Search Results for author: Jan Silovsky

Found 4 papers, 0 papers with code

Learning from Noisy Labels with Noise Modeling Network

no code implementations1 May 2020 Zhuolin Jiang, Jan Silovsky, Man-Hung Siu, William Hartmann, Herbert Gish, Sancar Adali

Multi-label image classification has generated significant interest in recent years and the performance of such systems often suffers from the not so infrequent occurrence of incorrect or missing labels in the training data.

General Classification Missing Labels +2

Improving Language Identification for Multilingual Speakers

no code implementations29 Jan 2020 Andrew Titus, Jan Silovsky, Nanxin Chen, Roger Hsiao, Mary Young, Arnab Ghoshal

Spoken language identification (LID) technologies have improved in recent years from discriminating largely distinct languages to discriminating highly similar languages or even dialects of the same language.

Language Identification Spoken language identification

Towards a New Understanding of the Training of Neural Networks with Mislabeled Training Data

no code implementations18 Sep 2019 Herbert Gish, Jan Silovsky, Man-Ling Sung, Man-Hung Siu, William Hartmann, Zhuolin Jiang

This includes results about the ability of the noisy model to make the same decisions as the clean model and the effects of noise on model performance.

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