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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
PAMS: Quantized Super-Resolution via Parameterized Max Scale
PAMS: Quantized Super-Resolution via Parameterized Max Scale
Huixia Li
Chenqian Yan
Shaohui Lin
Xiawu Zheng
Yuchao Li
Baochang Zhang
Fan Yang
Rongrong Ji
MQ
76
86
0
09 Nov 2020
ReFloat: Low-Cost Floating-Point Processing in ReRAM for Accelerating
  Iterative Linear Solvers
ReFloat: Low-Cost Floating-Point Processing in ReRAM for Accelerating Iterative Linear Solvers
Linghao Song
Fan Chen
Xuehai Qian
Hai Li
Yiran Chen
62
6
0
06 Nov 2020
Generalized Negative Correlation Learning for Deep Ensembling
Generalized Negative Correlation Learning for Deep Ensembling
Sebastian Buschjäger
Lukas Pfahler
K. Morik
FedMLBDLUQCV
79
17
0
05 Nov 2020
An SMT-Based Approach for Verifying Binarized Neural Networks
An SMT-Based Approach for Verifying Binarized Neural Networks
Guy Amir
Haoze Wu
Clark W. Barrett
Guy Katz
75
60
0
05 Nov 2020
Binary Neural Network Aided CSI Feedback in Massive MIMO System
Binary Neural Network Aided CSI Feedback in Massive MIMO System
Zhilin Lu
Jintao Wang
Jian Song
36
32
0
05 Nov 2020
Analytical aspects of non-differentiable neural networks
Analytical aspects of non-differentiable neural networks
G. P. Leonardi
Matteo Spallanzani
51
1
0
03 Nov 2020
Sparsity-Control Ternary Weight Networks
Sparsity-Control Ternary Weight Networks
Xiang Deng
Zhongfei Zhang
MQ
71
8
0
01 Nov 2020
Methods for Pruning Deep Neural Networks
Methods for Pruning Deep Neural Networks
S. Vadera
Salem Ameen
3DPC
82
131
0
31 Oct 2020
A Greedy Algorithm for Quantizing Neural Networks
A Greedy Algorithm for Quantizing Neural Networks
Eric Lybrand
Rayan Saab
MQ
91
28
0
29 Oct 2020
Permute, Quantize, and Fine-tune: Efficient Compression of Neural
  Networks
Permute, Quantize, and Fine-tune: Efficient Compression of Neural Networks
Julieta Martinez
Jashan Shewakramani
Ting Liu
Ioan Andrei Bârsan
Wenyuan Zeng
R. Urtasun
MQ
96
31
0
29 Oct 2020
Model Rubik's Cube: Twisting Resolution, Depth and Width for TinyNets
Model Rubik's Cube: Twisting Resolution, Depth and Width for TinyNets
Kai Han
Yunhe Wang
Qiulin Zhang
Wei Zhang
Chunjing Xu
Tong Zhang
96
89
0
28 Oct 2020
A Statistical Framework for Low-bitwidth Training of Deep Neural
  Networks
A Statistical Framework for Low-bitwidth Training of Deep Neural Networks
Jianfei Chen
Yujie Gai
Z. Yao
Michael W. Mahoney
Joseph E. Gonzalez
MQ
78
59
0
27 Oct 2020
Real-Time Edge Classification: Optimal Offloading under Token Bucket
  Constraints
Real-Time Edge Classification: Optimal Offloading under Token Bucket Constraints
Ayan Chakrabarti
Roch Guérin
Chenyang Lu
Jiangnan Liu
57
16
0
26 Oct 2020
Reducing the Computational Cost of Deep Generative Models with Binary
  Neural Networks
Reducing the Computational Cost of Deep Generative Models with Binary Neural Networks
Thomas Bird
F. Kingma
David Barber
SyDaMQAI4CE
152
9
0
26 Oct 2020
A Distributed Training Algorithm of Generative Adversarial Networks with
  Quantized Gradients
A Distributed Training Algorithm of Generative Adversarial Networks with Quantized Gradients
Xiaojun Chen
Shu Yang
Liyan Shen
Xuanrong Pang
53
4
0
26 Oct 2020
ExPAN(N)D: Exploring Posits for Efficient Artificial Neural Network
  Design in FPGA-based Systems
ExPAN(N)D: Exploring Posits for Efficient Artificial Neural Network Design in FPGA-based Systems
S. Nambi
Salim Ullah
Aditya Lohana
Siva Satyendra Sahoo
Farhad Merchant
Akash Kumar
73
11
0
24 Oct 2020
Not Half Bad: Exploring Half-Precision in Graph Convolutional Neural
  Networks
Not Half Bad: Exploring Half-Precision in Graph Convolutional Neural Networks
John Brennan
Stephen Bonner
Amir Atapour-Abarghouei
Philip T. G. Jackson
B. Obara
A. Mcgough
GNN
58
3
0
23 Oct 2020
On Resource-Efficient Bayesian Network Classifiers and Deep Neural
  Networks
On Resource-Efficient Bayesian Network Classifiers and Deep Neural Networks
Wolfgang Roth
Günther Schindler
Holger Fröning
Franz Pernkopf
BDLMQ
35
0
0
22 Oct 2020
ApproxDet: Content and Contention-Aware Approximate Object Detection for
  Mobiles
ApproxDet: Content and Contention-Aware Approximate Object Detection for Mobiles
Ran Xu
Chen-Da Liu-Zhang
Pengcheng Wang
Jayoung Lee
Subrata Mitra
Somali Chaterji
Yin Li
S. Bagchi
74
61
0
21 Oct 2020
Robustness-aware 2-bit quantization with real-time performance for
  neural network
Robustness-aware 2-bit quantization with real-time performance for neural network
Xiaobin Li
Hongxu Jiang
Shuangxi Huang
Fangzheng Tian
MQ
61
1
0
19 Oct 2020
Learning by Competition of Self-Interested Reinforcement Learning Agents
Learning by Competition of Self-Interested Reinforcement Learning Agents
Stephen Chung
92
5
0
19 Oct 2020
FTBNN: Rethinking Non-linearity for 1-bit CNNs and Going Beyond
FTBNN: Rethinking Non-linearity for 1-bit CNNs and Going Beyond
Z. Su
Linpu Fang
Deke Guo
Duwen Hu
M. Pietikäinen
Li Liu
MQ
81
3
0
19 Oct 2020
EqSpike: Spike-driven Equilibrium Propagation for Neuromorphic
  Implementations
EqSpike: Spike-driven Equilibrium Propagation for Neuromorphic Implementations
Erwann Martin
M. Ernoult
Jérémie Laydevant
Shuai-shuai Li
D. Querlioz
Teodora Petrisor
Julie Grollier
88
52
0
15 Oct 2020
Bi-GCN: Binary Graph Convolutional Network
Bi-GCN: Binary Graph Convolutional Network
Junfu Wang
Yunhong Wang
Zhen Yang
Liang Yang
Yuanfang Guo
GNN
70
58
0
15 Oct 2020
Towards Accurate Quantization and Pruning via Data-free Knowledge
  Transfer
Towards Accurate Quantization and Pruning via Data-free Knowledge Transfer
Chen Zhu
Zheng Xu
Ali Shafahi
Manli Shu
Amin Ghiasi
Tom Goldstein
MQ
71
3
0
14 Oct 2020
A Very Compact Embedded CNN Processor Design Based on Logarithmic
  Computing
A Very Compact Embedded CNN Processor Design Based on Logarithmic Computing
Tsung-Ying Lu
Hsu-Hsun Chin
Hsin-I Wu
R. Tsay
MQ
58
2
0
13 Oct 2020
Coarse and fine-grained automatic cropping deep convolutional neural
  network
Coarse and fine-grained automatic cropping deep convolutional neural network
Jingfei Chang
45
0
0
13 Oct 2020
BiPointNet: Binary Neural Network for Point Clouds
BiPointNet: Binary Neural Network for Point Clouds
Haotong Qin
Zhongang Cai
Mingyuan Zhang
Yifu Ding
Haiyu Zhao
Shuai Yi
Xianglong Liu
Hao Su
3DPC
116
50
0
12 Oct 2020
Glance and Focus: a Dynamic Approach to Reducing Spatial Redundancy in
  Image Classification
Glance and Focus: a Dynamic Approach to Reducing Spatial Redundancy in Image Classification
Yulin Wang
Kangchen Lv
Rui Huang
Shiji Song
Le Yang
Gao Huang
3DH
75
151
0
11 Oct 2020
Maximin Optimization for Binary Regression
Maximin Optimization for Binary Regression
Nisan Chiprut
Amir Globerson
A. Wiesel
MQ
49
0
0
10 Oct 2020
Training Binary Neural Networks through Learning with Noisy Supervision
Training Binary Neural Networks through Learning with Noisy Supervision
Kai Han
Yunhe Wang
Yixing Xu
Chunjing Xu
Enhua Wu
Chang Xu
MQ
66
57
0
10 Oct 2020
Be Your Own Best Competitor! Multi-Branched Adversarial Knowledge
  Transfer
Be Your Own Best Competitor! Multi-Branched Adversarial Knowledge Transfer
Mahdi Ghorbani
Fahimeh Fooladgar
S. Kasaei
AAML
55
0
0
09 Oct 2020
High-Capacity Expert Binary Networks
High-Capacity Expert Binary Networks
Adrian Bulat
Brais Martínez
Georgios Tzimiropoulos
MQ
98
59
0
07 Oct 2020
Compressing Deep Convolutional Neural Networks by Stacking
  Low-dimensional Binary Convolution Filters
Compressing Deep Convolutional Neural Networks by Stacking Low-dimensional Binary Convolution Filters
Weichao Lan
Liang Lan
MQ
61
8
0
06 Oct 2020
Memory and Computation-Efficient Kernel SVM via Binary Embedding and
  Ternary Model Coefficients
Memory and Computation-Efficient Kernel SVM via Binary Embedding and Ternary Model Coefficients
Zijian Lei
Liang Lan
MQ
34
1
0
06 Oct 2020
Joint Pruning & Quantization for Extremely Sparse Neural Networks
Joint Pruning & Quantization for Extremely Sparse Neural Networks
Po-Hsiang Yu
Sih-Sian Wu
Jan P. Klopp
Liang-Gee Chen
Shao-Yi Chien
MQ
92
16
0
05 Oct 2020
AE-Netv2: Optimization of Image Fusion Efficiency and Network
  Architecture
AE-Netv2: Optimization of Image Fusion Efficiency and Network Architecture
Aiqing Fang
Xinbo Zhao
Jiaqi Yang
Beibei Qin
Yanning Zhang
52
0
0
05 Oct 2020
UCP: Uniform Channel Pruning for Deep Convolutional Neural Networks
  Compression and Acceleration
UCP: Uniform Channel Pruning for Deep Convolutional Neural Networks Compression and Acceleration
Jingfei Chang
Yang Lu
Ping Xue
Xing Wei
Zhen Wei
50
2
0
03 Oct 2020
GECKO: Reconciling Privacy, Accuracy and Efficiency in Embedded Deep
  Learning
GECKO: Reconciling Privacy, Accuracy and Efficiency in Embedded Deep Learning
Vasisht Duddu
A. Boutet
Virat Shejwalkar
GNN
76
4
0
02 Oct 2020
Online Knowledge Distillation via Multi-branch Diversity Enhancement
Online Knowledge Distillation via Multi-branch Diversity Enhancement
Zheng Li
Ying Huang
Defang Chen
Tianren Luo
Ning Cai
Zhigeng Pan
78
28
0
02 Oct 2020
Binary Neural Networks for Memory-Efficient and Effective Visual Place
  Recognition in Changing Environments
Binary Neural Networks for Memory-Efficient and Effective Visual Place Recognition in Changing Environments
Bruno Ferrarini
Michael Milford
Klaus D. McDonald-Maier
Shoaib Ehsan
MQ
57
25
0
01 Oct 2020
BCNN: A Binary CNN with All Matrix Ops Quantized to 1 Bit Precision
BCNN: A Binary CNN with All Matrix Ops Quantized to 1 Bit Precision
A. Redfern
Lijun Zhu
Molly K. Newquist
MQ
187
12
0
01 Oct 2020
Stochastic Precision Ensemble: Self-Knowledge Distillation for Quantized
  Deep Neural Networks
Stochastic Precision Ensemble: Self-Knowledge Distillation for Quantized Deep Neural Networks
Yoonho Boo
Sungho Shin
Jungwook Choi
Wonyong Sung
MQ
83
30
0
30 Sep 2020
Self-grouping Convolutional Neural Networks
Self-grouping Convolutional Neural Networks
Qingbei Guo
Xiaojun Wu
J. Kittler
Zhiquan Feng
64
22
0
29 Sep 2020
BAMSProd: A Step towards Generalizing the Adaptive Optimization Methods
  to Deep Binary Model
BAMSProd: A Step towards Generalizing the Adaptive Optimization Methods to Deep Binary Model
Junjie Liu
Dongchao Wen
Deyu Wang
Wei Tao
Tse-Wei Chen
Kinya Osa
Masami Kato
MQ
61
1
0
29 Sep 2020
Grow-Push-Prune: aligning deep discriminants for effective structural
  network compression
Grow-Push-Prune: aligning deep discriminants for effective structural network compression
Qing Tian
Tal Arbel
James J. Clark
48
8
0
29 Sep 2020
NITI: Training Integer Neural Networks Using Integer-only Arithmetic
NITI: Training Integer Neural Networks Using Integer-only Arithmetic
Maolin Wang
Seyedramin Rasoulinezhad
Philip H. W. Leong
Hayden Kwok-Hay So
MQ
61
41
0
28 Sep 2020
Rotated Binary Neural Network
Rotated Binary Neural Network
Mingbao Lin
Rongrong Ji
Zi-Han Xu
Baochang Zhang
Yan Wang
Yongjian Wu
Feiyue Huang
Chia-Wen Lin
MQ
126
133
0
28 Sep 2020
Kernel Based Progressive Distillation for Adder Neural Networks
Kernel Based Progressive Distillation for Adder Neural Networks
Yixing Xu
Chang Xu
Xinghao Chen
Wei Zhang
Chunjing Xu
Yunhe Wang
96
47
0
28 Sep 2020
On Efficient Constructions of Checkpoints
On Efficient Constructions of Checkpoints
Yu Chen
Zhenming Liu
Bin Ren
Xin Jin
OffRL
69
15
0
28 Sep 2020
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