Training a Binary Weight Object Detector by Knowledge Transfer for Autonomous Driving
Jiaolong Xu, Peng Wang, Heng Yang, Antonio M. López
[paper]
Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference
Benoit Jacob, Skirmantas Kligys, Bo Chen, Menglong Zhu, Matthew Tang, Andrew Howard, Hartwig Adam, Dmitry Kalenichenko
[paper]
Verifying Properties of Binarized Deep Neural Networks
Nina Narodytska, Shiva Prasad Kasiviswanathan, Leonid Ryzhyk, Mooly Sagiv, Toby Walsh
[paper]
Embedded Binarized Neural Networks
Bradley McDanel, Surat Teerapittayanon, H.T. Kung
[paper]
Training Quantized Nets: A Deeper Understanding
Hao Li, Soham De, Zheng Xu, Christoph Studer, Hanan Samet, Tom Goldstein
[paper]
YodaNN: An Architecture for Ultra-Low Power Binary-Weight CNN Acceleration
Renzo Andri, Lukas Cavigelli, Davide Rossi, Luca Benini
[paper]
Incremental Network Quantization: Towards Lossless CNNs with Low-Precision Weights
Aojun Zhou, Anbang Yao, Yiwen Guo, Lin Xu, Yurong Chen
[paper]
BinaryNetとBinarized Deep Neural Network
[paper]
Scaling Binarized Neural Networks on Reconfigurable Logic
Nicholas J. Fraser, Yaman Umuroglu, Giulio Gambardella, Michaela Blott, Philip Leong, Magnus Jahre, Kees Vissers
[paper]
Fixed Point Quantization of Deep Convolutional Networks(ICML2016)
[paper]
XNOR-Net: ImageNet Classification Using Binary Convolutional Neural Networks
Mohammad Rastegari, Vicente Ordonez, Joseph Redmon, Ali Farhadi
[paper]
Binarized Neural Networks
Itay Hubara, Daniel Soudry, Ran El Yaniv
[paper]
[slide]
BinaryNet: Training Deep Neural Networks with Weights and Activations Constrained to +1 or -1
Matthieu Courbariaux, Yoshua Bengio
[paper]
[chainer]
Bitwise Neural Networks
Minje Kim, Paris Smaragdis
[paper]
[reddit]
real-value learning -> binarized learning
Deep Compression
Song Han, Huizi Mao, William J. Dally
[paper]
[link]
Deep Learning with Limited Numerical Precision
Suyog Gupta, Ankur Agrawal, Kailash Gopalakrishnan, Pritish Narayanan(IBM research)
[paper]
Neural Networks with Few Multiplications
Zhouhan Lin, Matthieu Courbariaux, Roland Memisevic, Yoshua Bengio
[paper]
[code]
[blogpost]
[some related video?]
[GitXiv]
quantized weight learning
BinaryConnect: Training Deep Neural Networks with binary weights during propagations
Matthieu Courbariaux, Yoshua Bengio, Jean-Pierre David
[paper]
[code]
[code2]
Deep learning with low precision multipliers
[paper]
[code]
[GitXiv]