Improving Interpretability and Regularisation in Deep Learning
Repository URI
Repository DOI
Change log
Authors
Wu, Chunyang https://orcid.org/0000-0002-0269-3555
Gales, Mark https://orcid.org/0000-0002-5311-8219
Ragni, Anton
Karanasou, Penny
Sim, Khe Chai
Description
The provided .ctm and scoring .sys files correspond to the MPE systems of Table VI (Javanese) and Table X (BN) of this paper.
Version
Software / Usage instructions
HTK Toolkit, NIST SCLITE Scoring Package
Keywords
activation regularisation, interpretability, visualisation, neural network, deep learning
Publisher
Sponsorship
IARPA (4912046943)
EPSRC (via University of Edinburgh) (EP/I031022/1 ERI016379)
EPSRC (via University of Edinburgh) (EP/I031022/1 ERI016379)