ICASSP 2015accepted0 citations
Towards machines that know when they do not know: Summary of work done at 2014 Frederick Jelinek Memorial Workshop
Hynek Hermansky, Lukás Burget, Jordan Cohen, Emmanuel Dupoux, Naomi Feldman, John Godfrey, Sanjeev Khudanpur, Matthew Maciejewski
Abstract
A group of junior and senior researchers gathered as a part of the 2014 Frederick Jelinek Memorial Workshop in Prague to address the problem of predicting the accuracy of a nonlinear Deep Neural Network probability estimator for unknown data in a different application domain from the domain in which the estimator was trained. The paper describes the problem and summarizes approaches that were taken by the group <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">1</sup> .
BibTeX
@inproceedings{icassp2015_towardsmachinest,
title = {Towards machines that know when they do not know: Summary of work done at 2014 Frederick Jelinek Memorial Workshop},
author = {Hynek Hermansky and Lukás Burget and Jordan Cohen and Emmanuel Dupoux and Naomi Feldman and John Godfrey and Sanjeev Khudanpur and Matthew Maciejewski and Sri Harish Reddy Mallidi and Anjali Menon and Tetsuji Ogawa and Vijayaditya Peddinti and Richard C. Rose and Richard M. Stern and Matthew Wiesner and Karel Veselý},
booktitle = {ICASSP 2015},
year = {2015}
}