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FrequentNet: A Novel Interpretable Deep Learning Model for Image
  Classification
v1v2v3v4 (latest)

FrequentNet: A Novel Interpretable Deep Learning Model for Image Classification

Social Science Research Network (SSRN), 2020
4 January 2020
Yifei Li
Kuangyan Song
Yiming Sun
Liao Zhu
    VLMFAtt
ArXiv (abs)PDFHTML

Papers citing "FrequentNet: A Novel Interpretable Deep Learning Model for Image Classification"

5 / 5 papers shown
Finding Lookalike Customers for E-Commerce Marketing
Finding Lookalike Customers for E-Commerce Marketing
Yang Peng
Changzheng Liu
Wei Shen
314
4
0
09 Jan 2023
Deep Learning Based Page Creation for Improving E-Commerce Organic
  Search Traffic
Deep Learning Based Page Creation for Improving E-Commerce Organic Search Traffic
Cheng Jie
Da Xu
Zigeng Wang
Wei Shen
146
3
0
22 Sep 2022
U-Net Convolutional Network for Recognition of Vessels and Materials in Chemistry Lab
Zhihao Shang
Di Bo
176
0
0
12 Sep 2021
Clustering Structure of Microstructure Measures
Clustering Structure of Microstructure Measures
Liao Zhu
Ningning Sun
M. Wells
323
13
0
05 Jul 2021
High-Dimensional Estimation, Basis Assets, and the Adaptive Multi-Factor
  Model
High-Dimensional Estimation, Basis Assets, and the Adaptive Multi-Factor ModelQuarterly Journal of Finance (QJF), 2018
Liao Zhu
Sumanta Basu
R. Jarrow
M. Wells
798
24
0
23 Apr 2018
1
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