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  3. 2002.06517
  4. Cited By
BinaryDuo: Reducing Gradient Mismatch in Binary Activation Network by
  Coupling Binary Activations

BinaryDuo: Reducing Gradient Mismatch in Binary Activation Network by Coupling Binary Activations

International Conference on Learning Representations (ICLR), 2020
16 February 2020
Hyungjun Kim
Kyungsu Kim
Jinseok Kim
Jae-Joon Kim
    MQ
ArXiv (abs)PDFHTML

Papers citing "BinaryDuo: Reducing Gradient Mismatch in Binary Activation Network by Coupling Binary Activations"

27 / 27 papers shown
Beyond Discreteness: Finite-Sample Analysis of Straight-Through Estimator for Quantization
Beyond Discreteness: Finite-Sample Analysis of Straight-Through Estimator for Quantization
Halyun Jeong
Jack Xin
Penghang Yin
MQ
294
0
0
23 May 2025
Efficient Multitask Dense Predictor via Binarization
Efficient Multitask Dense Predictor via BinarizationComputer Vision and Pattern Recognition (CVPR), 2024
Yuzhang Shang
Dan Xu
Gaowen Liu
Ramana Rao Kompella
Yan Yan
MQAAML
377
7
0
23 May 2024
Designed Dithering Sign Activation for Binary Neural Networks
Designed Dithering Sign Activation for Binary Neural NetworksIEEE Journal on Selected Topics in Signal Processing (JSTSP), 2024
Brayan Monroy
Juan Estupiñán
T. Gelvez-Barrera
Jorge Bacca
Henry Arguello
MQ
401
2
0
03 May 2024
Ternary Quantization: A Survey
Ternary Quantization: A Survey
Danyang Liu
Xue Liu
MQ
197
6
0
02 Mar 2023
IR2Net: Information Restriction and Information Recovery for Accurate
  Binary Neural Networks
IR2Net: Information Restriction and Information Recovery for Accurate Binary Neural Networks
Ping Xue
Yang Lu
Jingfei Chang
Xing Wei
Zhen Wei
MQ
313
0
0
06 Oct 2022
CTMQ: Cyclic Training of Convolutional Neural Networks with Multiple
  Quantization Steps
CTMQ: Cyclic Training of Convolutional Neural Networks with Multiple Quantization Steps
Hyunjin Kim
Jungwoon Shin
Alberto A. Del Barrio
MQ
276
3
0
26 Jun 2022
Pixel to Binary Embedding Towards Robustness for CNNs
Pixel to Binary Embedding Towards Robustness for CNNsInternational Conference on Pattern Recognition (ICPR), 2022
Ikki Kishida
Hideki Nakayama
291
0
0
13 Jun 2022
INSTA-BNN: Binary Neural Network with INSTAnce-aware Threshold
INSTA-BNN: Binary Neural Network with INSTAnce-aware ThresholdIEEE International Conference on Computer Vision (ICCV), 2022
Chang-Ho Lee
Hyungjun Kim
Eunhyeok Park
Jae-Joon Kim
MQ
288
16
0
15 Apr 2022
PR-CIM: a Variation-Aware Binary-Neural-Network Framework for
  Process-Resilient Computation-in-memory
PR-CIM: a Variation-Aware Binary-Neural-Network Framework for Process-Resilient Computation-in-memory
Minh-Son Le
Thi-Nhan Pham
Thanh-Dat Nguyen
I. Chang
MQ
163
3
0
19 Oct 2021
Unsupervised Representation Learning for Binary Networks by Joint
  Classifier Learning
Unsupervised Representation Learning for Binary Networks by Joint Classifier Learning
Dahyun Kim
Jonghyun Choi
SSLMQ
428
5
0
17 Oct 2021
BNAS v2: Learning Architectures for Binary Networks with Empirical
  Improvements
BNAS v2: Learning Architectures for Binary Networks with Empirical Improvements
Dahyun Kim
Kunal Pratap Singh
Jonghyun Choi
MQ
329
7
0
16 Oct 2021
A comprehensive review of Binary Neural Network
A comprehensive review of Binary Neural NetworkArtificial Intelligence Review (AIR), 2021
Chunyu Yuan
S. Agaian
MQ
443
144
0
11 Oct 2021
VC dimension of partially quantized neural networks in the
  overparametrized regime
VC dimension of partially quantized neural networks in the overparametrized regime
Yutong Wang
Clayton D. Scott
315
1
0
06 Oct 2021
OMPQ: Orthogonal Mixed Precision Quantization
OMPQ: Orthogonal Mixed Precision QuantizationAAAI Conference on Artificial Intelligence (AAAI), 2021
Yuexiao Ma
Taisong Jin
Xiawu Zheng
Yan Wang
Huixia Li
Yongjian Wu
Guannan Jiang
Wei Zhang
Rongrong Ji
MQ
417
54
0
16 Sep 2021
Spiking Neural Networks with Improved Inherent Recurrence Dynamics for
  Sequential Learning
Spiking Neural Networks with Improved Inherent Recurrence Dynamics for Sequential Learning
Wachirawit Ponghiran
Kaushik Roy
235
60
0
04 Sep 2021
Training Multi-bit Quantized and Binarized Networks with A Learnable
  Symmetric Quantizer
Training Multi-bit Quantized and Binarized Networks with A Learnable Symmetric QuantizerIEEE Access (IEEE Access), 2021
Phuoc Pham
J. Abraham
Jaeyong Chung
MQ
250
17
0
01 Apr 2021
RCT: Resource Constrained Training for Edge AI
RCT: Resource Constrained Training for Edge AIIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2021
Tian Huang
Yaoyu Zhang
Ming Yan
Qiufeng Wang
Rick Siow Mong Goh
337
13
0
26 Mar 2021
Self-Distribution Binary Neural Networks
Self-Distribution Binary Neural Networks
Ping Xue
Yang Lu
Jingfei Chang
Xing Wei
Zhen Wei
MQ
231
12
0
03 Mar 2021
Generative Zero-shot Network Quantization
Generative Zero-shot Network Quantization
Xiangyu He
Qinghao Hu
Peisong Wang
Jian Cheng
GANMQ
248
26
0
21 Jan 2021
BinaryBERT: Pushing the Limit of BERT Quantization
BinaryBERT: Pushing the Limit of BERT QuantizationAnnual Meeting of the Association for Computational Linguistics (ACL), 2020
Haoli Bai
Wei Zhang
Lu Hou
Lifeng Shang
Jing Jin
Xin Jiang
Qun Liu
Michael Lyu
Irwin King
MQ
658
261
0
31 Dec 2020
Improving Accuracy of Binary Neural Networks using Unbalanced Activation
  Distribution
Improving Accuracy of Binary Neural Networks using Unbalanced Activation DistributionComputer Vision and Pattern Recognition (CVPR), 2020
Hyungjun Kim
Jihoon Park
Chang-Ho Lee
Jae-Joon Kim
MQ
325
36
0
02 Dec 2020
A Review of Recent Advances of Binary Neural Networks for Edge Computing
A Review of Recent Advances of Binary Neural Networks for Edge ComputingIEEE Journal on Miniaturization for Air and Space Systems (J-MASS), 2020
Wenyu Zhao
Teli Ma
Xuan Gong
Baochang Zhang
David Doermann
MQ
257
26
0
24 Nov 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
Tianpeng Liu
MQ
324
3
0
19 Oct 2020
Learning Architectures for Binary Networks
Learning Architectures for Binary NetworksEuropean Conference on Computer Vision (ECCV), 2020
Dahyun Kim
Kunal Pratap Singh
Jonghyun Choi
MQ
366
47
0
17 Feb 2020
Least squares binary quantization of neural networks
Least squares binary quantization of neural networks
Hadi Pouransari
Zhucheng Tu
Oncel Tuzel
MQ
374
39
0
09 Jan 2020
Loss Aware Post-training Quantization
Loss Aware Post-training QuantizationMachine-mediated learning (ML), 2019
Yury Nahshan
Brian Chmiel
Chaim Baskin
Evgenii Zheltonozhskii
Ron Banner
A. Bronstein
A. Mendelson
MQ
385
196
0
17 Nov 2019
Circulant Binary Convolutional Networks: Enhancing the Performance of
  1-bit DCNNs with Circulant Back Propagation
Circulant Binary Convolutional Networks: Enhancing the Performance of 1-bit DCNNs with Circulant Back PropagationComputer Vision and Pattern Recognition (CVPR), 2019
Chunlei Liu
Wenrui Ding
Xin Xia
Baochang Zhang
Jiaxin Gu
Jianzhuang Liu
Rongrong Ji
David Doermann
MQ
434
82
0
24 Oct 2019
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