Bag of Tricks for In-Distribution Calibration of Pretrained Transformers

13 February 2023

Papers citing "Bag of Tricks for In-Distribution Calibration of Pretrained Transformers"

8 / 8 papers shown

Title
Are Data Augmentation Methods in Named Entity Recognition Applicable for Uncertainty Estimation? Wataru Hashimoto Hidetaka Kamigaito Taro Watanabe 27 1 0 02 Jul 2024
AnchorAL: Computationally Efficient Active Learning for Large and Imbalanced Datasets Pietro Lesci Andreas Vlachos 33 2 0 08 Apr 2024
A Survey of Confidence Estimation and Calibration in Large Language Models Jiahui Geng Fengyu Cai Yuxia Wang Heinz Koeppl Preslav Nakov Iryna Gurevych UQCV 41 54 0 14 Nov 2023
From Simple to Complex: A Progressive Framework for Document-level Informative Argument Extraction Quzhe Huang Yanxi Zhang Dongyan Zhao AI4TS 27 8 0 25 Oct 2023
Calibration Error Estimation Using Fuzzy Binning Geetanjali Bihani Julia Taylor Rayz 93 2 0 30 Apr 2023
Calibration of Pre-trained Transformers Shrey Desai Greg Durrett UQLM 243 289 0 17 Mar 2020
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 273 5,660 0 05 Dec 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 285 9,136 0 06 Jun 2015