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Decentralizing Feature Extraction with Quantum Convolutional Neural
  Network for Automatic Speech Recognition

Decentralizing Feature Extraction with Quantum Convolutional Neural Network for Automatic Speech Recognition

26 October 2020
Chao-Han Huck Yang
Jun Qi
Samuel Yen-Chi Chen
Pin-Yu Chen
Sabato Marco Siniscalchi
Xiaoli Ma
Chin-Hui Lee
    FedML
ArXivPDFHTML

Papers citing "Decentralizing Feature Extraction with Quantum Convolutional Neural Network for Automatic Speech Recognition"

5 / 55 papers shown
Title
PATE-AAE: Incorporating Adversarial Autoencoder into Private Aggregation
  of Teacher Ensembles for Spoken Command Classification
PATE-AAE: Incorporating Adversarial Autoencoder into Private Aggregation of Teacher Ensembles for Spoken Command Classification
Chao-Han Huck Yang
Sabato Marco Siniscalchi
Chin-Hui Lee
57
22
0
02 Apr 2021
Federated Quantum Machine Learning
Federated Quantum Machine Learning
Samuel Yen-Chi Chen
Shinjae Yoo
FedML
AI4CE
19
115
0
22 Mar 2021
Quantum machine learning with differential privacy
Quantum machine learning with differential privacy
William Watkins
Samuel Yen-Chi Chen
Shinjae Yoo
21
47
0
10 Mar 2021
Hybrid Quantum-Classical Graph Convolutional Network
Hybrid Quantum-Classical Graph Convolutional Network
Samuel Yen-Chi Chen
T. Wei
Chao Zhang
Haiwang Yu
Shinjae Yoo
GNN
18
36
0
15 Jan 2021
Quantum Convolutional Neural Networks for High Energy Physics Data
  Analysis
Quantum Convolutional Neural Networks for High Energy Physics Data Analysis
Samuel Yen-Chi Chen
T. Wei
Chao Zhang
Haiwang Yu
Shinjae Yoo
28
102
0
22 Dec 2020
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