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Should Ensemble Members Be Calibrated?


Jan 13, 2021
Xixin Wu, Mark Gales


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CUED_speech at TREC 2020 Podcast Summarisation Track


Jan 13, 2021
Potsawee Manakul, Mark Gales

* TREC 2020 

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Ensemble Distillation Approaches for Grammatical Error Correction


Dec 15, 2020
Yassir Fathullah, Mark Gales, Andrey Malinin

* Submitted to ICASSP 2021 

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Regression Prior Networks


Jun 20, 2020
Andrey Malinin, Sergey Chervontsev, Ivan Provilkov, Mark Gales


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Uncertainty in Structured Prediction


Feb 28, 2020
Andrey Malinin, Mark Gales


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Confidence Estimation for Black Box Automatic Speech Recognition Systems Using Lattice Recurrent Neural Networks


Oct 25, 2019
Alexandros Kastanos, Anton Ragni, Mark Gales

* 5 pages, 8 figures, ICASSP submission 

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Reverse KL-Divergence Training of Prior Networks: Improved Uncertainty and Adversarial Robustness


May 31, 2019
Andrey Malinin, Mark Gales


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Ensemble Distribution Distillation


May 30, 2019
Andrey Malinin, Bruno Mlodozeniec, Mark Gales


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Prior Networks for Detection of Adversarial Attacks


Dec 06, 2018
Andrey Malinin, Mark Gales


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Confidence Estimation and Deletion Prediction Using Bidirectional Recurrent Neural Networks


Oct 30, 2018
Anton Ragni, Qiujia Li, Mark Gales, Yu Wang

* Accepted as a conference paper at 2018 IEEE Workshop on Spoken Language Technology (SLT 2018) 

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Bi-Directional Lattice Recurrent Neural Networks for Confidence Estimation


Oct 30, 2018
Qiujia Li, Preben Ness, Anton Ragni, Mark Gales

* Submitted to 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2019) 

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Predictive Uncertainty Estimation via Prior Networks


Oct 08, 2018
Andrey Malinin, Mark Gales


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Phonetic and Graphemic Systems for Multi-Genre Broadcast Transcription


Feb 01, 2018
Yu Wang, Xie Chen, Mark Gales, Anton Ragni, Jeremy Wong

* 5 pages, 6 tables, to appear in 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2018) 

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Future Word Contexts in Neural Network Language Models


Aug 18, 2017
Xie Chen, Xunying Liu, Anton Ragni, Yu Wang, Mark Gales

* Submitted to ASRU2017 

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