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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
Knowledge Distillation by On-the-Fly Native Ensemble
Knowledge Distillation by On-the-Fly Native Ensemble
Xu Lan
Xiatian Zhu
S. Gong
317
483
0
12 Jun 2018
Energy-Constrained Compression for Deep Neural Networks via Weighted
  Sparse Projection and Layer Input Masking
Energy-Constrained Compression for Deep Neural Networks via Weighted Sparse Projection and Layer Input Masking
Haichuan Yang
Yuhao Zhu
Ji Liu
CVBM
135
36
0
12 Jun 2018
Full deep neural network training on a pruned weight budget
Full deep neural network training on a pruned weight budget
Maximilian Golub
G. Lemieux
Mieszko Lis
98
28
0
11 Jun 2018
ATOMO: Communication-efficient Learning via Atomic Sparsification
ATOMO: Communication-efficient Learning via Atomic Sparsification
Hongyi Wang
Scott Sievert
Zachary B. Charles
Shengchao Liu
S. Wright
Dimitris Papailiopoulos
114
357
0
11 Jun 2018
Slalom: Fast, Verifiable and Private Execution of Neural Networks in
  Trusted Hardware
Slalom: Fast, Verifiable and Private Execution of Neural Networks in Trusted Hardware
Florian Tramèr
Dan Boneh
FedML
232
405
0
08 Jun 2018
Perturbative Neural Networks
Perturbative Neural Networks
Felix Juefei Xu
Vishnu Boddeti
Marios Savvides
70
38
0
05 Jun 2018
Layer rotation: a surprisingly powerful indicator of generalization in
  deep networks?
Layer rotation: a surprisingly powerful indicator of generalization in deep networks?
Simon Carbonnelle
Christophe De Vleeschouwer
MLT
84
1
0
05 Jun 2018
Targeted Kernel Networks: Faster Convolutions with Attentive
  Regularization
Targeted Kernel Networks: Faster Convolutions with Attentive Regularization
Kashyap Chitta
43
2
0
01 Jun 2018
Channel Gating Neural Networks
Channel Gating Neural Networks
Weizhe Hua
Yuan Zhou
Christopher De Sa
Zhiru Zhang
G. E. Suh
72
181
0
29 May 2018
A novel channel pruning method for deep neural network compression
A novel channel pruning method for deep neural network compression
Yiming Hu
Siyang Sun
Jianquan Li
Xingang Wang
Qingyi Gu
83
67
0
29 May 2018
Retraining-Based Iterative Weight Quantization for Deep Neural Networks
Retraining-Based Iterative Weight Quantization for Deep Neural Networks
Dongsoo Lee
Byeongwook Kim
MQ
95
16
0
29 May 2018
Adding New Tasks to a Single Network with Weight Transformations using
  Binary Masks
Adding New Tasks to a Single Network with Weight Transformations using Binary Masks
Massimiliano Mancini
Elisa Ricci
Barbara Caputo
Samuel Rota Buló
103
52
0
28 May 2018
Compact and Computationally Efficient Representation of Deep Neural
  Networks
Compact and Computationally Efficient Representation of Deep Neural Networks
Simon Wiedemann
K. Müller
Wojciech Samek
MQ
98
71
0
27 May 2018
Deployment of Customized Deep Learning based Video Analytics On
  Surveillance Cameras
Deployment of Customized Deep Learning based Video Analytics On Surveillance Cameras
Pratik Dubal
Rohan Mahadev
Suraj Kothawade
Kunal Dargan
Rishabh K. Iyer
48
4
0
27 May 2018
Accelerating CNN inference on FPGAs: A Survey
Accelerating CNN inference on FPGAs: A Survey
K. Abdelouahab
Maxime Pelcat
Jocelyn Serot
F. Berry
AI4CE
55
149
0
26 May 2018
Heterogeneous Bitwidth Binarization in Convolutional Neural Networks
Heterogeneous Bitwidth Binarization in Convolutional Neural Networks
Josh Fromm
Shwetak N. Patel
Matthai Philipose
MQ
94
27
0
25 May 2018
Tensorial Neural Networks: Generalization of Neural Networks and
  Application to Model Compression
Tensorial Neural Networks: Generalization of Neural Networks and Application to Model Compression
Jiahao Su
Jingling Li
Bobby Bhattacharjee
Furong Huang
85
20
0
25 May 2018
AutoPruner: An End-to-End Trainable Filter Pruning Method for Efficient
  Deep Model Inference
AutoPruner: An End-to-End Trainable Filter Pruning Method for Efficient Deep Model Inference
Jian-Hao Luo
Jianxin Wu
101
211
0
23 May 2018
Recurrent knowledge distillation
Recurrent knowledge distillation
S. Pintea
Yue Liu
Jan van Gemert
ODL
33
2
0
18 May 2018
PACT: Parameterized Clipping Activation for Quantized Neural Networks
PACT: Parameterized Clipping Activation for Quantized Neural Networks
Jungwook Choi
Zhuo Wang
Swagath Venkataramani
P. Chuang
Vijayalakshmi Srinivasan
K. Gopalakrishnan
MQ
128
960
0
16 May 2018
Energy Efficient Hadamard Neural Networks
Energy Efficient Hadamard Neural Networks
T. C. Deveci
Serdar Çakır
A. Enis Cetin
73
18
0
14 May 2018
Unifying and Merging Well-trained Deep Neural Networks for Inference
  Stage
Unifying and Merging Well-trained Deep Neural Networks for Inference Stage
Yi-Min Chou
Yi-Ming Chan
Jia-Hong Lee
Chih-Yi Chiu
Chu-Song Chen
MoMe
79
34
0
14 May 2018
ContextNet: Exploring Context and Detail for Semantic Segmentation in
  Real-time
ContextNet: Exploring Context and Detail for Semantic Segmentation in Real-time
Rudra P. K. Poudel
Ujwal D. Bonde
Stephan Liwicki
Christopher Zach
SSeg
94
232
0
11 May 2018
Adaptive Selection of Deep Learning Models on Embedded Systems
Adaptive Selection of Deep Learning Models on Embedded Systems
Ben Taylor
Vicent Sanz Marco
W. Wolff
Yehia El-khatib
Zheng Wang
51
13
0
11 May 2018
Boosting up Scene Text Detectors with Guided CNN
Boosting up Scene Text Detectors with Guided CNN
Xiaoyu Yue
Zhanghui Kuang
Zhaoyang Zhang
Zhenfang Chen
Pan He
Yu Qiao
Wayne Zhang
40
8
0
10 May 2018
Towards Accurate and High-Speed Spiking Neuromorphic Systems with Data
  Quantization-Aware Deep Networks
Towards Accurate and High-Speed Spiking Neuromorphic Systems with Data Quantization-Aware Deep Networks
Fuqiang Liu
Chenchen Liu
32
5
0
08 May 2018
Label Refinery: Improving ImageNet Classification through Label
  Progression
Label Refinery: Improving ImageNet Classification through Label Progression
Hessam Bagherinezhad
Maxwell Horton
Mohammad Rastegari
Ali Farhadi
90
190
0
07 May 2018
Quantization Mimic: Towards Very Tiny CNN for Object Detection
Quantization Mimic: Towards Very Tiny CNN for Object Detection
Yi Wei
Xinyu Pan
Hongwei Qin
Wanli Ouyang
Junjie Yan
ObjD
158
90
0
06 May 2018
UNIQ: Uniform Noise Injection for Non-Uniform Quantization of Neural
  Networks
UNIQ: Uniform Noise Injection for Non-Uniform Quantization of Neural Networks
Chaim Baskin
Eli Schwartz
Evgenii Zheltonozhskii
Natan Liss
Raja Giryes
A. Bronstein
A. Mendelson
MQ
106
45
0
29 Apr 2018
BrainSlug: Transparent Acceleration of Deep Learning Through Depth-First
  Parallelism
BrainSlug: Transparent Acceleration of Deep Learning Through Depth-First Parallelism
Nicolas Weber
F. Schmidt
Mathias Niepert
Felipe Huici
29
9
0
23 Apr 2018
Value-aware Quantization for Training and Inference of Neural Networks
Value-aware Quantization for Training and Inference of Neural Networks
Eunhyeok Park
S. Yoo
Peter Vajda
MQ
79
163
0
20 Apr 2018
Minimizing Area and Energy of Deep Learning Hardware Design Using
  Collective Low Precision and Structured Compression
Minimizing Area and Energy of Deep Learning Hardware Design Using Collective Low Precision and Structured Compression
Shihui Yin
Gaurav Srivastava
S. Venkataramanaiah
C. Chakrabarti
Visar Berisha
Jae-sun Seo
32
8
0
19 Apr 2018
Pelee: A Real-Time Object Detection System on Mobile Devices
Pelee: A Real-Time Object Detection System on Mobile Devices
R. Wang
Xiang Li
Charles X. Ling
ObjD
92
460
0
18 Apr 2018
Deep Face Recognition: A Survey
Deep Face Recognition: A Survey
Mei Wang
Weihong Deng
NoLa
166
1,244
0
18 Apr 2018
Training a Binary Weight Object Detector by Knowledge Transfer for
  Autonomous Driving
Training a Binary Weight Object Detector by Knowledge Transfer for Autonomous Driving
Jiaolong Xu
Peng Wang
Hengzhang Yang
Antonio M. López
MQ
74
23
0
17 Apr 2018
IGCV$2$: Interleaved Structured Sparse Convolutional Neural Networks
IGCV222: Interleaved Structured Sparse Convolutional Neural Networks
Guotian Xie
Jingdong Wang
Ting Zhang
Jianhuang Lai
Richang Hong
Guo-Jun Qi
123
107
0
17 Apr 2018
Fast inference of deep neural networks in FPGAs for particle physics
Fast inference of deep neural networks in FPGAs for particle physics
Javier Mauricio Duarte
Song Han
Philip C. Harris
S. Jindariani
E. Kreinar
...
J. Ngadiuba
M. Pierini
R. Rivera
N. Tran
Zhenbin Wu
AI4CE
166
397
0
16 Apr 2018
Hybrid Binary Networks: Optimizing for Accuracy, Efficiency and Memory
Hybrid Binary Networks: Optimizing for Accuracy, Efficiency and Memory
Ameya Prabhu
Vishal Batchu
Rohit Gajawada
Sri Aurobindo Munagala
A. Namboodiri
MQ
60
18
0
11 Apr 2018
NetAdapt: Platform-Aware Neural Network Adaptation for Mobile
  Applications
NetAdapt: Platform-Aware Neural Network Adaptation for Mobile Applications
Tien-Ju Yang
Andrew G. Howard
Bo Chen
Xiao Zhang
Alec Go
Mark Sandler
Vivienne Sze
Hartwig Adam
165
522
0
09 Apr 2018
Distribution-Aware Binarization of Neural Networks for Sketch
  Recognition
Distribution-Aware Binarization of Neural Networks for Sketch Recognition
Ameya Prabhu
Vishal Batchu
Sri Aurobindo Munagala
Rohit Gajawada
A. Namboodiri
MQ
117
5
0
09 Apr 2018
Learning Strict Identity Mappings in Deep Residual Networks
Learning Strict Identity Mappings in Deep Residual Networks
Xin Yu
Zhiding Yu
Srikumar Ramalingam
78
17
0
05 Apr 2018
Training DNNs with Hybrid Block Floating Point
Training DNNs with Hybrid Block Floating Point
M. Drumond
Tao R. Lin
Martin Jaggi
Babak Falsafi
87
98
0
04 Apr 2018
Building Efficient CNN Architecture for Offline Handwritten Chinese
  Character Recognition
Building Efficient CNN Architecture for Offline Handwritten Chinese Character Recognition
Zhiyuan Li
Nanjun Teng
Min Jin
Huaxiang Lu
41
52
0
04 Apr 2018
A Survey on Deep Learning Methods for Robot Vision
A Survey on Deep Learning Methods for Robot Vision
Javier Ruiz-del-Solar
P. Loncomilla
Naiomi Soto
70
60
0
28 Mar 2018
Adversarial Network Compression
Adversarial Network Compression
Vasileios Belagiannis
Azade Farshad
Fabio Galasso
GANAAML
88
58
0
28 Mar 2018
Diagonalwise Refactorization: An Efficient Training Method for Depthwise
  Convolutions
Diagonalwise Refactorization: An Efficient Training Method for Depthwise Convolutions
Zheng Qin
Zhaoning Zhang
Dongsheng Li
Yiming Zhang
Yuxing Peng
70
28
0
27 Mar 2018
Merging and Evolution: Improving Convolutional Neural Networks for
  Mobile Applications
Merging and Evolution: Improving Convolutional Neural Networks for Mobile Applications
Zheng Qin
Zhaoning Zhang
Shiqing Zhang
Hao Yu
Yuxing Peng
28
7
0
24 Mar 2018
Iterative Low-Rank Approximation for CNN Compression
Iterative Low-Rank Approximation for CNN Compression
Maksym Kholiavchenko
53
9
0
23 Mar 2018
SqueezeNext: Hardware-Aware Neural Network Design
SqueezeNext: Hardware-Aware Neural Network Design
A. Gholami
K. Kwon
Bichen Wu
Zizheng Tai
Xiangyu Yue
Peter H. Jin
Sicheng Zhao
Kurt Keutzer
88
299
0
23 Mar 2018
Task dependent Deep LDA pruning of neural networks
Task dependent Deep LDA pruning of neural networks
Qing Tian
Tal Arbel
James J. Clark
62
0
0
21 Mar 2018
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