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AdaBin: Improving Binary Neural Networks with Adaptive Binary Sets

AdaBin: Improving Binary Neural Networks with Adaptive Binary Sets

17 August 2022
Zhaopeng Tu
Xinghao Chen
Pengju Ren
Yunhe Wang
    MQ
ArXivPDFHTML

Papers citing "AdaBin: Improving Binary Neural Networks with Adaptive Binary Sets"

42 / 42 papers shown
Title
Expanding-and-Shrinking Binary Neural Networks
Expanding-and-Shrinking Binary Neural Networks
Xulong Shi
Caiyi Sun
Zhi Qi
Liu Hao
Xiaodong Yang
MQ
178
0
0
31 Mar 2025
Leveraging Stable Diffusion for Monocular Depth Estimation via Image Semantic Encoding
Leveraging Stable Diffusion for Monocular Depth Estimation via Image Semantic Encoding
Jingming Xia
Guanqun Cao
Guang Ma
Yiben Luo
Qinzhao Li
John Oyekan
MDE
85
0
0
01 Feb 2025
ReCU: Reviving the Dead Weights in Binary Neural Networks
ReCU: Reviving the Dead Weights in Binary Neural Networks
Zihan Xu
Mingbao Lin
Jianzhuang Liu
Jie Chen
Ling Shao
Yue Gao
Yonghong Tian
Rongrong Ji
MQ
52
83
0
23 Mar 2021
Learning Frequency Domain Approximation for Binary Neural Networks
Learning Frequency Domain Approximation for Binary Neural Networks
Yixing Xu
Kai Han
Chang Xu
Yehui Tang
Chunjing Xu
Yunhe Wang
MQ
62
55
0
01 Mar 2021
SiMaN: Sign-to-Magnitude Network Binarization
SiMaN: Sign-to-Magnitude Network Binarization
Mingbao Lin
Rongrong Ji
Zi-Han Xu
Baochang Zhang
Chia-Wen Lin
Chia-Wen Lin
Ling Shao
AAML
MQ
44
26
0
16 Feb 2021
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
36
57
0
10 Oct 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
60
133
0
28 Sep 2020
Searching for Low-Bit Weights in Quantized Neural Networks
Searching for Low-Bit Weights in Quantized Neural Networks
Zhaohui Yang
Yunhe Wang
Kai Han
Chunjing Xu
Chao Xu
Dacheng Tao
Chang Xu
MQ
51
85
0
18 Sep 2020
MTP: Multi-Task Pruning for Efficient Semantic Segmentation Networks
MTP: Multi-Task Pruning for Efficient Semantic Segmentation Networks
Xinghao Chen
Yiman Zhang
Yunhe Wang
VLM
29
15
0
16 Jul 2020
Optical Flow Distillation: Towards Efficient and Stable Video Style
  Transfer
Optical Flow Distillation: Towards Efficient and Stable Video Style Transfer
Xinghao Chen
Yiman Zhang
Yunhe Wang
Han Shu
Chunjing Xu
Chang Xu
VGen
54
54
0
10 Jul 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
51
229
0
25 Mar 2020
BiDet: An Efficient Binarized Object Detector
BiDet: An Efficient Binarized Object Detector
Ziwei Wang
Ziyi Wu
Jiwen Lu
Jie Zhou
MQ
83
65
0
09 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
99
353
0
07 Mar 2020
AdderNet: Do We Really Need Multiplications in Deep Learning?
AdderNet: Do We Really Need Multiplications in Deep Learning?
Hanting Chen
Yunhe Wang
Chunjing Xu
Boxin Shi
Chao Xu
Qi Tian
Chang Xu
62
199
0
31 Dec 2019
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
408
42,393
0
03 Dec 2019
GhostNet: More Features from Cheap Operations
GhostNet: More Features from Cheap Operations
Kai Han
Yunhe Wang
Qi Tian
Jianyuan Guo
Chunjing Xu
Chang Xu
89
2,673
0
27 Nov 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
161
330
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
58
457
0
14 Aug 2019
Back to Simplicity: How to Train Accurate BNNs from Scratch?
Back to Simplicity: How to Train Accurate BNNs from Scratch?
Joseph Bethge
Haojin Yang
Marvin Bornstein
Christoph Meinel
AAML
MQ
52
58
0
19 Jun 2019
Regularizing Activation Distribution for Training Binarized Deep
  Networks
Regularizing Activation Distribution for Training Binarized Deep Networks
Ruizhou Ding
Ting-Wu Chin
Z. Liu
Diana Marculescu
MQ
63
149
0
04 Apr 2019
Low-bit Quantization of Neural Networks for Efficient Inference
Low-bit Quantization of Neural Networks for Efficient Inference
Yoni Choukroun
Eli Kravchik
Fan Yang
P. Kisilev
MQ
63
362
0
18 Feb 2019
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
81
555
0
01 Aug 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
48
45
0
29 Apr 2018
From Hashing to CNNs: Training BinaryWeight Networks via Hashing
From Hashing to CNNs: Training BinaryWeight Networks via Hashing
Qinghao Hu
Peisong Wang
Jian Cheng
MQ
62
98
0
08 Feb 2018
Towards Accurate Binary Convolutional Neural Network
Towards Accurate Binary Convolutional Neural Network
Xiaofan Lin
Cong Zhao
Wei Pan
MQ
77
644
0
30 Nov 2017
Performance Guaranteed Network Acceleration via High-Order Residual
  Quantization
Performance Guaranteed Network Acceleration via High-Order Residual Quantization
Zefan Li
Bingbing Ni
Wenjun Zhang
Xiaokang Yang
Wen Gao
MQ
60
107
0
29 Aug 2017
Learning Accurate Low-Bit Deep Neural Networks with Stochastic
  Quantization
Learning Accurate Low-Bit Deep Neural Networks with Stochastic Quantization
Yinpeng Dong
Renkun Ni
Jianguo Li
Yurong Chen
Jun Zhu
Hang Su
MQ
57
62
0
03 Aug 2017
The High-Dimensional Geometry of Binary Neural Networks
The High-Dimensional Geometry of Binary Neural Networks
Alexander G. Anderson
C. P. Berg
MQ
57
75
0
19 May 2017
Deep Learning with Low Precision by Half-wave Gaussian Quantization
Deep Learning with Low Precision by Half-wave Gaussian Quantization
Zhaowei Cai
Xiaodong He
Jian Sun
Nuno Vasconcelos
MQ
136
505
0
03 Feb 2017
Loss-aware Binarization of Deep Networks
Loss-aware Binarization of Deep Networks
Lu Hou
Quanming Yao
James T. Kwok
MQ
64
220
0
05 Nov 2016
Densely Connected Convolutional Networks
Densely Connected Convolutional Networks
Gao Huang
Zhuang Liu
Laurens van der Maaten
Kilian Q. Weinberger
PINN
3DV
735
36,781
0
25 Aug 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
112
2,085
0
20 Jun 2016
Ternary Weight Networks
Ternary Weight Networks
Fengfu Li
Bin Liu
Xiaoxing Wang
Bo Zhang
Junchi Yan
MQ
68
525
0
16 May 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
159
4,353
0
16 Mar 2016
Binarized Neural Networks
Itay Hubara
Daniel Soudry
Ran El-Yaniv
MQ
187
1,348
0
08 Feb 2016
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
2.2K
193,814
0
10 Dec 2015
Learning both Weights and Connections for Efficient Neural Networks
Learning both Weights and Connections for Efficient Neural Networks
Song Han
Jeff Pool
J. Tran
W. Dally
CVBM
308
6,669
0
08 Jun 2015
Distilling the Knowledge in a Neural Network
Distilling the Knowledge in a Neural Network
Geoffrey E. Hinton
Oriol Vinyals
J. Dean
FedML
331
19,634
0
09 Mar 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
305
18,609
0
06 Feb 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
1.7K
150,006
0
22 Dec 2014
Neural Machine Translation by Jointly Learning to Align and Translate
Neural Machine Translation by Jointly Learning to Align and Translate
Dzmitry Bahdanau
Kyunghyun Cho
Yoshua Bengio
AIMat
526
27,295
0
01 Sep 2014
Maxout Networks
Maxout Networks
Ian Goodfellow
David Warde-Farley
M. Berk Mirza
Aaron Courville
Yoshua Bengio
OOD
236
2,178
0
18 Feb 2013
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