Fetching the paper…
Reading the bibliography…
In this paper we introduce ShiftCNN, a generalized low-precision architecture for inference of multiplierless convolutional neural networks (CNNs).
Optimal brain damage
Yann LeCun, John S. Denker, and Sara A. Solla · 1990
Earlier work this paper cites.
Computing’s energy problem (and what we can do about it)
Mark Horowitz · 2014
Earlier work this paper cites.
Caffe: Convolutional architecture for fast feature embedding
Yangqing Jia, Evan Shelhamer, Jeff Donahue, Sergey Karayev, Jonathan Long, Ross Girshick, Sergio Guadarrama, and Trevor Darrell · 2014
Earlier work this paper cites.
Training deep neural networks with low precision multiplications
Matthieu Courbariaux, Yoshua Bengio, and Jean-Pierre David · 2015
Earlier work this paper cites.
Deep residual learning for image recognition
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun · 2015
Earlier work this paper cites.
Fast algorithms for convolutional neural networks
Andrew Lavin · 2015
Earlier work this paper cites.
ImageNet Large Scale Visual Recognition Challenge
Olga Russakovsky, Jia Deng, Hao Su, Jonathan Krause, Sanjeev Satheesh, Sean Ma, Zhiheng Huang, Andrej Karpathy, Aditya Khosla, Michael Bernstein, Alexander C. Berg, and Li Fei-Fei · 2015
Earlier work this paper cites.
LCNN: lookup-based convolutional neural network
Hessam Bagherinezhad, Mohammad Rastegari, and Ali Farhadi · 2016
Cited alongside, same era.
Deep Learning
Ian Goodfellow, Yoshua Bengio, and Aaron Courville · 2016
Cited alongside, same era.
Hardware-oriented approximation of convolutional neural networks
Philipp Gysel, Mohammad Motamedi, and Soheil Ghiasi · 2016
Cited alongside, same era.
Deep compression: Compressing deep neural networks with pruning, trained quantization and Huffman coding
Song Han, Huizi Mao, and William J Dally · 2016
Cited alongside, same era.
Binarized neural networks
Itay Hubara, Matthieu Courbariaux, Daniel Soudry, Ran El-Yaniv, and Yoshua Bengio · 2016
Cited alongside, same era.
XNOR-net: Imagenet classification using binary convolutional neural networks
Mohammad Rastegari, Vicente Ordonez, Joseph Redmon, and Ali Farhadi · 2016
Later among the works it cites.
You only look once: Unified, real-time object detection
Joseph Redmon, Santosh Divvala, Ross Girshick, and Ali Farhadi · 2016
Later among the works it cites.
Fully convolutional networks for semantic segmentation
Evan Shelhamer, Jonathan Long, and Trevor Darrell · 2016
Later among the works it cites.
Towards the limit of network quantization
Yoojin Choi, Mostafa El-Khamy, and Jungwon Lee · 2017
Closest in time.
Efficient processing of deep neural networks: A tutorial and survey
Vivienne Sze, Yu-Hsin Chen, Tien-Ju Yang, and Joel Emer · 2017
Closest in time.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Fengfu Li and Bin Liu · 2016
Cited alongside, same era.
Convolutional neural networks using logarithmic data representation
Daisuke Miyashita, Edward H. Lee, and Boris Murmann · 2016
Cited alongside, same era.
Incremental network quantization: Towards lossless CNNs with low-precision weights
Aojun Zhou, Anbang Yao, Yiwen Guo, Lin Xu, and Yurong Chen · 2017
Closest in time.