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Binarized Neural Networks

8 February 2016
Itay Hubara
Daniel Soudry
Ran El-Yaniv
    MQ
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Papers citing "Binarized Neural Networks"

50 / 334 papers shown
Title
Depth-wise Decomposition for Accelerating Separable Convolutions in
  Efficient Convolutional Neural Networks
Depth-wise Decomposition for Accelerating Separable Convolutions in Efficient Convolutional Neural Networks
Yihui He
Jianing Qian
Jianren Wang
Cindy X. Le
Congrui Hetang
Qi Lyu
Wenping Wang
Tianwei Yue
48
11
0
21 Oct 2019
XNOR-Net++: Improved Binary Neural Networks
XNOR-Net++: Improved Binary Neural Networks
Adrian Bulat
Georgios Tzimiropoulos
MQ
39
200
0
30 Sep 2019
Impact of Low-bitwidth Quantization on the Adversarial Robustness for
  Embedded Neural Networks
Impact of Low-bitwidth Quantization on the Adversarial Robustness for Embedded Neural Networks
Rémi Bernhard
Pierre-Alain Moëllic
J. Dutertre
AAML
MQ
24
18
0
27 Sep 2019
Optimizing Speech Recognition For The Edge
Optimizing Speech Recognition For The Edge
Yuan Shangguan
Jian Li
Qiao Liang
R. Álvarez
Ian McGraw
25
64
0
26 Sep 2019
Deep Learning-based Polar Code Design
Deep Learning-based Polar Code Design
Moustafa Ebada
Sebastian Cammerer
Ahmed Elkelesh
S. Brink
21
34
0
26 Sep 2019
SkyNet: a Hardware-Efficient Method for Object Detection and Tracking on
  Embedded Systems
SkyNet: a Hardware-Efficient Method for Object Detection and Tracking on Embedded Systems
Xiaofan Zhang
Haoming Lu
Cong Hao
Jiachen Li
Bowen Cheng
...
Jinjun Xiong
Thomas Huang
Humphrey Shi
Wen-mei W. Hwu
Deming Chen
39
92
0
20 Sep 2019
Unrolling Ternary Neural Networks
Unrolling Ternary Neural Networks
Stephen Tridgell
M. Kumm
M. Hardieck
David Boland
Duncan J. M. Moss
P. Zipf
Philip H. W. Leong
21
26
0
09 Sep 2019
Learning Filter Basis for Convolutional Neural Network Compression
Learning Filter Basis for Convolutional Neural Network Compression
Yawei Li
Shuhang Gu
Luc Van Gool
Radu Timofte
SupR
17
5
0
23 Aug 2019
Bayesian Optimized 1-Bit CNNs
Bayesian Optimized 1-Bit CNNs
Jiaxin Gu
Junhe Zhao
Xiaolong Jiang
Baochang Zhang
Jianzhuang Liu
G. Guo
Rongrong Ji
BDL
MQ
17
56
0
17 Aug 2019
Differentiable Soft Quantization: Bridging Full-Precision and Low-Bit
  Neural Networks
Differentiable Soft Quantization: Bridging Full-Precision and Low-Bit Neural Networks
Ruihao Gong
Xianglong Liu
Shenghu Jiang
Tian-Hao Li
Peng Hu
Jiazhen Lin
F. Yu
Junjie Yan
MQ
32
446
0
14 Aug 2019
ACNet: Strengthening the Kernel Skeletons for Powerful CNN via
  Asymmetric Convolution Blocks
ACNet: Strengthening the Kernel Skeletons for Powerful CNN via Asymmetric Convolution Blocks
Xiaohan Ding
Yuchen Guo
Guiguang Ding
J. Han
31
659
0
11 Aug 2019
GDRQ: Group-based Distribution Reshaping for Quantization
GDRQ: Group-based Distribution Reshaping for Quantization
Haibao Yu
Tuopu Wen
Guangliang Cheng
Jiankai Sun
Qi Han
Jianping Shi
MQ
30
3
0
05 Aug 2019
Machine Learning at the Network Edge: A Survey
Machine Learning at the Network Edge: A Survey
M. G. Sarwar Murshed
Chris Murphy
Daqing Hou
Nazar Khan
Ganesh Ananthanarayanan
Faraz Hussain
38
378
0
31 Jul 2019
DeepCABAC: A Universal Compression Algorithm for Deep Neural Networks
DeepCABAC: A Universal Compression Algorithm for Deep Neural Networks
Simon Wiedemann
H. Kirchhoffer
Stefan Matlage
Paul Haase
Arturo Marbán
...
Ahmed Osman
D. Marpe
H. Schwarz
Thomas Wiegand
Wojciech Samek
49
92
0
27 Jul 2019
Distilled Siamese Networks for Visual Tracking
Distilled Siamese Networks for Visual Tracking
Jianbing Shen
Yuanpei Liu
Xingping Dong
Xiankai Lu
Fahad Shahbaz Khan
Guosheng Lin
15
101
0
24 Jul 2019
A Targeted Acceleration and Compression Framework for Low bit Neural
  Networks
A Targeted Acceleration and Compression Framework for Low bit Neural Networks
Biao Qian
Yang Wang
MQ
32
0
0
09 Jul 2019
QUOTIENT: Two-Party Secure Neural Network Training and Prediction
QUOTIENT: Two-Party Secure Neural Network Training and Prediction
Nitin Agrawal
Ali Shahin Shamsabadi
Matt J. Kusner
Adria Gascon
27
212
0
08 Jul 2019
A Tandem Learning Rule for Effective Training and Rapid Inference of
  Deep Spiking Neural Networks
A Tandem Learning Rule for Effective Training and Rapid Inference of Deep Spiking Neural Networks
Jibin Wu
Yansong Chua
Malu Zhang
Guoqi Li
Haizhou Li
Kay Chen Tan
26
14
0
02 Jul 2019
Improving Branch Prediction By Modeling Global History with
  Convolutional Neural Networks
Improving Branch Prediction By Modeling Global History with Convolutional Neural Networks
Stephen J. Tarsa
Chit-Kwan Lin
Gokce Keskin
G. Chinya
Hong Wang
13
26
0
20 Jun 2019
ViP: Virtual Pooling for Accelerating CNN-based Image Classification and
  Object Detection
ViP: Virtual Pooling for Accelerating CNN-based Image Classification and Object Detection
Zhuo Chen
Jiyuan Zhang
Ruizhou Ding
Diana Marculescu
13
12
0
19 Jun 2019
ALWANN: Automatic Layer-Wise Approximation of Deep Neural Network
  Accelerators without Retraining
ALWANN: Automatic Layer-Wise Approximation of Deep Neural Network Accelerators without Retraining
Vojtěch Mrázek
Z. Vašíček
Lukás Sekanina
Muhammad Abdullah Hanif
Muhammad Shafique
19
92
0
11 Jun 2019
The Architectural Implications of Facebook's DNN-based Personalized
  Recommendation
The Architectural Implications of Facebook's DNN-based Personalized Recommendation
Udit Gupta
Carole-Jean Wu
Xiaodong Wang
Maxim Naumov
Brandon Reagen
...
Andrey Malevich
Dheevatsa Mudigere
M. Smelyanskiy
Liang Xiong
Xuan Zhang
GNN
44
290
0
06 Jun 2019
Butterfly Transform: An Efficient FFT Based Neural Architecture Design
Butterfly Transform: An Efficient FFT Based Neural Architecture Design
Keivan Alizadeh-Vahid
Anish K. Prabhu
Ali Farhadi
Mohammad Rastegari
32
50
0
05 Jun 2019
Latent Weights Do Not Exist: Rethinking Binarized Neural Network
  Optimization
Latent Weights Do Not Exist: Rethinking Binarized Neural Network Optimization
K. Helwegen
James Widdicombe
Lukas Geiger
Zechun Liu
K. Cheng
Roeland Nusselder
MQ
27
110
0
05 Jun 2019
Constructing Energy-efficient Mixed-precision Neural Networks through
  Principal Component Analysis for Edge Intelligence
Constructing Energy-efficient Mixed-precision Neural Networks through Principal Component Analysis for Edge Intelligence
I. Chakraborty
Deboleena Roy
Isha Garg
Aayush Ankit
Kaushik Roy
21
37
0
04 Jun 2019
Memory-Driven Mixed Low Precision Quantization For Enabling Deep Network
  Inference On Microcontrollers
Memory-Driven Mixed Low Precision Quantization For Enabling Deep Network Inference On Microcontrollers
Manuele Rusci
Alessandro Capotondi
Luca Benini
MQ
19
74
0
30 May 2019
Robust Sparse Regularization: Simultaneously Optimizing Neural Network
  Robustness and Compactness
Robust Sparse Regularization: Simultaneously Optimizing Neural Network Robustness and Compactness
Adnan Siraj Rakin
Zhezhi He
Li Yang
Yanzhi Wang
Liqiang Wang
Deliang Fan
AAML
37
21
0
30 May 2019
OICSR: Out-In-Channel Sparsity Regularization for Compact Deep Neural
  Networks
OICSR: Out-In-Channel Sparsity Regularization for Compact Deep Neural Networks
Jiashi Li
Q. Qi
Jingyu Wang
Ce Ge
Yujian Betterest Li
Zhangzhang Yue
Haifeng Sun
BDL
CML
24
53
0
28 May 2019
MCNE: An End-to-End Framework for Learning Multiple Conditional Network
  Representations of Social Network
MCNE: An End-to-End Framework for Learning Multiple Conditional Network Representations of Social Network
Hao Wang
Tong Xu
Qi Liu
Defu Lian
Enhong Chen
Dongfang Du
Han Wu
Wen Su
12
114
0
27 May 2019
Object Detection in 20 Years: A Survey
Object Detection in 20 Years: A Survey
Zhengxia Zou
Keyan Chen
Zhenwei Shi
Yuhong Guo
Jieping Ye
VLM
ObjD
AI4TS
32
2,285
0
13 May 2019
SEALion: a Framework for Neural Network Inference on Encrypted Data
SEALion: a Framework for Neural Network Inference on Encrypted Data
Tim van Elsloo
Giorgio Patrini
Hamish Ivey-Law
FedML
16
42
0
29 Apr 2019
MorphIC: A 65-nm 738k-Synapse/mm$^2$ Quad-Core Binary-Weight Digital
  Neuromorphic Processor with Stochastic Spike-Driven Online Learning
MorphIC: A 65-nm 738k-Synapse/mm2^22 Quad-Core Binary-Weight Digital Neuromorphic Processor with Stochastic Spike-Driven Online Learning
Charlotte Frenkel
J. Legat
D. Bol
25
113
0
17 Apr 2019
Model Slicing for Supporting Complex Analytics with Elastic Inference
  Cost and Resource Constraints
Model Slicing for Supporting Complex Analytics with Elastic Inference Cost and Resource Constraints
Shaofeng Cai
Gang Chen
Beng Chin Ooi
Jinyang Gao
25
19
0
03 Apr 2019
Learning Content-Weighted Deep Image Compression
Learning Content-Weighted Deep Image Compression
Mu Li
W. Zuo
Shuhang Gu
J. You
David C. Zhang
22
70
0
01 Apr 2019
Distilling Task-Specific Knowledge from BERT into Simple Neural Networks
Distilling Task-Specific Knowledge from BERT into Simple Neural Networks
Raphael Tang
Yao Lu
Linqing Liu
Lili Mou
Olga Vechtomova
Jimmy J. Lin
21
153
0
28 Mar 2019
GCNv2: Efficient Correspondence Prediction for Real-Time SLAM
GCNv2: Efficient Correspondence Prediction for Real-Time SLAM
Jiexiong Tang
Ludvig Ericson
John Folkesson
Patric Jensfelt
3DPC
3DV
22
148
0
28 Feb 2019
Modulated binary cliquenet
Modulated binary cliquenet
Jinpeng Xia
Jiasong Wu
Youyong Kong
Pinzheng Zhang
L. Senhadji
H. Shu
MQ
13
0
0
27 Feb 2019
Gradient Scheduling with Global Momentum for Non-IID Data Distributed Asynchronous Training
Chengjie Li
Ruixuan Li
Yining Qi
Yuhua Li
Pan Zhou
Song Guo
Keqin Li
27
15
0
21 Feb 2019
XONN: XNOR-based Oblivious Deep Neural Network Inference
XONN: XNOR-based Oblivious Deep Neural Network Inference
M. Riazi
Mohammad Samragh
Hao Chen
Kim Laine
Kristin E. Lauter
F. Koushanfar
FedML
GNN
BDL
20
280
0
19 Feb 2019
Low-bit Quantization of Neural Networks for Efficient Inference
Low-bit Quantization of Neural Networks for Efficient Inference
Yoni Choukroun
Eli Kravchik
Fan Yang
P. Kisilev
MQ
24
355
0
18 Feb 2019
Optimally Scheduling CNN Convolutions for Efficient Memory Access
Optimally Scheduling CNN Convolutions for Efficient Memory Access
Arthur Stoutchinin
Francesco Conti
Luca Benini
33
43
0
04 Feb 2019
Self-Binarizing Networks
Self-Binarizing Networks
Fayez Lahoud
R. Achanta
Pablo Márquez-Neila
Sabine Süsstrunk
MQ
16
23
0
02 Feb 2019
Collaborative Execution of Deep Neural Networks on Internet of Things
  Devices
Collaborative Execution of Deep Neural Networks on Internet of Things Devices
Ramyad Hadidi
Jiashen Cao
Michael S. Ryoo
Hyesoon Kim
23
19
0
08 Jan 2019
DSConv: Efficient Convolution Operator
DSConv: Efficient Convolution Operator
Marcelo Gennari
Roger Fawcett
V. Prisacariu
MQ
29
62
0
07 Jan 2019
Entropy-Constrained Training of Deep Neural Networks
Entropy-Constrained Training of Deep Neural Networks
Simon Wiedemann
Arturo Marbán
K. Müller
Wojciech Samek
22
27
0
18 Dec 2018
Learning Multimodal Graph-to-Graph Translation for Molecular
  Optimization
Learning Multimodal Graph-to-Graph Translation for Molecular Optimization
Wengong Jin
Kevin Kaichuang Yang
Regina Barzilay
Tommi Jaakkola
33
224
0
03 Dec 2018
MDU-Net: Multi-scale Densely Connected U-Net for biomedical image
  segmentation
MDU-Net: Multi-scale Densely Connected U-Net for biomedical image segmentation
Jiawei Zhang
Yuzhen Jin
Jilan Xu
Xiaowei Xu
Yanchun Zhang
SSeg
MedIm
AI4CE
22
116
0
02 Dec 2018
LEARN Codes: Inventing Low-latency Codes via Recurrent Neural Networks
LEARN Codes: Inventing Low-latency Codes via Recurrent Neural Networks
Yihan Jiang
Hyeji Kim
Himanshu Asnani
Sreeram Kannan
Sewoong Oh
Pramod Viswanath
35
79
0
30 Nov 2018
MOBIUS: Model-Oblivious Binarized Neural Networks
MOBIUS: Model-Oblivious Binarized Neural Networks
Hiromasa Kitai
Jason Paul Cruz
Naoto Yanai
Naohisa Nishida
Tatsumi Oba
Yuji Unagami
Tadanori Teruya
Nuttapong Attrapadung
Takahiro Matsuda
Goichiro Hanaoka
22
7
0
29 Nov 2018
ESPNetv2: A Light-weight, Power Efficient, and General Purpose
  Convolutional Neural Network
ESPNetv2: A Light-weight, Power Efficient, and General Purpose Convolutional Neural Network
Sachin Mehta
Mohammad Rastegari
Linda G. Shapiro
Hannaneh Hajishirzi
VLM
23
392
0
28 Nov 2018
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