Low precision storage for deep learning
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[1] Andrew Y. Ng,et al. Reading Digits in Natural Images with Unsupervised Feature Learning , 2011 .
[2] Shawki Areibi,et al. The Impact of Arithmetic Representation on Implementing MLP-BP on FPGAs: A Study , 2007, IEEE Transactions on Neural Networks.
[3] J. L. Holt,et al. Back propagation simulations using limited precision calculations , 1991, IJCNN-91-Seattle International Joint Conference on Neural Networks.
[4] Razvan Pascanu,et al. M L ] 2 0 A ug 2 01 3 Pylearn 2 : a machine learning research library , 2014 .
[5] Alex Krizhevsky,et al. Learning Multiple Layers of Features from Tiny Images , 2009 .
[6] Kunle Olukotun,et al. A highly scalable Restricted Boltzmann Machine FPGA implementation , 2009, 2009 International Conference on Field Programmable Logic and Applications.
[7] Adi Shraibman,et al. Rank, Trace-Norm and Max-Norm , 2005, COLT.
[8] Yann LeCun,et al. What is the best multi-stage architecture for object recognition? , 2009, 2009 IEEE 12th International Conference on Computer Vision.
[9] Razvan Pascanu,et al. Theano: new features and speed improvements , 2012, ArXiv.
[10] Nitish Srivastava,et al. Improving neural networks by preventing co-adaptation of feature detectors , 2012, ArXiv.
[11] Jia Wang,et al. DaDianNao: A Machine-Learning Supercomputer , 2014, 2014 47th Annual IEEE/ACM International Symposium on Microarchitecture.
[12] Yoshua Bengio,et al. Deep Sparse Rectifier Neural Networks , 2011, AISTATS.
[13] Rob Fergus,et al. Stochastic Pooling for Regularization of Deep Convolutional Neural Networks , 2013, ICLR.
[14] Geoffrey E. Hinton,et al. ImageNet classification with deep convolutional neural networks , 2012, Commun. ACM.
[15] Quoc V. Le,et al. Scalable learning for object detection with GPU hardware , 2009, 2009 IEEE/RSJ International Conference on Intelligent Robots and Systems.
[16] Yoshua Bengio,et al. Gradient-based learning applied to document recognition , 1998, Proc. IEEE.
[17] Yoshua Bengio,et al. Maxout Networks , 2013, ICML.
[18] D. Williamson. Dynamically scaled fixed point arithmetic , 1991, [1991] IEEE Pacific Rim Conference on Communications, Computers and Signal Processing Conference Proceedings.
[19] Xinyun Chen. Under Review as a Conference Paper at Iclr 2017 Delving into Transferable Adversarial Ex- Amples and Black-box Attacks , 2016 .
[20] Patrice Y. Simard,et al. Backpropagation without Multiplication , 1993, NIPS.
[21] Ninghui Sun,et al. DianNao: a small-footprint high-throughput accelerator for ubiquitous machine-learning , 2014, ASPLOS.
[22] Marc'Aurelio Ranzato,et al. Large Scale Distributed Deep Networks , 2012, NIPS.
[23] R. L. Haggard,et al. A fixed point implementation of the backpropagation learning algorithm , 1994, Proceedings of SOUTHEASTCON '94.
[24] Geoffrey E. Hinton,et al. Rectified Linear Units Improve Restricted Boltzmann Machines , 2010, ICML.