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

20 October 2022

Christian Hardmeier

Papers citing "Exploring Predictive Uncertainty and Calibration in NLP: A Study on the Impact of Method & Data Scarcity"

9 / 9 papers shown

Title
Efficient Nearest Neighbor based Uncertainty Estimation for Natural Language Processing Tasks Wataru Hashimoto Hidetaka Kamigaito Taro Watanabe 41 0 0 02 Jul 2024
Types of Out-of-Distribution Texts and How to Detect Them Udit Arora William Huang He He OODD 204 97 0 14 Sep 2021
Genre as Weak Supervision for Cross-lingual Dependency Parsing Max Müller-Eberstein Rob van der Goot Barbara Plank 161 18 0 10 Sep 2021
On the Calibration and Uncertainty of Neural Learning to Rank Models Gustavo Penha C. Hauff 151 30 0 12 Jan 2021
A Survey on Recent Approaches for Natural Language Processing in Low-Resource Scenarios Michael A. Hedderich Lukas Lange Heike Adel Jannik Strötgen Dietrich Klakow 188 283 0 23 Oct 2020
Formalizing Trust in Artificial Intelligence: Prerequisites, Causes and Goals of Human Trust in AI Alon Jacovi Ana Marasović Tim Miller Yoav Goldberg 236 417 0 15 Oct 2020
Calibration of Pre-trained Transformers Shrey Desai Greg Durrett UQLM 229 288 0 17 Mar 2020
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 268 5,635 0 05 Dec 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 243 9,042 0 06 Jun 2015