Uncertainty Quantification for Text Classification

Author:

Zhang Dell1ORCID,Sensoy Murat2ORCID,Makrehchi Masoud3ORCID,Taneva-Popova Bilyana4ORCID,Gui Lin5ORCID,He Yulan6ORCID

Affiliation:

1. Thomson Reuters Labs, London, United Kingdom

2. Amazon Alexa AI, London, United Kingdom

3. Thomson Reuters Labs, Toronto, ON, Canada

4. Thomson Reuters Labs, Zug, Switzerland

5. King's College London, London, United Kingdom

6. King's College London & The Alan Turing Institute, London, United Kingdom

Funder

Engineering and Physical Sciences Research Council

Publisher

ACM

Reference47 articles.

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2. Charles Blundell , Julien Cornebise , Koray Kavukcuoglu , and Daan Wierstra . 2015 . Weight Uncertainty in Neural Network . In Proceedings of the 32nd International Conference on Machine Learning. PMLR, 1613--1622 . Charles Blundell, Julien Cornebise, Koray Kavukcuoglu, and Daan Wierstra. 2015. Weight Uncertainty in Neural Network. In Proceedings of the 32nd International Conference on Machine Learning. PMLR, 1613--1622.

3. Bertrand Charpentier , Daniel Zügner , and Stephan Günnemann . 2020 . Posterior Network: Uncertainty Estimation without OOD Samples via Density-Based Pseudo-Counts . In Advances in Neural Information Processing Systems , Vol. 33 . Curran Associates, Inc., 1356--1367. Bertrand Charpentier, Daniel Zügner, and Stephan Günnemann. 2020. Posterior Network: Uncertainty Estimation without OOD Samples via Density-Based Pseudo-Counts. In Advances in Neural Information Processing Systems, Vol. 33. Curran Associates, Inc., 1356--1367.

4. Yarin Gal and Zoubin Ghahramani . 2016 . Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning . In Proceedings of The 33rd International Conference on Machine Learning. PMLR, 1050--1059 . Yarin Gal and Zoubin Ghahramani. 2016. Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning. In Proceedings of The 33rd International Conference on Machine Learning. PMLR, 1050--1059.

5. Jakob Gawlikowski , Cedrique Rovile Njieutcheu Tassi , Mohsin Ali, Jongseok Lee, Matthias Humt, Jianxiang Feng, Anna Kruspe, Rudolph Triebel, Peter Jung, Ribana Roscher, Muhammad Shahzad, Wen Yang, Richard Bamler, and Xiao Xiang Zhu. 2022 . A Survey of Uncertainty in Deep Neural Networks . https://doi.org/10.48550/arXiv.2107.03342 arxiv: 2107.03342 [cs, stat] 10.48550/arXiv.2107.03342 Jakob Gawlikowski, Cedrique Rovile Njieutcheu Tassi, Mohsin Ali, Jongseok Lee, Matthias Humt, Jianxiang Feng, Anna Kruspe, Rudolph Triebel, Peter Jung, Ribana Roscher, Muhammad Shahzad, Wen Yang, Richard Bamler, and Xiao Xiang Zhu. 2022. A Survey of Uncertainty in Deep Neural Networks. https://doi.org/10.48550/arXiv.2107.03342 arxiv: 2107.03342 [cs, stat]

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