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Uncertainty-aware Self-training for Low-resource Neural Sequence
  Labeling

Uncertainty-aware Self-training for Low-resource Neural Sequence Labeling

17 February 2023
J. Wang
Chengyu Wang
Jun Huang
Ming Gao
Aoying Zhou
    BDL
    UQLM
    NoLa
ArXivPDFHTML

Papers citing "Uncertainty-aware Self-training for Low-resource Neural Sequence Labeling"

6 / 6 papers shown
Title
Self-Evolutionary Large Language Models through Uncertainty-Enhanced
  Preference Optimization
Self-Evolutionary Large Language Models through Uncertainty-Enhanced Preference Optimization
Jianing Wang
Yang Zhou
Xiaocheng Zhang
Mengjiao Bao
Peng Yan
30
1
0
17 Sep 2024
Self-Improving Interference Management Based on Deep Learning With
  Uncertainty Quantification
Self-Improving Interference Management Based on Deep Learning With Uncertainty Quantification
Hyun-Suk Lee
Do-Yup Kim
Kyungsik Min
8
0
0
24 Jan 2024
HugNLP: A Unified and Comprehensive Library for Natural Language
  Processing
HugNLP: A Unified and Comprehensive Library for Natural Language Processing
J. Wang
Nuo Chen
Qiushi Sun
Wenkang Huang
Chengyu Wang
Ming Gao
25
3
0
28 Feb 2023
Uncertainty-Aware Reliable Text Classification
Uncertainty-Aware Reliable Text Classification
Yibo Hu
Latifur Khan
EDL
UQCV
31
33
0
15 Jul 2021
In Defense of Pseudo-Labeling: An Uncertainty-Aware Pseudo-label
  Selection Framework for Semi-Supervised Learning
In Defense of Pseudo-Labeling: An Uncertainty-Aware Pseudo-label Selection Framework for Semi-Supervised Learning
Mamshad Nayeem Rizve
Kevin Duarte
Y. S. Rawat
M. Shah
220
509
0
15 Jan 2021
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
285
9,136
0
06 Jun 2015
1