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FracBNN: Accurate and FPGA-Efficient Binary Neural Networks with
  Fractional Activations

FracBNN: Accurate and FPGA-Efficient Binary Neural Networks with Fractional Activations

22 December 2020
Yichi Zhang
Junhao Pan
Xinheng Liu
Hongzheng Chen
Deming Chen
Zhiru Zhang
    MQ
ArXivPDFHTML

Papers citing "FracBNN: Accurate and FPGA-Efficient Binary Neural Networks with Fractional Activations"

35 / 35 papers shown
Title
COBRA: Algorithm-Architecture Co-optimized Binary Transformer Accelerator for Edge Inference
COBRA: Algorithm-Architecture Co-optimized Binary Transformer Accelerator for Edge Inference
Ye Qiao
Zhiheng Cheng
Yian Wang
Yifan Zhang
Yunzhe Deng
Sitao Huang
127
0
0
22 Apr 2025
VecQ: Minimal Loss DNN Model Compression With Vectorized Weight
  Quantization
VecQ: Minimal Loss DNN Model Compression With Vectorized Weight Quantization
Cheng Gong
Yao Chen
Ye Lu
Tao Li
Cong Hao
Deming Chen
MQ
24
44
0
18 May 2020
Binary Neural Networks: A Survey
Binary Neural Networks: A Survey
Haotong Qin
Ruihao Gong
Xianglong Liu
Xiao Bai
Jingkuan Song
N. Sebe
MQ
83
463
0
31 Mar 2020
Training Binary Neural Networks with Real-to-Binary Convolutions
Training Binary Neural Networks with Real-to-Binary Convolutions
Brais Martínez
Jing Yang
Adrian Bulat
Georgios Tzimiropoulos
MQ
34
227
0
25 Mar 2020
ReActNet: Towards Precise Binary Neural Network with Generalized
  Activation Functions
ReActNet: Towards Precise Binary Neural Network with Generalized Activation Functions
Zechun Liu
Zhiqiang Shen
Marios Savvides
Kwang-Ting Cheng
MQ
70
350
0
07 Mar 2020
Precision Gating: Improving Neural Network Efficiency with Dynamic
  Dual-Precision Activations
Precision Gating: Improving Neural Network Efficiency with Dynamic Dual-Precision Activations
Yichi Zhang
Ritchie Zhao
Weizhe Hua
N. Xu
G. E. Suh
Zhiru Zhang
MQ
98
27
0
17 Feb 2020
MeliusNet: Can Binary Neural Networks Achieve MobileNet-level Accuracy?
MeliusNet: Can Binary Neural Networks Achieve MobileNet-level Accuracy?
Joseph Bethge
Christian Bartz
Haojin Yang
Ying-Cong Chen
Christoph Meinel
MQ
35
91
0
16 Jan 2020
PyTorch: An Imperative Style, High-Performance Deep Learning Library
PyTorch: An Imperative Style, High-Performance Deep Learning Library
Adam Paszke
Sam Gross
Francisco Massa
Adam Lerer
James Bradbury
...
Sasank Chilamkurthy
Benoit Steiner
Lu Fang
Junjie Bai
Soumith Chintala
ODL
211
42,038
0
03 Dec 2019
Forward and Backward Information Retention for Accurate Binary Neural
  Networks
Forward and Backward Information Retention for Accurate Binary Neural Networks
Haotong Qin
Ruihao Gong
Xianglong Liu
Mingzhu Shen
Ziran Wei
F. Yu
Jingkuan Song
MQ
153
325
0
24 Sep 2019
Differentiable Soft Quantization: Bridging Full-Precision and Low-Bit
  Neural Networks
Differentiable Soft Quantization: Bridging Full-Precision and Low-Bit Neural Networks
Ruihao Gong
Xianglong Liu
Shenghu Jiang
Tian-Hao Li
Peng Hu
Jiazhen Lin
F. Yu
Junjie Yan
MQ
51
449
0
14 Aug 2019
Improved training of binary networks for human pose estimation and image
  recognition
Improved training of binary networks for human pose estimation and image recognition
Adrian Bulat
Georgios Tzimiropoulos
Jean Kossaifi
Maja Pantic
MQ
36
47
0
11 Apr 2019
FPGA/DNN Co-Design: An Efficient Design Methodology for IoT Intelligence
  on the Edge
FPGA/DNN Co-Design: An Efficient Design Methodology for IoT Intelligence on the Edge
Cong Hao
Xiaofan Zhang
Yuhong Li
Sitao Huang
Jinjun Xiong
K. Rupnow
Wen-mei W. Hwu
Deming Chen
52
173
0
09 Apr 2019
LUTNet: Rethinking Inference in FPGA Soft Logic
LUTNet: Rethinking Inference in FPGA Soft Logic
Erwei Wang
James J. Davis
P. Cheung
George A. Constantinides
31
62
0
01 Apr 2019
Improving Neural Network Quantization without Retraining using Outlier
  Channel Splitting
Improving Neural Network Quantization without Retraining using Outlier Channel Splitting
Ritchie Zhao
Yuwei Hu
Jordan Dotzel
Christopher De Sa
Zhiru Zhang
OODD
MQ
67
306
0
28 Jan 2019
Binary Input Layer: Training of CNN models with binary input data
Binary Input Layer: Training of CNN models with binary input data
Robert Durichen
Thomas Rocznik
Oliver Renz
Christian Peters
MQ
10
7
0
09 Dec 2018
Synetgy: Algorithm-hardware Co-design for ConvNet Accelerators on
  Embedded FPGAs
Synetgy: Algorithm-hardware Co-design for ConvNet Accelerators on Embedded FPGAs
Yifan Yang
Qijing Huang
Bichen Wu
Tianjun Zhang
Liang Ma
...
Michaela Blott
Sebastiano Fabio Schifano
K. Vissers
J. Wawrzynek
Kurt Keutzer
43
117
0
21 Nov 2018
Bi-Real Net: Enhancing the Performance of 1-bit CNNs With Improved
  Representational Capability and Advanced Training Algorithm
Bi-Real Net: Enhancing the Performance of 1-bit CNNs With Improved Representational Capability and Advanced Training Algorithm
Zechun Liu
Baoyuan Wu
Wenhan Luo
Xin Yang
Wen Liu
K. Cheng
MQ
64
551
0
01 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
36
93
0
31 Jul 2018
ShuffleNet V2: Practical Guidelines for Efficient CNN Architecture
  Design
ShuffleNet V2: Practical Guidelines for Efficient CNN Architecture Design
Ningning Ma
Xiangyu Zhang
Haitao Zheng
Jian Sun
125
4,957
0
30 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
47
136
0
20 Jun 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
38
945
0
16 May 2018
MobileNetV2: Inverted Residuals and Linear Bottlenecks
MobileNetV2: Inverted Residuals and Linear Bottlenecks
Mark Sandler
Andrew G. Howard
Menglong Zhu
A. Zhmoginov
Liang-Chieh Chen
129
19,124
0
13 Jan 2018
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
50
232
0
01 Nov 2017
ShuffleNet: An Extremely Efficient Convolutional Neural Network for
  Mobile Devices
ShuffleNet: An Extremely Efficient Convolutional Neural Network for Mobile Devices
Xiangyu Zhang
Xinyu Zhou
Mengxiao Lin
Jian Sun
AI4TS
110
6,830
0
04 Jul 2017
The High-Dimensional Geometry of Binary Neural Networks
The High-Dimensional Geometry of Binary Neural Networks
Alexander G. Anderson
C. P. Berg
MQ
48
75
0
19 May 2017
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision
  Applications
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications
Andrew G. Howard
Menglong Zhu
Bo Chen
Dmitry Kalenichenko
Weijun Wang
Tobias Weyand
M. Andreetto
Hartwig Adam
3DH
1.0K
20,692
0
17 Apr 2017
FINN: A Framework for Fast, Scalable Binarized Neural Network Inference
FINN: A Framework for Fast, Scalable Binarized Neural Network Inference
Yaman Umuroglu
Nicholas J. Fraser
Giulio Gambardella
Michaela Blott
Philip H. W. Leong
Magnus Jahre
K. Vissers
MQ
77
988
0
01 Dec 2016
DoReFa-Net: Training Low Bitwidth Convolutional Neural Networks with Low
  Bitwidth Gradients
DoReFa-Net: Training Low Bitwidth Convolutional Neural Networks with Low Bitwidth Gradients
Shuchang Zhou
Yuxin Wu
Zekun Ni
Xinyu Zhou
He Wen
Yuheng Zou
MQ
95
2,080
0
20 Jun 2016
XNOR-Net: ImageNet Classification Using Binary Convolutional Neural
  Networks
XNOR-Net: ImageNet Classification Using Binary Convolutional Neural Networks
Mohammad Rastegari
Vicente Ordonez
Joseph Redmon
Ali Farhadi
MQ
129
4,342
0
16 Mar 2016
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
1.2K
192,638
0
10 Dec 2015
Fixed Point Quantization of Deep Convolutional Networks
Fixed Point Quantization of Deep Convolutional Networks
D. Lin
S. Talathi
V. Annapureddy
MQ
71
814
0
19 Nov 2015
Training Binary Multilayer Neural Networks for Image Classification
  using Expectation Backpropagation
Training Binary Multilayer Neural Networks for Image Classification using Expectation Backpropagation
Zhiyong Cheng
Daniel Soudry
Zexi Mao
Zhenzhong Lan
MQ
32
52
0
12 Mar 2015
Batch Normalization: Accelerating Deep Network Training by Reducing
  Internal Covariate Shift
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift
Sergey Ioffe
Christian Szegedy
OOD
271
43,154
0
11 Feb 2015
Delving Deep into Rectifiers: Surpassing Human-Level Performance on
  ImageNet Classification
Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
VLM
151
18,534
0
06 Feb 2015
Very Deep Convolutional Networks for Large-Scale Image Recognition
Very Deep Convolutional Networks for Large-Scale Image Recognition
Karen Simonyan
Andrew Zisserman
FAtt
MDE
778
99,991
0
04 Sep 2014
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