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Domain-specific or Uncertainty-aware models: Does it really make a
  difference for biomedical text classification?

Domain-specific or Uncertainty-aware models: Does it really make a difference for biomedical text classification?

17 July 2024
Aman Sinha
Timothee Mickus
Marianne Clausel
Mathieu Constant
X. Coubez
ArXivPDFHTML

Papers citing "Domain-specific or Uncertainty-aware models: Does it really make a difference for biomedical text classification?"

2 / 2 papers shown
Title
Uncertainty Quantification with Pre-trained Language Models: A
  Large-Scale Empirical Analysis
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
170
86
0
10 Oct 2022
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
247
9,042
0
06 Jun 2015
1