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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 / 341 papers shown
Title
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
HAQ: Hardware-Aware Automated Quantization with Mixed Precision
HAQ: Hardware-Aware Automated Quantization with Mixed Precision
Kuan-Chieh Jackson Wang
Zhijian Liu
Yujun Lin
Ji Lin
Song Han
MQ
50
872
0
21 Nov 2018
Regularizing by the Variance of the Activations' Sample-Variances
Regularizing by the Variance of the Activations' Sample-Variances
Etai Littwin
Lior Wolf
VLM
15
12
0
21 Nov 2018
NestDNN: Resource-Aware Multi-Tenant On-Device Deep Learning for
  Continuous Mobile Vision
NestDNN: Resource-Aware Multi-Tenant On-Device Deep Learning for Continuous Mobile Vision
Biyi Fang
Xiao Zeng
Mi Zhang
3DH
23
263
0
23 Oct 2018
Differentiable Fine-grained Quantization for Deep Neural Network
  Compression
Differentiable Fine-grained Quantization for Deep Neural Network Compression
Hsin-Pai Cheng
Yuanjun Huang
Xuyang Guo
Yifei Huang
Feng Yan
Hai Helen Li
Yiran Chen
MQ
21
14
0
20 Oct 2018
Rethinking the Value of Network Pruning
Rethinking the Value of Network Pruning
Zhuang Liu
Mingjie Sun
Tinghui Zhou
Gao Huang
Trevor Darrell
10
1,449
0
11 Oct 2018
Combinatorial Attacks on Binarized Neural Networks
Combinatorial Attacks on Binarized Neural Networks
Elias Boutros Khalil
Amrita Gupta
B. Dilkina
AAML
49
40
0
08 Oct 2018
NSGA-Net: Neural Architecture Search using Multi-Objective Genetic
  Algorithm
NSGA-Net: Neural Architecture Search using Multi-Objective Genetic Algorithm
Zhichao Lu
Ian Whalen
Vishnu Naresh Boddeti
Yashesh D. Dhebar
Kalyanmoy Deb
E. Goodman
W. Banzhaf
34
81
0
08 Oct 2018
Towards Fast and Energy-Efficient Binarized Neural Network Inference on
  FPGA
Towards Fast and Energy-Efficient Binarized Neural Network Inference on FPGA
Cheng Fu
Shilin Zhu
Hao Su
Ching-En Lee
Jishen Zhao
MQ
17
31
0
04 Oct 2018
Simultaneously Optimizing Weight and Quantizer of Ternary Neural Network
  using Truncated Gaussian Approximation
Simultaneously Optimizing Weight and Quantizer of Ternary Neural Network using Truncated Gaussian Approximation
Zhezhi He
Deliang Fan
MQ
16
66
0
02 Oct 2018
Hardware-Aware Machine Learning: Modeling and Optimization
Hardware-Aware Machine Learning: Modeling and Optimization
Diana Marculescu
Dimitrios Stamoulis
E. Cai
16
45
0
14 Sep 2018
Deep Learning for Generic Object Detection: A Survey
Deep Learning for Generic Object Detection: A Survey
Li Liu
Wanli Ouyang
Xiaogang Wang
Paul Fieguth
Jie Chen
Xinwang Liu
M. Pietikäinen
ObjD
VLM
OOD
72
2,420
0
06 Sep 2018
DeepHunter: Hunting Deep Neural Network Defects via Coverage-Guided
  Fuzzing
DeepHunter: Hunting Deep Neural Network Defects via Coverage-Guided Fuzzing
Xiaofei Xie
L. Ma
Felix Juefei Xu
Hongxu Chen
Minhui Xue
Bo-wen Li
Yang Liu
Jianjun Zhao
Jianxiong Yin
Simon See
40
40
0
04 Sep 2018
Blended Coarse Gradient Descent for Full Quantization of Deep Neural
  Networks
Blended Coarse Gradient Descent for Full Quantization of Deep Neural Networks
Penghang Yin
Shuai Zhang
J. Lyu
Stanley Osher
Y. Qi
Jack Xin
MQ
38
61
0
15 Aug 2018
Hierarchical binary CNNs for landmark localization with limited
  resources
Hierarchical binary CNNs for landmark localization with limited resources
Adrian Bulat
Georgios Tzimiropoulos
CVBM
3DV
21
36
0
14 Aug 2018
Quantized Densely Connected U-Nets for Efficient Landmark Localization
Quantized Densely Connected U-Nets for Efficient Landmark Localization
Zhiqiang Tang
Xi Peng
Shijie Geng
Lingfei Wu
Shaoting Zhang
Dimitris N. Metaxas
3DV
19
143
0
07 Aug 2018
Design Flow of Accelerating Hybrid Extremely Low Bit-width Neural
  Network in Embedded FPGA
Design Flow of Accelerating Hybrid Extremely Low Bit-width Neural Network in Embedded FPGA
Junsong Wang
Qiuwen Lou
Xiaofan Zhang
Chao Zhu
Yonghua Lin
Deming Chen
MQ
33
93
0
31 Jul 2018
DFTerNet: Towards 2-bit Dynamic Fusion Networks for Accurate Human
  Activity Recognition
DFTerNet: Towards 2-bit Dynamic Fusion Networks for Accurate Human Activity Recognition
Zhan Yang
Osolo Ian Raymond
Chengyuan Zhang
Ying Wan
J. Long
CVBM
39
36
0
31 Jul 2018
Supporting Very Large Models using Automatic Dataflow Graph Partitioning
Supporting Very Large Models using Automatic Dataflow Graph Partitioning
Minjie Wang
Chien-chin Huang
Jinyang Li
37
154
0
24 Jul 2018
FINN-L: Library Extensions and Design Trade-off Analysis for Variable
  Precision LSTM Networks on FPGAs
FINN-L: Library Extensions and Design Trade-off Analysis for Variable Precision LSTM Networks on FPGAs
Vladimir Rybalkin
Alessandro Pappalardo
M. M. Ghaffar
Giulio Gambardella
Norbert Wehn
Michaela Blott
11
72
0
11 Jul 2018
Auto Deep Compression by Reinforcement Learning Based Actor-Critic
  Structure
Auto Deep Compression by Reinforcement Learning Based Actor-Critic Structure
Hamed Hakkak
OffRL
AI4CE
15
1
0
08 Jul 2018
Binary Ensemble Neural Network: More Bits per Network or More Networks
  per Bit?
Binary Ensemble Neural Network: More Bits per Network or More Networks per Bit?
Shilin Zhu
Xin Dong
Hao Su
MQ
30
135
0
20 Jun 2018
Scalable Neural Network Compression and Pruning Using Hard Clustering
  and L1 Regularization
Scalable Neural Network Compression and Pruning Using Hard Clustering and L1 Regularization
Yibo Yang
Nicholas Ruozzi
Vibhav Gogate
21
2
0
14 Jun 2018
Reservoir Computing Hardware with Cellular Automata
Reservoir Computing Hardware with Cellular Automata
Alejandro Morán
Christiam F. Frasser
J. Rosselló
21
11
0
13 Jun 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
25
51
0
28 May 2018
AxTrain: Hardware-Oriented Neural Network Training for Approximate
  Inference
AxTrain: Hardware-Oriented Neural Network Training for Approximate Inference
Xin He
Liu Ke
Wenyan Lu
Guihai Yan
Xuan Zhang
19
33
0
21 May 2018
Hu-Fu: Hardware and Software Collaborative Attack Framework against
  Neural Networks
Hu-Fu: Hardware and Software Collaborative Attack Framework against Neural Networks
Wenshuo Li
Jincheng Yu
Xuefei Ning
Pengjun Wang
Qi Wei
Yu Wang
Huazhong Yang
AAML
31
61
0
14 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
22
88
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
19
45
0
29 Apr 2018
Efficient Contextualized Representation: Language Model Pruning for
  Sequence Labeling
Efficient Contextualized Representation: Language Model Pruning for Sequence Labeling
Liyuan Liu
Xiang Ren
Jingbo Shang
Jian-wei Peng
Jiawei Han
25
44
0
20 Apr 2018
UCNN: Exploiting Computational Reuse in Deep Neural Networks via Weight
  Repetition
UCNN: Exploiting Computational Reuse in Deep Neural Networks via Weight Repetition
Kartik Hegde
Jiyong Yu
R. Agrawal
Mengjia Yan
Michael Pellauer
Christopher W. Fletcher
19
165
0
18 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
16
105
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
77
387
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
30
18
0
11 Apr 2018
Efficient Image Dataset Classification Difficulty Estimation for
  Predicting Deep-Learning Accuracy
Efficient Image Dataset Classification Difficulty Estimation for Predicting Deep-Learning Accuracy
F. Scheidegger
R. Istrate
G. Mariani
Luca Benini
C. Bekas
C. Malossi
VLM
37
44
0
26 Mar 2018
ESPNet: Efficient Spatial Pyramid of Dilated Convolutions for Semantic
  Segmentation
ESPNet: Efficient Spatial Pyramid of Dilated Convolutions for Semantic Segmentation
Sachin Mehta
Mohammad Rastegari
A. Caspi
Linda G. Shapiro
Hannaneh Hajishirzi
SSeg
43
777
0
19 Mar 2018
Toolflows for Mapping Convolutional Neural Networks on FPGAs: A Survey
  and Future Directions
Toolflows for Mapping Convolutional Neural Networks on FPGAs: A Survey and Future Directions
Stylianos I. Venieris
Alexandros Kouris
C. Bouganis
13
184
0
15 Mar 2018
Recurrent Residual Module for Fast Inference in Videos
Recurrent Residual Module for Fast Inference in Videos
Bowen Pan
Wuwei Lin
Xiaolin Fang
Chaoqin Huang
Bolei Zhou
Cewu Lu
ObjD
25
33
0
27 Feb 2018
Demystifying Parallel and Distributed Deep Learning: An In-Depth
  Concurrency Analysis
Demystifying Parallel and Distributed Deep Learning: An In-Depth Concurrency Analysis
Tal Ben-Nun
Torsten Hoefler
GNN
33
702
0
26 Feb 2018
PBGen: Partial Binarization of Deconvolution-Based Generators for Edge
  Intelligence
PBGen: Partial Binarization of Deconvolution-Based Generators for Edge Intelligence
Jinglan Liu
Jiaxin Zhang
Yukun Ding
Xiaowei Xu
Meng Jiang
Yiyu Shi
36
4
0
26 Feb 2018
FD-MobileNet: Improved MobileNet with a Fast Downsampling Strategy
FD-MobileNet: Improved MobileNet with a Fast Downsampling Strategy
Zheng Qin
Zhaoning Zhang
Xiaotao Chen
Yuxing Peng
MQ
29
104
0
11 Feb 2018
AMC: AutoML for Model Compression and Acceleration on Mobile Devices
AMC: AutoML for Model Compression and Acceleration on Mobile Devices
Yihui He
Ji Lin
Zhijian Liu
Hanrui Wang
Li-Jia Li
Song Han
33
1,340
0
10 Feb 2018
Learning Compact Neural Networks with Regularization
Learning Compact Neural Networks with Regularization
Samet Oymak
MLT
41
39
0
05 Feb 2018
Recovering from Random Pruning: On the Plasticity of Deep Convolutional
  Neural Networks
Recovering from Random Pruning: On the Plasticity of Deep Convolutional Neural Networks
Deepak Mittal
S. Bhardwaj
Mitesh M. Khapra
Balaraman Ravindran
VLM
33
65
0
31 Jan 2018
BinaryRelax: A Relaxation Approach For Training Deep Neural Networks
  With Quantized Weights
BinaryRelax: A Relaxation Approach For Training Deep Neural Networks With Quantized Weights
Penghang Yin
Shuai Zhang
J. Lyu
Stanley Osher
Y. Qi
Jack Xin
MQ
22
78
0
19 Jan 2018
FFT-Based Deep Learning Deployment in Embedded Systems
FFT-Based Deep Learning Deployment in Embedded Systems
Sheng Lin
Ning Liu
M. Nazemi
Hongjia Li
Caiwen Ding
Yanzhi Wang
Massoud Pedram
41
52
0
13 Dec 2017
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