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Exploring Bayesian Deep Learning for Urgent Instructor Intervention Need
  in MOOC Forums

Exploring Bayesian Deep Learning for Urgent Instructor Intervention Need in MOOC Forums

26 April 2021
Jialin Yu
Laila Alrajhi
Anoushka Harit
Zhongtian Sun
Alexandra I. Cristea
Lei Shi
    BDL
    UQCV
ArXivPDFHTML

Papers citing "Exploring Bayesian Deep Learning for Urgent Instructor Intervention Need in MOOC Forums"

6 / 6 papers shown
Title
Explainability through uncertainty: Trustworthy decision-making with
  neural networks
Explainability through uncertainty: Trustworthy decision-making with neural networks
Arthur Thuy
Dries F. Benoit
38
13
0
15 Mar 2024
Towards Generalizable Detection of Urgency of Discussion Forum Posts
Towards Generalizable Detection of Urgency of Discussion Forum Posts
Valdemar Švábenský
Ryan S. Baker
A. F. Zambrano
Yishan Zou
Stefan Slater
15
4
0
14 Jul 2023
Religion and Spirituality on Social Media in the Aftermath of the Global
  Pandemic
Religion and Spirituality on Social Media in the Aftermath of the Global Pandemic
O. Aduragba
Alexandra I. Cristea
Pete Phillips
Jonas Kurlberg
Jialin Yu
11
2
0
11 Dec 2022
Incorporating Emotions into Health Mention Classification Task on Social
  Media
Incorporating Emotions into Health Mention Classification Task on Social Media
O. Aduragba
Jialin Yu
Alexandra I. Cristea
17
1
0
09 Dec 2022
Effective Approaches to Attention-based Neural Machine Translation
Effective Approaches to Attention-based Neural Machine Translation
Thang Luong
Hieu H. Pham
Christopher D. Manning
214
7,923
0
17 Aug 2015
Dropout as a Bayesian Approximation: Representing Model Uncertainty in
  Deep Learning
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
247
9,109
0
06 Jun 2015
1