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Perception and Semantic Aware Regularization for Sequential Confidence
  Calibration

Perception and Semantic Aware Regularization for Sequential Confidence Calibration

31 May 2023
Zhenghua Peng
Yuanmao Luo
Tianshui Chen
Keke Xu
Shuangping Huang
    AI4TS
ArXivPDFHTML

Papers citing "Perception and Semantic Aware Regularization for Sequential Confidence Calibration"

11 / 11 papers shown
Title
Disentangling Writer and Character Styles for Handwriting Generation
Disentangling Writer and Character Styles for Handwriting Generation
Gang Dai
Yifan Zhang
Qingfeng Wang
Qing Du
Zhu Liang Yu
Zhuoman Liu
Shuangping Huang
32
19
0
26 Mar 2023
Context-Aware Selective Label Smoothing for Calibrating Sequence
  Recognition Model
Context-Aware Selective Label Smoothing for Calibrating Sequence Recognition Model
Shuangping Huang
Y. Luo
Zhenzhou Zhuang
Jin-Gang Yu
Mengchao He
Yongpan Wang
30
8
0
13 Mar 2023
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
29
16
0
15 Apr 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
203
501
0
15 Jan 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
18
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
172
140
0
14 Dec 2020
Calibration of Pre-trained Transformers
Calibration of Pre-trained Transformers
Shrey Desai
Greg Durrett
UQLM
234
288
0
17 Mar 2020
Confidence Regularized Self-Training
Confidence Regularized Self-Training
Yang Zou
Zhiding Yu
Xiaofeng Liu
B. Kumar
Jinsong Wang
207
783
0
26 Aug 2019
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
268
5,635
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
247
9,042
0
06 Jun 2015
Spatial Transformer Networks
Spatial Transformer Networks
Max Jaderberg
Karen Simonyan
Andrew Zisserman
Koray Kavukcuoglu
124
7,284
0
05 Jun 2015
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