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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
Adaptive Inference through Early-Exit Networks: Design, Challenges and
  Directions
Adaptive Inference through Early-Exit Networks: Design, Challenges and Directions
Stefanos Laskaridis
Alexandros Kouris
Nicholas D. Lane
TPM
120
122
0
09 Jun 2021
Dynamic Resolution Network
Dynamic Resolution Network
Mingjian Zhu
Kai Han
Enhua Wu
Qiulin Zhang
Ying Nie
Zhenzhong Lan
Yunhe Wang
OOD
108
52
0
05 Jun 2021
Patch Slimming for Efficient Vision Transformers
Patch Slimming for Efficient Vision Transformers
Yehui Tang
Kai Han
Yunhe Wang
Chang Xu
Jianyuan Guo
Chao Xu
Dacheng Tao
ViT
126
168
0
05 Jun 2021
Multiplierless MP-Kernel Machine For Energy-efficient Edge Devices
Multiplierless MP-Kernel Machine For Energy-efficient Edge Devices
Abhishek Ramdas Nair
P. Nath
S. Chakrabartty
Chetan Singh Thakur
132
15
0
03 Jun 2021
LLC: Accurate, Multi-purpose Learnt Low-dimensional Binary Codes
LLC: Accurate, Multi-purpose Learnt Low-dimensional Binary Codes
Aditya Kusupati
Matthew Wallingford
Vivek Ramanujan
Raghav Somani
J. S. Park
Krishna Pillutla
Prateek Jain
Sham Kakade
Ali Farhadi
MQOffRL
160
9
0
02 Jun 2021
Universal Adder Neural Networks
Universal Adder Neural Networks
Hanting Chen
Yunhe Wang
Chang Xu
Chao Xu
Chunjing Xu
Tong Zhang
93
3
0
29 May 2021
Integer-Only Neural Network Quantization Scheme Based on
  Shift-Batch-Normalization
Integer-Only Neural Network Quantization Scheme Based on Shift-Batch-Normalization
Qingyu Guo
Yuan Wang
Xiaoxin Cui
MQ
39
2
0
28 May 2021
Pruning and Slicing Neural Networks using Formal Verification
Pruning and Slicing Neural Networks using Formal Verification
O. Lahav
Guy Katz
89
20
0
28 May 2021
Quantization and Deployment of Deep Neural Networks on Microcontrollers
Quantization and Deployment of Deep Neural Networks on Microcontrollers
Pierre-Emmanuel Novac
G. B. Hacene
Alain Pegatoquet
Benoit Miramond
Vincent Gripon
MQ
70
125
0
27 May 2021
Towards Efficient Full 8-bit Integer DNN Online Training on
  Resource-limited Devices without Batch Normalization
Towards Efficient Full 8-bit Integer DNN Online Training on Resource-limited Devices without Batch Normalization
Yukuan Yang
Xiaowei Chi
Lei Deng
Tianyi Yan
Feng Gao
Guoqi Li
MQ
79
6
0
27 May 2021
SIMDRAM: An End-to-End Framework for Bit-Serial SIMD Computing in DRAM
SIMDRAM: An End-to-End Framework for Bit-Serial SIMD Computing in DRAM
Nastaran Hajinazar
Geraldo F. Oliveira
Sven Gregorio
João Dinis Ferreira
Nika Mansouri-Ghiasi
Minesh Patel
M. Alser
Saugata Ghose
Juan Gómez Luna
O. Mutlu
53
18
0
26 May 2021
DTNN: Energy-efficient Inference with Dendrite Tree Inspired Neural
  Networks for Edge Vision Applications
DTNN: Energy-efficient Inference with Dendrite Tree Inspired Neural Networks for Edge Vision Applications
Yaoyu Zhang
Wai Teng Tang
Matthew Kay Fei Lee
Chuping Qu
Weng-Fai Wong
Rick Siow Mong Goh
74
0
0
25 May 2021
An In-Memory Analog Computing Co-Processor for Energy-Efficient CNN
  Inference on Mobile Devices
An In-Memory Analog Computing Co-Processor for Energy-Efficient CNN Inference on Mobile Devices
Mohammed E. Elbtity
Abhishek Singh
Brendan Reidy
Xiaochen Guo
Ramtin Zand
51
20
0
24 May 2021
Content-adaptive Representation Learning for Fast Image Super-resolution
Content-adaptive Representation Learning for Fast Image Super-resolution
Yukai Shi
Jinghui Qin
SupR
104
0
0
20 May 2021
Single-Layer Vision Transformers for More Accurate Early Exits with Less
  Overhead
Single-Layer Vision Transformers for More Accurate Early Exits with Less Overhead
Arian Bakhtiarnia
Qi Zhang
Alexandros Iosifidis
73
35
0
19 May 2021
Is In-Domain Data Really Needed? A Pilot Study on Cross-Domain
  Calibration for Network Quantization
Is In-Domain Data Really Needed? A Pilot Study on Cross-Domain Calibration for Network Quantization
Haichao Yu
Linjie Yang
Humphrey Shi
OODMQ
65
6
0
16 May 2021
Lightweight Compression of Intermediate Neural Network Features for
  Collaborative Intelligence
Lightweight Compression of Intermediate Neural Network Features for Collaborative Intelligence
R. Cohen
Hyomin Choi
Ivan V. Bajić
58
24
0
15 May 2021
Quantized Proximal Averaging Network for Analysis Sparse Coding
Quantized Proximal Averaging Network for Analysis Sparse Coding
Kartheek Kumar Reddy Nareddy
Mani Madhoolika Bulusu
P. Pokala
C. Seelamantula
MQ
81
1
0
13 May 2021
Lightweight compression of neural network feature tensors for
  collaborative intelligence
Lightweight compression of neural network feature tensors for collaborative intelligence
R. Cohen
Hyomin Choi
Ivan V. Bajić
62
44
0
12 May 2021
Winograd Algorithm for AdderNet
Winograd Algorithm for AdderNet
Wenshuo Li
Hanting Chen
Mingqiang Huang
Xinghao Chen
Chunjing Xu
Yunhe Wang
79
8
0
12 May 2021
Binarized Weight Error Networks With a Transition Regularization Term
Binarized Weight Error Networks With a Transition Regularization Term
Savas Ozkan
G. Akar
MQ
51
1
0
09 May 2021
RBNN: Memory-Efficient Reconfigurable Deep Binary Neural Network with IP
  Protection for Internet of Things
RBNN: Memory-Efficient Reconfigurable Deep Binary Neural Network with IP Protection for Internet of Things
Huming Qiu
Hua Ma
Zhi-Li Zhang
Yifeng Zheng
Anmin Fu
Pan Zhou
Yansong Gao
Derek Abbott
S. Al-Sarawi
MQ
94
10
0
09 May 2021
Encoding Weights of Irregular Sparsity for Fixed-to-Fixed Model
  Compression
Encoding Weights of Irregular Sparsity for Fixed-to-Fixed Model Compression
Baeseong Park
S. Kwon
Daehwan Oh
Byeongwook Kim
Dongsoo Lee
75
4
0
05 May 2021
The Synergy of Complex Event Processing and Tiny Machine Learning in
  Industrial IoT
The Synergy of Complex Event Processing and Tiny Machine Learning in Industrial IoT
Haoyu Ren
Darko Anicic
Thomas Runkler
46
27
0
04 May 2021
Binarized Aggregated Network with Quantization: Flexible Deep Learning
  Deployment for CSI Feedback in Massive MIMO System
Binarized Aggregated Network with Quantization: Flexible Deep Learning Deployment for CSI Feedback in Massive MIMO System
Zhilin Lu
Xudong Zhang
Hongyi He
Jintao Wang
Jian Song
MQ
68
40
0
01 May 2021
Condensation-Net: Memory-Efficient Network Architecture with
  Cross-Channel Pooling Layers and Virtual Feature Maps
Condensation-Net: Memory-Efficient Network Architecture with Cross-Channel Pooling Layers and Virtual Feature Maps
Tse-Wei Chen
Motoki Yoshinaga
Hongxing Gao
Wei Tao
Dongchao Wen
Junjie Liu
Kinya Osa
Masami Kato
47
8
0
29 Apr 2021
Quantization of Deep Neural Networks for Accurate Edge Computing
Quantization of Deep Neural Networks for Accurate Edge Computing
Wentao Chen
Hailong Qiu
Zhuang Jian
Chutong Zhang
Yu Hu
Qing Lu
Tianchen Wang
Yiyu Shi
Meiping Huang
Xiaowe Xu
106
24
0
25 Apr 2021
Improving the Accuracy of Early Exits in Multi-Exit Architectures via
  Curriculum Learning
Improving the Accuracy of Early Exits in Multi-Exit Architectures via Curriculum Learning
Arian Bakhtiarnia
Qi Zhang
Alexandros Iosifidis
111
13
0
21 Apr 2021
Differentiable Model Compression via Pseudo Quantization Noise
Differentiable Model Compression via Pseudo Quantization Noise
Alexandre Défossez
Yossi Adi
Gabriel Synnaeve
DiffMMQ
96
50
0
20 Apr 2021
Vision Transformer Pruning
Vision Transformer Pruning
Mingjian Zhu
Yehui Tang
Kai Han
ViT
99
92
0
17 Apr 2021
Random and Adversarial Bit Error Robustness: Energy-Efficient and Secure
  DNN Accelerators
Random and Adversarial Bit Error Robustness: Energy-Efficient and Secure DNN Accelerators
David Stutz
Nandhini Chandramoorthy
Matthias Hein
Bernt Schiele
AAMLMQ
80
18
0
16 Apr 2021
"BNN - BN = ?": Training Binary Neural Networks without Batch
  Normalization
"BNN - BN = ?": Training Binary Neural Networks without Batch Normalization
Tianlong Chen
Zhenyu Zhang
Xu Ouyang
Zechun Liu
Zhiqiang Shen
Zhangyang Wang
MQ
109
37
0
16 Apr 2021
AsymmNet: Towards ultralight convolution neural networks using
  asymmetrical bottlenecks
AsymmNet: Towards ultralight convolution neural networks using asymmetrical bottlenecks
Haojin Yang
Zhengdi Shen
Yucheng Zhao
74
10
0
15 Apr 2021
Fast Walsh-Hadamard Transform and Smooth-Thresholding Based Binary
  Layers in Deep Neural Networks
Fast Walsh-Hadamard Transform and Smooth-Thresholding Based Binary Layers in Deep Neural Networks
Hongyi Pan
Diaa Badawi
Ahmet Enis Cetin
98
21
0
14 Apr 2021
ENOS: Energy-Aware Network Operator Search for Hybrid Digital and
  Compute-in-Memory DNN Accelerators
ENOS: Energy-Aware Network Operator Search for Hybrid Digital and Compute-in-Memory DNN Accelerators
Shamma Nasrin
A. Shylendra
Yuti Kadakia
N. Iliev
Wilfred Gomes
Theja Tulabandhula
A. R. Trivedi
MQ
55
2
0
12 Apr 2021
A Bop and Beyond: A Second Order Optimizer for Binarized Neural Networks
A Bop and Beyond: A Second Order Optimizer for Binarized Neural Networks
C. Suarez-Ramirez
M. González-Mendoza
Leonardo Chang-Fernández
Gilberto Ochoa-Ruiz
M. Duran-Vega
MQ
55
8
0
11 Apr 2021
Creating Robust Deep Neural Networks With Coded Distributed Computing
  for IoT Systems
Creating Robust Deep Neural Networks With Coded Distributed Computing for IoT Systems
Ramyad Hadidi
Jiashen Cao
Hyesoon Kim
38
0
0
09 Apr 2021
NullaNet Tiny: Ultra-low-latency DNN Inference Through Fixed-function
  Combinational Logic
NullaNet Tiny: Ultra-low-latency DNN Inference Through Fixed-function Combinational Logic
M. Nazemi
A. Fayyazi
Amirhossein Esmaili
Atharva Khare
Soheil Nazar Shahsavani
Massoud Pedram
40
13
0
07 Apr 2021
Binary Neural Network for Speaker Verification
Binary Neural Network for Speaker Verification
Tinglong Zhu
Xiaoyi Qin
Ming Li
MQ
56
12
0
06 Apr 2021
Content-Aware GAN Compression
Content-Aware GAN Compression
Yuchen Liu
Zhixin Shu
Yijun Li
Zhe Lin
Federico Perazzi
S. Kung
GAN
73
59
0
06 Apr 2021
A Configurable BNN ASIC using a Network of Programmable Threshold Logic
  Standard Cells
A Configurable BNN ASIC using a Network of Programmable Threshold Logic Standard Cells
Ankit Wagle
S. Khatri
S. Vrudhula
43
8
0
04 Apr 2021
Faster Convolution Inference Through Using Pre-Calculated Lookup Tables
Faster Convolution Inference Through Using Pre-Calculated Lookup Tables
Grigor Gatchev
V. Mollov
VLM
46
0
0
04 Apr 2021
Network Quantization with Element-wise Gradient Scaling
Network Quantization with Element-wise Gradient Scaling
Junghyup Lee
Dohyung Kim
Bumsub Ham
MQ
94
120
0
02 Apr 2021
Anytime Dense Prediction with Confidence Adaptivity
Anytime Dense Prediction with Confidence Adaptivity
Zhuang Liu
Zhiqiu Xu
H. Wang
Trevor Darrell
Evan Shelhamer
76
20
0
01 Apr 2021
Is Label Smoothing Truly Incompatible with Knowledge Distillation: An
  Empirical Study
Is Label Smoothing Truly Incompatible with Knowledge Distillation: An Empirical Study
Zhiqiang Shen
Zechun Liu
Dejia Xu
Zitian Chen
Kwang-Ting Cheng
Marios Savvides
92
76
0
01 Apr 2021
Training Multi-bit Quantized and Binarized Networks with A Learnable
  Symmetric Quantizer
Training Multi-bit Quantized and Binarized Networks with A Learnable Symmetric Quantizer
Phuoc Pham
J. Abraham
Jaeyong Chung
MQ
81
13
0
01 Apr 2021
Bit-Mixer: Mixed-precision networks with runtime bit-width selection
Bit-Mixer: Mixed-precision networks with runtime bit-width selection
Adrian Bulat
Georgios Tzimiropoulos
MQ
77
27
0
31 Mar 2021
Charged particle tracking via edge-classifying interaction networks
Charged particle tracking via edge-classifying interaction networks
G. Dezoort
S. Thais
Javier Mauricio Duarte
Vesal Razavimaleki
M. Atkinson
I. Ojalvo
Mark S. Neubauer
P. Elmer
95
49
0
30 Mar 2021
Slimmable Compressive Autoencoders for Practical Neural Image
  Compression
Slimmable Compressive Autoencoders for Practical Neural Image Compression
Feiyu Yang
Luis Herranz
Yongmei Cheng
M. Mozerov
71
66
0
29 Mar 2021
BCNN: Binary Complex Neural Network
BCNN: Binary Complex Neural Network
Yanfei Li
Tong Geng
Ang Li
Huimin Yu
MQ
59
8
0
28 Mar 2021
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