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Modeling Token-level Uncertainty to Learn Unknown Concepts in SLU via
  Calibrated Dirichlet Prior RNN

Modeling Token-level Uncertainty to Learn Unknown Concepts in SLU via Calibrated Dirichlet Prior RNN

16 October 2020
Yilin Shen
Wenhu Chen
Hongxia Jin
    UQCV
    BDL
ArXivPDFHTML

Papers citing "Modeling Token-level Uncertainty to Learn Unknown Concepts in SLU via Calibrated Dirichlet Prior RNN"

2 / 2 papers shown
Title
Exploring Predictive Uncertainty and Calibration in NLP: A Study on the
  Impact of Method & Data Scarcity
Exploring Predictive Uncertainty and Calibration in NLP: A Study on the Impact of Method & Data Scarcity
Dennis Ulmer
J. Frellsen
Christian Hardmeier
189
22
0
20 Oct 2022
Adversarial examples in the physical world
Adversarial examples in the physical world
Alexey Kurakin
Ian Goodfellow
Samy Bengio
SILM
AAML
287
5,837
0
08 Jul 2016
1