinov,et al. Path-SGD: Path-Normalized Optimization in Deep Neural Networks , 2015, NIPS.
[12] Yoshua Bengio,et al. FitNets: Hints for Thin Deep Nets , 2014, ICLR.
[13] Shane Legg,et al. Human-level control through deep reinforcement learning , 2015, Nature.
[14] Andrew Zisserman,et al. Very Deep Convolutional Networks for Large-Scale Image Recognition , 2014, ICLR.
[15] Yoshua Bengio,et al. Neural Machine Translation by Jointly Learning to Align and Translate , 2014, ICLR.
[16] Demis Hassabis,et al. Mastering the game of Go with deep neural networks and tree search , 2016, Nature.