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Calibrating Structured Output Predictors for Natural Language Processing
9 April 2020
Abhyuday N. Jagannatha
Hong-ye Yu
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Papers citing
"Calibrating Structured Output Predictors for Natural Language Processing"
18 / 18 papers shown
Title
Teaching LLMs to Abstain across Languages via Multilingual Feedback
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Vidhisha Balachandran
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Yulia Tsvetkov
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Lysandre Debut
Julien Chaumond
Thomas Wolf
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SuperGLUE: A Stickier Benchmark for General-Purpose Language Understanding Systems
Alex Jinpeng Wang
Yada Pruksachatkun
Nikita Nangia
Amanpreet Singh
Julian Michael
Felix Hill
Omer Levy
Samuel R. Bowman
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274
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02 May 2019
Calibration of Encoder Decoder Models for Neural Machine Translation
Aviral Kumar
Sunita Sarawagi
179
100
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03 Mar 2019
Evaluating model calibration in classification
Juozas Vaicenavicius
David Widmann
Carl R. Andersson
Fredrik Lindsten
Jacob Roll
Thomas B. Schon
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157
198
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19 Feb 2019
A Simple Baseline for Bayesian Uncertainty in Deep Learning
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T. Garipov
Pavel Izmailov
Dmitry Vetrov
A. Wilson
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87
808
0
07 Feb 2019
BioBERT: a pre-trained biomedical language representation model for biomedical text mining
Jinhyuk Lee
Wonjin Yoon
Sungdong Kim
Donghyeon Kim
Sunkyu Kim
Chan Ho So
Jaewoo Kang
OOD
156
5,659
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25 Jan 2019
Clinical Concept Extraction with Contextual Word Embedding
Henghui Zhu
I. Paschalidis
A. Tahmasebi
128
76
0
24 Oct 2018
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Jacob Devlin
Ming-Wei Chang
Kenton Lee
Kristina Toutanova
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SSeg
1.8K
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11 Oct 2018
emrQA: A Large Corpus for Question Answering on Electronic Medical Records
Anusri Pampari
Preethi Raghavan
Jennifer J. Liang
Jian-wei Peng
63
206
0
03 Sep 2018
Know What You Don't Know: Unanswerable Questions for SQuAD
Pranav Rajpurkar
Robin Jia
Percy Liang
RALM
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279
2,845
0
11 Jun 2018
Confidence Modeling for Neural Semantic Parsing
Li Dong
Chris Quirk
Mirella Lapata
72
84
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11 May 2018
Predictive Uncertainty Estimation via Prior Networks
A. Malinin
Mark Gales
UD
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EDL
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PER
191
920
0
28 Feb 2018
Deep contextualized word representations
Matthew E. Peters
Mark Neumann
Mohit Iyyer
Matt Gardner
Christopher Clark
Kenton Lee
Luke Zettlemoyer
NAI
214
11,556
0
15 Feb 2018
On Calibration of Modern Neural Networks
Chuan Guo
Geoff Pleiss
Yu Sun
Kilian Q. Weinberger
UQCV
299
5,833
0
14 Jun 2017
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles
Balaji Lakshminarayanan
Alexander Pritzel
Charles Blundell
UQCV
BDL
840
5,821
0
05 Dec 2016
Posterior calibration and exploratory analysis for natural language processing models
Khanh Nguyen
Brendan O'Connor
157
139
0
21 Aug 2015
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
829
9,318
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06 Jun 2015
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