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Multiplication (e.g., convolution) is arguably a cornerstone of modern deep neural networks (DNNs).
Adaptive equalizer using finite-bit power-of-two quantizer
Ping Xue and Bede Liu · 1986
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Fast neural networks without multipliers
Michele Marchesi, Gianni Orlandi, Francesco Piazza, and Aurelio Uncini · 1993
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Reduced latency ieee floating-point standard adder architectures
A. Beaumont-Smith, N. Burgess, S. Lefrere, and C. C. Lim · 1999
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Estimating face orientation from robust detection of salient facial structures
Nicolas Gourier, Daniela Hall, and James L Crowley · 2004
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Zynq-7000 all programmable soc zc706 evaluation kit (ise design suite 14.7)
Getting Started Guide · 2012
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Usc-had: a daily activity dataset for ubiquitous activity recognition using wearable sensors
Mi Zhang and Alexander A Sawchuk · 2012
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An approach to the application of shift-and-add algorithms on engineering and industrial processes
Jose-Luis Sanchez-Romero, Antonio Jimeno-Morenilla, Rafael Molina-Carmona, and Jose Perez-Martinez · 2013
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Energy table for 45nm process
Mark Horowitz · 2014
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Very deep convolutional networks for large-scale image recognition
Karen Simonyan and Andrew Zisserman · 2014
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mhealthdroid: a novel framework for agile development of mobile health applications
Oresti Banos, Rafael Garcia, Juan A Holgado-Terriza, Miguel Damas, Hector Pomares, Ignacio Rojas, Alejandro Saez, and Claudia Villalonga · 2014
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t-distributed stochastic neighbor embedding (t-sne), 2014
Laurens Van der Maaten · 2014
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Neural networks with few multiplications
Zhouhan Lin, Matthieu Courbariaux, Roland Memisevic, and Yoshua Bengio · 2015
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Coarse-to-fine trained multi-scale convolutional neural networks for image classification
Haobin Dou and Xihong Wu · 2015
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Human activity recognition using wearable sensors by deep convolutional neural networks
Wenchao Jiang and Zhaozheng Yin · 2015
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Variation-tolerant architectures for convolutional neural networks in the near threshold voltage regime
Y. Lin, S. Zhang, and N. R. Shanbhag · 2016
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Matthieu Courbariaux, Itay Hubara, Daniel Soudry, Ran El-Yaniv, and Yoshua Bengio · 2016
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Deep residual learning for image recognition
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun · 2016
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Mobilenets: Efficient convolutional neural networks for mobile vision applications
Andrew G Howard, Menglong Zhu, Bo Chen, Dmitry Kalenichenko, Weijun Wang, Tobias Weyand, Marco Andreetto, and Hartwig Adam · 2017
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PredictiveNet: An energy-efficient convolutional neural network via zero prediction
Y. Lin, C. Sakr, Y. Kim, and N. Shanbhag · 2017
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Local binary convolutional neural networks
Felix Juefei-Xu, Vishnu Naresh Boddeti, and Marios Savvides · 2017
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Imagenet training in 24 minutes
Yang You, Zhao Zhang, James Demmel, Kurt Keutzer, and Cho-Jui Hsieh · 2017
Cited alongside, same era.
Shift: A zero flop, zero parameter alternative to spatial convolutions
Bichen Wu, Alvin Wan, Xiangyu Yue, Peter Jin, Sicheng Zhao, Noah Golmant, Amir Gholaminejad, Joseph Gonzalez, and Kurt Keutzer · 2018
Cited alongside, same era.
On the expressive power of overlapping architectures of deep learning
Or Sharir and Amnon Shashua · 2018
Cited alongside, same era.
Rethinking the value of network pruning
Zhuang Liu, Mingjie Sun, Tinghui Zhou, Gao Huang, and Trevor Darrell · 2019
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The lottery ticket hypothesis: Finding sparse, trainable neural networks
Jonathan Frankle and Michael Carbin · 2019
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Energy and policy considerations for deep learning in nlp
Emma Strubell, Ananya Ganesh, and Andrew McCallum · 2019
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Addernet: Do we really need multiplications in deep learning?
Hanting Chen, Yunhe Wang, Chunjing Xu, Boxin Shi, Chao Xu, Qi Tian, and Chang Xu · 2020
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Addersr: Towards energy efficient image super-resolution
Dehua Song, Yunhe Wang, Hanting Chen, Chang Xu, Chunjing Xu, and DaCheng Tao · 2020
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Huasong Zhong, Xianggen Liu, Yihui He, and Yuchun Ma · 2018
Cited alongside, same era.
Non-euclidean vector product for neural networks
Arman Afrasiyabi, Diaa Badawi, Baris Nasir, Ozan Yildi, Fatios T Yarman Vural, and A Enis Çetin · 2018
Cited alongside, same era.
Vggface2: A dataset for recognising faces across pose and age
Q. Cao, L. Shen, W. Xie, O. M. Parkhi, and A. Zisserman · 2018
Cited alongside, same era.
Scalable methods for 8-bit training of neural networks
Ron Banner, Itay Hubara, Elad Hoffer, and Daniel Soudry · 2018
Cited alongside, same era.
All you need is a few shifts: Designing efficient convolutional neural networks for image classification
Weijie Chen, Di Xie, Yuan Zhang, and Shiliang Pu · 2019
Cited alongside, same era.
Deepshift: Towards multiplication-less neural networks
Mostafa Elhoushi, Farhan Shafiq, Ye Tian, Joey Yiwei Li, and Zihao Chen · 2019
Cited alongside, same era.
Latent weights do not exist: Rethinking binarized neural network optimization
Koen Helwegen, James Widdicombe, Lukas Geiger, Zechun Liu, Kwang-Ting Cheng, and Roeland Nusselder · 2019
Cited alongside, same era.
Yixing Xu, Chang Xu, Xinghao Chen, Wei Zhang, Chunjing Xu, and Yunhe Wang · 2020
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Ghostnet: More features from cheap operations
Kai Han, Yunhe Wang, Qi Tian, Jianyuan Guo, Chunjing Xu, and Chang Xu · 2020
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Go wide, then narrow: Efficient training of deep thin networks
Denny Zhou, Mao Ye, Chen Chen, Tianjian Meng, Mingxing Tan, Xiaodan Song, Quoc Le, Qiang Liu, and Dale Schuurmans · 2020
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Frequency domain compact 3d convolutional neural networks
Hanting Chen, Yunhe Wang, Han Shu, Yehui Tang, Chunjing Xu, Boxin Shi, Chao Xu, Qi Tian, and Chang Xu · 2020
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Orthogonal over-parameterized training
Weiyang Liu, Rongmei Lin, Zhen Liu, James M Rehg, Li Xiong, and Le Song · 2020
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Xilinx zynq-7000 soc zc706 evaluation kit
Xilinx Inc · 2020
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Smartexchange: Trading higher-cost memory storage/access for lower-cost computation
Yang Zhao, Xiaohan Chen, Yue Wang, Chaojian Li, Haoran You, Yonggan Fu, Yuan Xie, Zhangyang Wang, and Yingyan Lin · 2020
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Timely: Pushing data movements and interfaces in pim accelerators towards local and in time domain, 2020
Weitao Li, Pengfei Xu, Yang Zhao, Haitong Li, Yuan Xie, and Yingyan Lin · 2020
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Mixed-signal computing for deep neural network inference
B. Murmann · 2020
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Phlatcam: Designed phase-mask based thin lensless camera
Vivek Boominathan, Jesse Adams, Jacob Robinson, and Ashok Veeraraghavan · 2020
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Training high-performance and large-scale deep neural networks with full 8-bit integers
Yukuan Yang, Lei Deng, Shuang Wu, Tianyi Yan, Yuan Xie, and Guoqi Li · 2020
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HALO: Hardware-aware learning to optimize
Chaojian Li, Tianlong Chen, Haoran You, Zhangyang Wang, and Yingyan Lin · 2020
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