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Confidence Calibration for Intent Detection via Hyperspherical Space and
  Rebalanced Accuracy-Uncertainty Loss

Confidence Calibration for Intent Detection via Hyperspherical Space and Rebalanced Accuracy-Uncertainty Loss

17 March 2022
Yantao Gong
Cao Liu
Fan Yang
Xunliang Cai
Guanglu Wan
Jiansong Chen
Weipeng Zhang
Houfeng Wang
    UQCV
ArXivPDFHTML

Papers citing "Confidence Calibration for Intent Detection via Hyperspherical Space and Rebalanced Accuracy-Uncertainty Loss"

4 / 4 papers shown
Title
Learning to Cascade: Confidence Calibration for Improving the Accuracy
  and Computational Cost of Cascade Inference Systems
Learning to Cascade: Confidence Calibration for Improving the Accuracy and Computational Cost of Cascade Inference Systems
Shohei Enomoto
Takeharu Eda
UQCV
41
17
0
15 Apr 2021
From Black-box to White-box: Examining Confidence Calibration under
  different Conditions
From Black-box to White-box: Examining Confidence Calibration under different Conditions
Franziska Schwaiger
Maximilian Henne
Fabian Küppers
Felippe Schmoeller da Roza
Karsten Roscher
Anselm Haselhoff
21
10
0
08 Jan 2021
Improving model calibration with accuracy versus uncertainty
  optimization
Improving model calibration with accuracy versus uncertainty optimization
R. Krishnan
Omesh Tickoo
UQCV
188
157
0
14 Dec 2020
Efficient Intent Detection with Dual Sentence Encoders
Efficient Intent Detection with Dual Sentence Encoders
I. Casanueva
Tadas Temvcinas
D. Gerz
Matthew Henderson
Ivan Vulić
VLM
180
451
0
10 Mar 2020
1