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Mitigating Uncertainty in Document Classification

Mitigating Uncertainty in Document Classification

17 July 2019
Xuchao Zhang
Fanglan Chen
Chang-Tien Lu
Naren Ramakrishnan
ArXivPDFHTML

Papers citing "Mitigating Uncertainty in Document Classification"

12 / 12 papers shown
Title
Do we really have to filter out random noise in pre-training data for language models?
Do we really have to filter out random noise in pre-training data for language models?
Jinghan Ru
Yuxin Xie
Xianwei Zhuang
Yuguo Yin
Zhihui Guo
Zhiming Liu
Qianli Ren
Yuexian Zou
83
4
0
10 Feb 2025
Benchmarking Uncertainty Quantification Methods for Large Language Models with LM-Polygraph
Benchmarking Uncertainty Quantification Methods for Large Language Models with LM-Polygraph
Roman Vashurin
Ekaterina Fadeeva
Artem Vazhentsev
Akim Tsvigun
Daniil Vasilev
...
Timothy Baldwin
Timothy Baldwin
Maxim Panov
Artem Shelmanov
Artem Shelmanov
HILM
68
10
0
21 Jun 2024
Semi-Supervised Dialogue Abstractive Summarization via High-Quality
  Pseudolabel Selection
Semi-Supervised Dialogue Abstractive Summarization via High-Quality Pseudolabel Selection
Jianfeng He
Hang Su
Jason (Jinglun) Cai
Igor Shalyminov
Hwanjun Song
Saab Mansour
32
4
0
06 Mar 2024
Uncertainty Estimation of Transformers' Predictions via Topological
  Analysis of the Attention Matrices
Uncertainty Estimation of Transformers' Predictions via Topological Analysis of the Attention Matrices
Elizaveta Kostenok
D. Cherniavskii
Alexey Zaytsev
56
5
0
22 Aug 2023
Revisiting Softmax for Uncertainty Approximation in Text Classification
Revisiting Softmax for Uncertainty Approximation in Text Classification
Andreas Nugaard Holm
Dustin Wright
Isabelle Augenstein
BDL
UQCV
24
8
0
25 Oct 2022
SUN: Exploring Intrinsic Uncertainties in Text-to-SQL Parsers
SUN: Exploring Intrinsic Uncertainties in Text-to-SQL Parsers
Bowen Qin
Lihan Wang
Binyuan Hui
Bowen Li
Xiangpeng Wei
Binhua Li
Fei Huang
Luo Si
Min Yang
Yongbin Li
45
9
0
14 Sep 2022
Boosting Cross-Lingual Transfer via Self-Learning with Uncertainty
  Estimation
Boosting Cross-Lingual Transfer via Self-Learning with Uncertainty Estimation
Liyan Xu
Xuchao Zhang
Xujiang Zhao
Haifeng Chen
F. Chen
Jinho Choi
28
14
0
01 Sep 2021
Incorporating Uncertainty in Learning to Defer Algorithms for Safe
  Computer-Aided Diagnosis
Incorporating Uncertainty in Learning to Defer Algorithms for Safe Computer-Aided Diagnosis
Jessie Liu
B. Gallego
S. Barbieri
27
14
0
17 Aug 2021
Uncertainty-Aware Reliable Text Classification
Uncertainty-Aware Reliable Text Classification
Yibo Hu
Latifur Khan
EDL
UQCV
38
33
0
15 Jul 2021
Entropy methods for the confidence assessment of probabilistic
  classification models
Entropy methods for the confidence assessment of probabilistic classification models
G. Tornetta
UQCV
14
9
0
28 Mar 2021
Simple and Scalable Predictive Uncertainty Estimation using Deep
  Ensembles
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles
Balaji Lakshminarayanan
Alexander Pritzel
Charles Blundell
UQCV
BDL
276
5,675
0
05 Dec 2016
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
287
9,156
0
06 Jun 2015
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