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FrequentNet: A Novel Interpretable Deep Learning Model for Image
  Classification

FrequentNet: A Novel Interpretable Deep Learning Model for Image Classification

4 January 2020
Yifei Li
Kuangyan Song
Yiming Sun
Liao Zhu
    VLM
    FAtt
ArXivPDFHTML

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

8 / 8 papers shown
Title
The Adaptive Multi-Factor Model and the Financial Market
The Adaptive Multi-Factor Model and the Financial Market
Liao Zhu
18
13
0
30 Jul 2021
Clustering Structure of Microstructure Measures
Clustering Structure of Microstructure Measures
Liao Zhu
Ningning Sun
M. Wells
29
14
0
05 Jul 2021
A News-based Machine Learning Model for Adaptive Asset Pricing
A News-based Machine Learning Model for Adaptive Asset Pricing
Liao Zhu
Haoxuan Wu
M. Wells
AIFin
35
12
0
13 Jun 2021
Tensor Random Projection for Low Memory Dimension Reduction
Tensor Random Projection for Low Memory Dimension Reduction
Yiming Sun
Yang Guo
J. Tropp
Madeleine Udell
131
35
0
30 Apr 2021
Time-Invariance Coefficients Tests with the Adaptive Multi-Factor Model
Time-Invariance Coefficients Tests with the Adaptive Multi-Factor Model
Liao Zhu
R. Jarrow
M. Wells
18
14
0
09 Nov 2020
Low-Rank Tucker Approximation of a Tensor From Streaming Data
Low-Rank Tucker Approximation of a Tensor From Streaming Data
Yiming Sun
Yang Guo
Charlene Luo
J. Tropp
Madeleine Udell
36
71
0
24 Apr 2019
High-Dimensional Estimation, Basis Assets, and the Adaptive Multi-Factor
  Model
High-Dimensional Estimation, Basis Assets, and the Adaptive Multi-Factor Model
Liao Zhu
Sumanta Basu
R. Jarrow
M. Wells
34
23
0
23 Apr 2018
PCANet: A Simple Deep Learning Baseline for Image Classification?
PCANet: A Simple Deep Learning Baseline for Image Classification?
Tsung-Han Chan
Kui Jia
Shenghua Gao
Jiwen Lu
Zinan Zeng
Yi-An Ma
88
1,496
0
14 Apr 2014
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