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Deep Neural Networks (DNNs) typically require massive amount of computation resource in inference tasks for computer vision applications.
Backpropagation applied to handwritten zip code recognition
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Robust real-time object detection
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A fast learning algorithm for deep belief nets
G. E. Hinton, S. Osindero, and Y. W. Teh · 2006
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Convolutional deep belief networks for scalable unsupervised learning of hierarchical representations
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Natural language processing (almost) from scratch
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Imagenet classification with deep convolutional neural networks
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Sirius: An open end-to-end voice and vision personal assistant and its implications for future warehouse scale computers
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S. Ren, K. He, R. B. Girshick, and J. Sun · 2015
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Binarized Neural Networks
I. Hubara, M. Courbariaux, D. Soudry, R. El-Yaniv, and Y. Bengio · 2016
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Stripes: Bit-serial deep neural network computing
P. Judd, J. Albericio, T. H. Hetherington, T. M. Aamodt, and A. Moshovos · 2016
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F. Li and B. Liu · 2016
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XNOR-Net: ImageNet Classification Using Binary Convolutional Neural Networks
M. Rastegari, V. Ordonez, J. Redmon, and A. Farhadi · 2016
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DoReFa-Net: Training Low Bitwidth Convolutional Neural Networks with Low Bitwidth Gradients
S. Zhou, Z. Ni, X. Zhou, H. Wen, Y. Wu, and Y. Zou · 2016
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Designing Neural Network Architectures using Reinforcement Learning
B. Baker, O. Gupta, N. Naik, and R. Raskar · 2017
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Tvm: End-to-end optimization stack for deep learning
T. Chen, T. Moreau, Z. Jiang, H. Shen, E. Q. Yan, L. Wang, Y. Hu, L. Ceze, C. Guestrin, and A. Krishnamurthy · 2017
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TETRIS: Scalable and Efficient Neural Network Acceleration with 3D Memory
M. Gao, J. Pu, X. Yang, M. Horowitz, and C. E. Kozyrakis · 2017
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Google vizier: A service for black-box optimization
D. Golovin, B. Solnik, S. Moitra, G. Kochanski, J. Karro, and D. Sculley · 2017
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I. Hubara, M. Courbariaux, D. Soudry, R. El-Yaniv, and Y. Bengio · 2017
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P. Micikevicius, S. Narang, J. Alben, G. F. Diamos, E. Elsen, D. García, B. Ginsburg, M. Houston, O. Kuchaiev, G. Venkatesh, and H. Wu · 2017
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H. Pham, M. Y. Guan, B. Zoph, Q. V. Le, and J. Dean · 2018
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Bit fusion: Bit-level dynamically composable architecture for accelerating deep neural network
H. Sharma, J. Park, N. Suda, L. Lai, B. Chau, V. Chandra, and H. Esmaeilzadeh · 2018
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Gradient-Based Deep Quantization of Neural Networks through Sinusoidal Adaptive Regularization, 2020
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