Benchmarking Scalable Predictive Uncertainty in Text Classification
Author:
Affiliation:
1. Department of Computer Science, KU Leuven, Leuven, LIIR, Belgium
2. Department of Electrical Engineering, ESAT-PSI, KU Leuven, Leuven, Belgium
3. Contract.fit, Deinze, Belgium
Funder
Flemish Innovation and Entrepreneurship (VLAIO) through the Baekeland Ph.D. Mandate
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
General Engineering,General Materials Science,General Computer Science
Link
http://xplorestaging.ieee.org/ielx7/6287639/9668973/09761166.pdf?arnumber=9761166
Reference146 articles.
1. How Large a Vocabulary Does Text Classification Need? A Variational Approach to Vocabulary Selection
2. Long-length legal document classification;wan;arXiv 1912 06905,2019
3. Bayesian SegNet: Model uncertainty in deep convolutional encoder-decoder architectures for scene understanding;kendall;arXiv 1511 02680,2015
4. A review of uncertainty quantification in deep learning: Techniques, applications and challenges
5. Anomalous Example Detection in Deep Learning: A Survey
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