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Posterior Calibrated Training on Sentence Classification Tasks
v1v2 (latest)

Posterior Calibrated Training on Sentence Classification Tasks

Annual Meeting of the Association for Computational Linguistics (ACL), 2020
29 April 2020
Taehee Jung
Luan Tuyen Chau
Hua Cheng
L. Mentch
Thomas Schaaf
    UQCV
ArXiv (abs)PDFHTML

Papers citing "Posterior Calibrated Training on Sentence Classification Tasks"

6 / 6 papers shown
On Calibration of Speech Classification Models: Insights from
  Energy-Based Model Investigations
On Calibration of Speech Classification Models: Insights from Energy-Based Model Investigations
Yaqian Hao
Chenguang Hu
Yingying Gao
Shilei Zhang
Junlan Feng
266
1
0
26 Jun 2024
Calibration Meets Explanation: A Simple and Effective Approach for Model
  Confidence Estimates
Calibration Meets Explanation: A Simple and Effective Approach for Model Confidence EstimatesConference on Empirical Methods in Natural Language Processing (EMNLP), 2022
Dongfang Li
Baotian Hu
Qingcai Chen
190
10
0
06 Nov 2022
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 LossAAAI Conference on Artificial Intelligence (AAAI), 2022
Yantao Gong
Cao Liu
Fan Yang
Xunliang Cai
Guanglu Wan
Jiansong Chen
Weipeng Zhang
Houfeng Wang
UQCV
242
4
0
17 Mar 2022
On the Calibration of Pre-trained Language Models using Mixup Guided by
  Area Under the Margin and Saliency
On the Calibration of Pre-trained Language Models using Mixup Guided by Area Under the Margin and SaliencyAnnual Meeting of the Association for Computational Linguistics (ACL), 2022
Seohong Park
Cornelia Caragea
UQCV
284
44
0
14 Mar 2022
Learning ULMFiT and Self-Distillation with Calibration for Medical
  Dialogue System
Learning ULMFiT and Self-Distillation with Calibration for Medical Dialogue SystemInternational Conference on Natural Language and Speech Processing (ICNLSP), 2021
Shuang Ao
Xeno Acharya
200
2
0
20 Jul 2021
Joint Energy-based Model Training for Better Calibrated Natural Language
  Understanding Models
Joint Energy-based Model Training for Better Calibrated Natural Language Understanding ModelsConference of the European Chapter of the Association for Computational Linguistics (EACL), 2021
Tianxing He
Bryan McCann
Caiming Xiong
Ehsan Hosseini-Asl
181
25
0
18 Jan 2021
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