Calibrated Language Model Fine-Tuning for In- and Out-of-Distribution
Data

Calibrated Language Model Fine-Tuning for In- and Out-of-Distribution Data

22 October 2020

Lingkai Kong

Papers citing "Calibrated Language Model Fine-Tuning for In- and Out-of-Distribution Data"

10 / 10 papers shown

Title
Thrust: Adaptively Propels Large Language Models with External Knowledge Xinran Zhao Hongming Zhang Xiaoman Pan Wenlin Yao Dong Yu Jianshu Chen KELM 48 4 0 19 Jul 2023
Uncertainty Quantification with Pre-trained Language Models: A Large-Scale Empirical Analysis Yuxin Xiao Paul Pu Liang Umang Bhatt W. Neiswanger Ruslan Salakhutdinov Louis-Philippe Morency 175 86 0 10 Oct 2022
A Data Cartography based MixUp for Pre-trained Language Models Seohong Park Cornelia Caragea 11 6 0 06 May 2022
Named Entity Recognition with Small Strongly Labeled and Large Weakly Labeled Data Haoming Jiang Danqing Zhang Tianyu Cao Bing Yin T. Zhao NoLa 19 44 0 16 Jun 2021
Disentangling Adversarial Robustness and Generalization David Stutz Matthias Hein Bernt Schiele AAML OOD 186 272 0 03 Dec 2018
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding Alex Jinpeng Wang Amanpreet Singh Julian Michael Felix Hill Omer Levy Samuel R. Bowman ELM 297 6,950 0 20 Apr 2018
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 270 5,660 0 05 Dec 2016
Fair prediction with disparate impact: A study of bias in recidivism prediction instruments Alexandra Chouldechova FaML 201 2,082 0 24 Oct 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 261 9,134 0 06 Jun 2015
Convolutional Neural Networks for Sentence Classification Yoon Kim AILaw VLM 250 13,360 0 25 Aug 2014