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XNOR-Net: ImageNet Classification Using Binary Convolutional Neural
  Networks
v1v2v3v4 (latest)

XNOR-Net: ImageNet Classification Using Binary Convolutional Neural Networks

16 March 2016
Mohammad Rastegari
Vicente Ordonez
Joseph Redmon
Ali Farhadi
    MQ
ArXiv (abs)PDFHTML

Papers citing "XNOR-Net: ImageNet Classification Using Binary Convolutional Neural Networks"

50 / 1,731 papers shown
Title
Focus: Querying Large Video Datasets with Low Latency and Low Cost
Focus: Querying Large Video Datasets with Low Latency and Low Cost
Kevin Hsieh
Ganesh Ananthanarayanan
P. Bodík
P. Bahl
Matthai Philipose
Phillip B. Gibbons
O. Mutlu
98
280
0
10 Jan 2018
Learning a Wavelet-like Auto-Encoder to Accelerate Deep Neural Networks
Learning a Wavelet-like Auto-Encoder to Accelerate Deep Neural Networks
Tianshui Chen
Liang Lin
W. Zuo
Xiaonan Luo
Lei Zhang
75
56
0
20 Dec 2017
DeepPicar: A Low-cost Deep Neural Network-based Autonomous Car
DeepPicar: A Low-cost Deep Neural Network-based Autonomous Car
Michael Bechtel
Elise McEllhiney
Minje Kim
H. Yun
106
103
0
19 Dec 2017
clcNet: Improving the Efficiency of Convolutional Neural Network using
  Channel Local Convolutions
clcNet: Improving the Efficiency of Convolutional Neural Network using Channel Local Convolutions
Dong-Qing Zhang
60
10
0
17 Dec 2017
Quantization and Training of Neural Networks for Efficient
  Integer-Arithmetic-Only Inference
Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference
Benoit Jacob
S. Kligys
Bo Chen
Menglong Zhu
Matthew Tang
Andrew G. Howard
Hartwig Adam
Dmitry Kalenichenko
MQ
369
3,163
0
15 Dec 2017
Learning Binary Residual Representations for Domain-specific Video
  Streaming
Learning Binary Residual Representations for Domain-specific Video Streaming
Yi-Hsuan Tsai
Ming-Yuan Liu
Deqing Sun
Ming-Hsuan Yang
Jan Kautz
72
35
0
14 Dec 2017
An Enhanced Hybrid MobileNet
An Enhanced Hybrid MobileNet
Hong-Yen Chen
Chung-Yen Su
37
74
0
13 Dec 2017
StrassenNets: Deep Learning with a Multiplication Budget
StrassenNets: Deep Learning with a Multiplication Budget
Michael Tschannen
Aran Khanna
Anima Anandkumar
80
30
0
11 Dec 2017
High performance ultra-low-precision convolutions on mobile devices
High performance ultra-low-precision convolutions on mobile devices
Andrew Tulloch
Yangqing Jia
HAIMQ
64
28
0
06 Dec 2017
Automated Pruning for Deep Neural Network Compression
Automated Pruning for Deep Neural Network Compression
Franco Manessi
A. Rozza
Simone Bianco
Paolo Napoletano
Raimondo Schettini
94
57
0
05 Dec 2017
Bit Fusion: Bit-Level Dynamically Composable Architecture for
  Accelerating Deep Neural Networks
Bit Fusion: Bit-Level Dynamically Composable Architecture for Accelerating Deep Neural Networks
Hardik Sharma
Jongse Park
Naveen Suda
Liangzhen Lai
Benson Chau
Joo-Young Kim
Vikas Chandra
H. Esmaeilzadeh
MQ
93
494
0
05 Dec 2017
Structured Deep Neural Network Pruning via Matrix Pivoting
Structured Deep Neural Network Pruning via Matrix Pivoting
Ranko Sredojevic
Shaoyi Cheng
Lazar Supic
R. Naous
Vladimir M. Stojanović
72
7
0
01 Dec 2017
Towards Accurate Binary Convolutional Neural Network
Towards Accurate Binary Convolutional Neural Network
Xiaofan Lin
Cong Zhao
Wei Pan
MQ
130
650
0
30 Nov 2017
Modeling Information Flow Through Deep Neural Networks
Modeling Information Flow Through Deep Neural Networks
Ahmad Chaddad
Behnaz Naisiri
M. Pedersoli
Eric Granger
Christian Desrosiers
Matthew Toews
32
5
0
29 Nov 2017
WSNet: Compact and Efficient Networks Through Weight Sampling
WSNet: Compact and Efficient Networks Through Weight Sampling
Xiaojie Jin
Yingzhen Yang
N. Xu
Jianchao Yang
Nebojsa Jojic
Jiashi Feng
Shuicheng Yan
60
2
0
28 Nov 2017
An Introduction to Deep Visual Explanation
An Introduction to Deep Visual Explanation
H. Babiker
Randy Goebel
FAttAAML
66
19
0
26 Nov 2017
CondenseNet: An Efficient DenseNet using Learned Group Convolutions
CondenseNet: An Efficient DenseNet using Learned Group Convolutions
Gao Huang
Shichen Liu
Laurens van der Maaten
Kilian Q. Weinberger
150
800
0
25 Nov 2017
Deep Learning for Real-Time Crime Forecasting and its Ternarization
Deep Learning for Real-Time Crime Forecasting and its Ternarization
Bao Wang
Penghang Yin
Andrea L. Bertozzi
P. Brantingham
Stanley J. Osher
Jack Xin
AI4TS
67
85
0
23 Nov 2017
Deep Expander Networks: Efficient Deep Networks from Graph Theory
Deep Expander Networks: Efficient Deep Networks from Graph Theory
Ameya Prabhu
G. Varma
A. Namboodiri
GNN
142
72
0
23 Nov 2017
BlockDrop: Dynamic Inference Paths in Residual Networks
BlockDrop: Dynamic Inference Paths in Residual Networks
Zuxuan Wu
Tushar Nagarajan
Abhishek Kumar
Steven J. Rennie
L. Davis
Kristen Grauman
Rogerio Feris
128
471
0
22 Nov 2017
Shift: A Zero FLOP, Zero Parameter Alternative to Spatial Convolutions
Shift: A Zero FLOP, Zero Parameter Alternative to Spatial Convolutions
Bichen Wu
Alvin Wan
Xiangyu Yue
Peter H. Jin
Sicheng Zhao
Noah Golmant
A. Gholaminejad
Joseph E. Gonzalez
Kurt Keutzer
3DPC
123
365
0
22 Nov 2017
Design Automation for Binarized Neural Networks: A Quantum Leap
  Opportunity?
Design Automation for Binarized Neural Networks: A Quantum Leap Opportunity?
Manuele Rusci
Lukas Cavigelli
Luca Benini
MQ
65
20
0
21 Nov 2017
SquishedNets: Squishing SqueezeNet further for edge device scenarios via
  deep evolutionary synthesis
SquishedNets: Squishing SqueezeNet further for edge device scenarios via deep evolutionary synthesis
M. Shafiee
Francis Li
Brendan Chwyl
A. Wong
71
26
0
20 Nov 2017
Beyond Sparsity: Tree Regularization of Deep Models for Interpretability
Beyond Sparsity: Tree Regularization of Deep Models for Interpretability
Mike Wu
M. C. Hughes
S. Parbhoo
Maurizio Zazzi
Volker Roth
Finale Doshi-Velez
AI4CE
160
284
0
16 Nov 2017
NISP: Pruning Networks using Neuron Importance Score Propagation
NISP: Pruning Networks using Neuron Importance Score Propagation
Ruichi Yu
Ang Li
Chun-Fu Chen
Jui-Hsin Lai
Vlad I. Morariu
Xintong Han
M. Gao
Ching-Yung Lin
L. Davis
87
802
0
16 Nov 2017
Apprentice: Using Knowledge Distillation Techniques To Improve
  Low-Precision Network Accuracy
Apprentice: Using Knowledge Distillation Techniques To Improve Low-Precision Network Accuracy
Asit K. Mishra
Debbie Marr
FedML
105
333
0
15 Nov 2017
PackNet: Adding Multiple Tasks to a Single Network by Iterative Pruning
PackNet: Adding Multiple Tasks to a Single Network by Iterative Pruning
Arun Mallya
Svetlana Lazebnik
CLL
192
1,312
0
15 Nov 2017
ADaPTION: Toolbox and Benchmark for Training Convolutional Neural
  Networks with Reduced Numerical Precision Weights and Activation
ADaPTION: Toolbox and Benchmark for Training Convolutional Neural Networks with Reduced Numerical Precision Weights and Activation
Moritz B. Milde
Daniel Neil
Alessandro Aimar
T. Delbruck
Giacomo Indiveri
MQ
83
10
0
13 Nov 2017
Quantized Memory-Augmented Neural Networks
Quantized Memory-Augmented Neural Networks
Seongsik Park
Seijoon Kim
Seil Lee
Ho Bae
Sungroh Yoon
MQ
55
16
0
10 Nov 2017
Block-Sparse Recurrent Neural Networks
Block-Sparse Recurrent Neural Networks
Sharan Narang
Eric Undersander
G. Diamos
69
139
0
08 Nov 2017
Flexpoint: An Adaptive Numerical Format for Efficient Training of Deep
  Neural Networks
Flexpoint: An Adaptive Numerical Format for Efficient Training of Deep Neural Networks
Urs Koster
T. Webb
Xin Eric Wang
Marcel Nassar
Arjun K. Bansal
...
Luke Hornof
A. Khosrowshahi
Carey Kloss
Ruby J. Pai
N. Rao
MQ
66
262
0
06 Nov 2017
Neural Speed Reading via Skim-RNN
Neural Speed Reading via Skim-RNN
Minjoon Seo
Sewon Min
Ali Farhadi
Hannaneh Hajishirzi
113
79
0
06 Nov 2017
ReBNet: Residual Binarized Neural Network
ReBNet: Residual Binarized Neural Network
M. Ghasemzadeh
Mohammad Samragh
F. Koushanfar
MQ
60
4
0
03 Nov 2017
Attacking Binarized Neural Networks
Attacking Binarized Neural Networks
A. Galloway
Graham W. Taylor
M. Moussa
MQAAML
100
106
0
01 Nov 2017
Efficient Inferencing of Compressed Deep Neural Networks
Efficient Inferencing of Compressed Deep Neural Networks
Dharma Teja Vooturi
Saurabh Goyal
Anamitra R. Choudhury
Yogish Sabharwal
Ashish Verma
49
6
0
01 Nov 2017
Towards Effective Low-bitwidth Convolutional Neural Networks
Towards Effective Low-bitwidth Convolutional Neural Networks
Bohan Zhuang
Chunhua Shen
Mingkui Tan
Lingqiao Liu
Ian Reid
MQ
135
234
0
01 Nov 2017
Deep Learning as a Mixed Convex-Combinatorial Optimization Problem
Deep Learning as a Mixed Convex-Combinatorial Optimization Problem
A. Friesen
Pedro M. Domingos
57
20
0
31 Oct 2017
Revisit Fuzzy Neural Network: Demystifying Batch Normalization and ReLU
  with Generalized Hamming Network
Revisit Fuzzy Neural Network: Demystifying Batch Normalization and ReLU with Generalized Hamming Network
Lixin Fan
73
26
0
27 Oct 2017
A Survey of Model Compression and Acceleration for Deep Neural Networks
A Survey of Model Compression and Acceleration for Deep Neural Networks
Yu Cheng
Duo Wang
Pan Zhou
Zhang Tao
207
1,102
0
23 Oct 2017
BENCHIP: Benchmarking Intelligence Processors
BENCHIP: Benchmarking Intelligence Processors
Jinhua Tao
Zidong Du
Qi Guo
Huiying Lan
Lei Zhang
...
Allen Rush
Willian Chen
Shaoli Liu
Yunji Chen
Tianshi Chen
78
36
0
23 Oct 2017
Learning Discrete Weights Using the Local Reparameterization Trick
Learning Discrete Weights Using the Local Reparameterization Trick
Oran Shayer
Dan Levi
Ethan Fetaya
100
88
0
21 Oct 2017
Data-Free Knowledge Distillation for Deep Neural Networks
Data-Free Knowledge Distillation for Deep Neural Networks
Raphael Gontijo-Lopes
Stefano Fenu
Thad Starner
107
273
0
19 Oct 2017
TensorQuant - A Simulation Toolbox for Deep Neural Network Quantization
TensorQuant - A Simulation Toolbox for Deep Neural Network Quantization
D. Loroch
Norbert Wehn
Franz-Josef Pfreundt
J. Keuper
MQ
67
23
0
13 Oct 2017
Mixed Precision Training
Mixed Precision Training
Paulius Micikevicius
Sharan Narang
Jonah Alben
G. Diamos
Erich Elsen
...
Boris Ginsburg
Michael Houston
Oleksii Kuchaiev
Ganesh Venkatesh
Hao Wu
217
1,816
0
10 Oct 2017
Keynote: Small Neural Nets Are Beautiful: Enabling Embedded Systems with
  Small Deep-Neural-Network Architectures
Keynote: Small Neural Nets Are Beautiful: Enabling Embedded Systems with Small Deep-Neural-Network Architectures
F. Iandola
Kurt Keutzer
77
37
0
07 Oct 2017
To prune, or not to prune: exploring the efficacy of pruning for model
  compression
To prune, or not to prune: exploring the efficacy of pruning for model compression
Michael Zhu
Suyog Gupta
217
1,289
0
05 Oct 2017
Machine Learning Models that Remember Too Much
Machine Learning Models that Remember Too Much
Congzheng Song
Thomas Ristenpart
Vitaly Shmatikov
VLM
84
522
0
22 Sep 2017
Structured Probabilistic Pruning for Convolutional Neural Network
  Acceleration
Structured Probabilistic Pruning for Convolutional Neural Network Acceleration
Huan Wang
Qiming Zhang
Yuehai Wang
Roland Hu
117
11
0
20 Sep 2017
Embedding Deep Networks into Visual Explanations
Embedding Deep Networks into Visual Explanations
Chen Ma
Saeed Khorram
Fuxin Li
52
27
0
15 Sep 2017
Recursive Binary Neural Network Learning Model with 2.28b/Weight Storage
  Requirement
Recursive Binary Neural Network Learning Model with 2.28b/Weight Storage Requirement
Tianchan Guan
Xiaoyang Zeng
Mingoo Seok
MQ
42
6
0
15 Sep 2017
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