Analyzing Upper Bounds on Mean Absolute Errors for Deep Neural Network Based Vector-to-Vector Regression

4 August 2020

Papers citing "Analyzing Upper Bounds on Mean Absolute Errors for Deep Neural Network Based Vector-to-Vector Regression"

6 / 6 papers shown

Title
Theoretical Error Performance Analysis for Variational Quantum Circuit Based Functional Regression Jun Qi Chao-Han Huck Yang Pin-Yu Chen Min-hsiu Hsieh 28 50 0 08 Jun 2022
Exploiting Low-Rank Tensor-Train Deep Neural Networks Based on Riemannian Gradient Descent With Illustrations of Speech Processing Jun Qi Chao-Han Huck Yang Pin-Yu Chen Javier Tejedor 25 16 0 11 Mar 2022
Exploiting Hybrid Models of Tensor-Train Networks for Spoken Command Recognition Jun Qi Javier Tejedor 22 4 0 11 Jan 2022
Classical-to-Quantum Transfer Learning for Spoken Command Recognition Based on Quantum Neural Networks Jun Qi Javier Tejedor 39 43 0 17 Oct 2021
Linear Convergence of Gradient and Proximal-Gradient Methods Under the Polyak-Łojasiewicz Condition Hamed Karimi J. Nutini Mark W. Schmidt 139 1,199 0 16 Aug 2016
Norm-Based Capacity Control in Neural Networks Behnam Neyshabur Ryota Tomioka Nathan Srebro 125 577 0 27 Feb 2015