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Exploiting Low-Rank Tensor-Train Deep Neural Networks Based on
  Riemannian Gradient Descent With Illustrations of Speech Processing

Exploiting Low-Rank Tensor-Train Deep Neural Networks Based on Riemannian Gradient Descent With Illustrations of Speech Processing

11 March 2022
Jun Qi
Chao-Han Huck Yang
Pin-Yu Chen
Javier Tejedor
ArXiv (abs)PDFHTML

Papers citing "Exploiting Low-Rank Tensor-Train Deep Neural Networks Based on Riemannian Gradient Descent With Illustrations of Speech Processing"

28 / 28 papers shown
Title
Exploiting Hybrid Models of Tensor-Train Networks for Spoken Command
  Recognition
Exploiting Hybrid Models of Tensor-Train Networks for Spoken Command Recognition
Jun Qi
Javier Tejedor
55
4
0
11 Jan 2022
Classical-to-Quantum Transfer Learning for Spoken Command Recognition
  Based on Quantum Neural Networks
Classical-to-Quantum Transfer Learning for Spoken Command Recognition Based on Quantum Neural Networks
Jun Qi
Javier Tejedor
74
43
0
17 Oct 2021
Decentralizing Feature Extraction with Quantum Convolutional Neural
  Network for Automatic Speech Recognition
Decentralizing Feature Extraction with Quantum Convolutional Neural Network for Automatic Speech Recognition
Chao-Han Huck Yang
Jun Qi
Samuel Yen-Chi Chen
Pin-Yu Chen
Sabato Marco Siniscalchi
Xiaoli Ma
Chin-Hui Lee
FedML
89
128
0
26 Oct 2020
On Mean Absolute Error for Deep Neural Network Based Vector-to-Vector
  Regression
On Mean Absolute Error for Deep Neural Network Based Vector-to-Vector Regression
Jun Qi
Jun Du
Sabato Marco Siniscalchi
Xiaoli Ma
Chin-Hui Lee
45
226
0
12 Aug 2020
Analyzing Upper Bounds on Mean Absolute Errors for Deep Neural Network
  Based Vector-to-Vector Regression
Analyzing Upper Bounds on Mean Absolute Errors for Deep Neural Network Based Vector-to-Vector Regression
Jun Qi
Jun Du
Sabato Marco Siniscalchi
Xiaoli Ma
Chin-Hui Lee
90
42
0
04 Aug 2020
Exploring Deep Hybrid Tensor-to-Vector Network Architectures for
  Regression Based Speech Enhancement
Exploring Deep Hybrid Tensor-to-Vector Network Architectures for Regression Based Speech Enhancement
Jun Qi
Hu Hu
Yannan Wang
Chao-Han Huck Yang
Sabato Marco Siniscalchi
Chin-Hui Lee
137
11
0
25 Jul 2020
Tensor Decompositions in Deep Learning
Tensor Decompositions in Deep Learning
D. Bacciu
Danilo P. Mandic
42
14
0
26 Feb 2020
Proving the Lottery Ticket Hypothesis: Pruning is All You Need
Proving the Lottery Ticket Hypothesis: Pruning is All You Need
Eran Malach
Gilad Yehudai
Shai Shalev-Shwartz
Ohad Shamir
107
276
0
03 Feb 2020
Rethinking the Value of Network Pruning
Rethinking the Value of Network Pruning
Zhuang Liu
Mingjie Sun
Tinghui Zhou
Gao Huang
Trevor Darrell
38
1,474
0
11 Oct 2018
A neural attention model for speech command recognition
A neural attention model for speech command recognition
Douglas Coimbra de Andrade
Sabato Leo
M. Viana
Christoph Bernkopf
45
145
0
27 Aug 2018
How Does Batch Normalization Help Optimization?
How Does Batch Normalization Help Optimization?
Shibani Santurkar
Dimitris Tsipras
Andrew Ilyas
Aleksander Madry
ODL
105
1,544
0
29 May 2018
Generalized Cross Entropy Loss for Training Deep Neural Networks with
  Noisy Labels
Generalized Cross Entropy Loss for Training Deep Neural Networks with Noisy Labels
Zhilu Zhang
M. Sabuncu
NoLa
85
2,610
0
20 May 2018
Speech Commands: A Dataset for Limited-Vocabulary Speech Recognition
Speech Commands: A Dataset for Limited-Vocabulary Speech Recognition
Pete Warden
97
1,626
0
09 Apr 2018
Introduction to Tensor Decompositions and their Applications in Machine
  Learning
Introduction to Tensor Decompositions and their Applications in Machine Learning
Stephan Rabanser
Oleksandr Shchur
Stephan Günnemann
AI4CE
43
207
0
29 Nov 2017
Long-term Forecasting using Higher Order Tensor RNNs
Long-term Forecasting using Higher Order Tensor RNNs
Rose Yu
Stephan Zheng
Anima Anandkumar
Yisong Yue
AI4TS
58
133
0
31 Oct 2017
Listening to the World Improves Speech Command Recognition
Listening to the World Improves Speech Command Recognition
B. McMahan
D. Rao
98
38
0
23 Oct 2017
Scalable Gaussian Processes with Billions of Inducing Inputs via Tensor
  Train Decomposition
Scalable Gaussian Processes with Billions of Inducing Inputs via Tensor Train Decomposition
Pavel Izmailov
Alexander Novikov
D. Kropotov
62
62
0
19 Oct 2017
To prune, or not to prune: exploring the efficacy of pruning for model
  compression
To prune, or not to prune: exploring the efficacy of pruning for model compression
Michael Zhu
Suyog Gupta
197
1,281
0
05 Oct 2017
Tensor-Train Recurrent Neural Networks for Video Classification
Tensor-Train Recurrent Neural Networks for Video Classification
Yinchong Yang
Denis Krompass
Volker Tresp
68
243
0
06 Jul 2017
Ultimate tensorization: compressing convolutional and FC layers alike
Ultimate tensorization: compressing convolutional and FC layers alike
T. Garipov
D. Podoprikhin
Alexander Novikov
Dmitry Vetrov
68
191
0
10 Nov 2016
Tensor Decomposition for Signal Processing and Machine Learning
Tensor Decomposition for Signal Processing and Machine Learning
N. Sidiropoulos
L. De Lathauwer
Xiao Fu
Kejun Huang
Evangelos E. Papalexakis
Christos Faloutsos
162
1,360
0
06 Jul 2016
Riemannian SVRG: Fast Stochastic Optimization on Riemannian Manifolds
Riemannian SVRG: Fast Stochastic Optimization on Riemannian Manifolds
Hongyi Zhang
Sashank J. Reddi
S. Sra
102
241
0
23 May 2016
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
2.2K
194,426
0
10 Dec 2015
Tensorizing Neural Networks
Tensorizing Neural Networks
Alexander Novikov
D. Podoprikhin
A. Osokin
Dmitry Vetrov
117
883
0
22 Sep 2015
Effective Approaches to Attention-based Neural Machine Translation
Effective Approaches to Attention-based Neural Machine Translation
Thang Luong
Hieu H. Pham
Christopher D. Manning
413
7,969
0
17 Aug 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
2.1K
150,312
0
22 Dec 2014
Generalized Max Pooling
Generalized Max Pooling
Naila Murray
Florent Perronnin
93
205
0
02 Jun 2014
Stochastic gradient descent on Riemannian manifolds
Stochastic gradient descent on Riemannian manifolds
Silvere Bonnabel
117
593
0
22 Nov 2011
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