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Uncertainty-Aware Attention for Reliable Interpretation and Prediction

Uncertainty-Aware Attention for Reliable Interpretation and Prediction

24 May 2018
Jay Heo
Haebeom Lee
Saehoon Kim
Juho Lee
Kwang Joon Kim
Eunho Yang
Sung Ju Hwang
    OOD
ArXivPDFHTML

Papers citing "Uncertainty-Aware Attention for Reliable Interpretation and Prediction"

19 / 19 papers shown
Title
A3Rank: Augmentation Alignment Analysis for Prioritizing Overconfident
  Failing Samples for Deep Learning Models
A3Rank: Augmentation Alignment Analysis for Prioritizing Overconfident Failing Samples for Deep Learning Models
Zhengyuan Wei
Haipeng Wang
Qili Zhou
William Chan
34
0
0
19 Jul 2024
Can Attention Be Used to Explain EHR-Based Mortality Prediction Tasks: A
  Case Study on Hemorrhagic Stroke
Can Attention Be Used to Explain EHR-Based Mortality Prediction Tasks: A Case Study on Hemorrhagic Stroke
Qizhang Feng
Jiayi Yuan
F. B. Emdad
Karim Hanna
Xia Hu
Zhe He
22
4
0
04 Aug 2023
Robust and Explainable Identification of Logical Fallacies in Natural
  Language Arguments
Robust and Explainable Identification of Logical Fallacies in Natural Language Arguments
Zhivar Sourati
Vishnu Priya Prasanna Venkatesh
D. Deshpande
Himanshu Rawlani
Filip Ilievski
Hông-Ân Sandlin
Alain Mermoud
AAML
31
20
0
12 Dec 2022
Uncertainty-Aware Image Captioning
Uncertainty-Aware Image Captioning
Zhengcong Fei
Mingyuan Fan
Li Zhu
Junshi Huang
Xiaoming Wei
Xiaolin K. Wei
UQLM
23
10
0
30 Nov 2022
Calibration Meets Explanation: A Simple and Effective Approach for Model
  Confidence Estimates
Calibration Meets Explanation: A Simple and Effective Approach for Model Confidence Estimates
Dongfang Li
Baotian Hu
Qingcai Chen
16
8
0
06 Nov 2022
Uncertainty-aware Multi-modal Learning via Cross-modal Random Network
  Prediction
Uncertainty-aware Multi-modal Learning via Cross-modal Random Network Prediction
Hu Wang
Jianpeng Zhang
Yuanhong Chen
Congbo Ma
Jodie Avery
Louise Hull
G. Carneiro
UQCV
21
18
0
22 Jul 2022
Trusted Multi-View Classification with Dynamic Evidential Fusion
Trusted Multi-View Classification with Dynamic Evidential Fusion
Zongbo Han
Changqing Zhang
Huazhu Fu
Qiufeng Wang
EDL
37
219
0
25 Apr 2022
Explainable Deep Learning in Healthcare: A Methodological Survey from an
  Attribution View
Explainable Deep Learning in Healthcare: A Methodological Survey from an Attribution View
Di Jin
Elena Sergeeva
W. Weng
Geeticka Chauhan
Peter Szolovits
OOD
41
55
0
05 Dec 2021
A Survey on Epistemic (Model) Uncertainty in Supervised Learning: Recent
  Advances and Applications
A Survey on Epistemic (Model) Uncertainty in Supervised Learning: Recent Advances and Applications
Xinlei Zhou
Han Liu
Farhad Pourpanah
T. Zeng
Xizhao Wang
UQCV
UD
29
58
0
03 Nov 2021
Trusted Multi-View Classification
Trusted Multi-View Classification
Zongbo Han
Changqing Zhang
Huazhu Fu
Qiufeng Wang
EDL
31
165
0
03 Feb 2021
Enforcing Interpretability and its Statistical Impacts: Trade-offs
  between Accuracy and Interpretability
Enforcing Interpretability and its Statistical Impacts: Trade-offs between Accuracy and Interpretability
Gintare Karolina Dziugaite
Shai Ben-David
Daniel M. Roy
FaML
17
39
0
26 Oct 2020
Why have a Unified Predictive Uncertainty? Disentangling it using Deep
  Split Ensembles
Why have a Unified Predictive Uncertainty? Disentangling it using Deep Split Ensembles
U. Sarawgi
W. Zulfikar
Rishab Khincha
Pattie Maes
PER
UQCV
BDL
UD
21
7
0
25 Sep 2020
Explainable Deep Learning: A Field Guide for the Uninitiated
Explainable Deep Learning: A Field Guide for the Uninitiated
Gabrielle Ras
Ning Xie
Marcel van Gerven
Derek Doran
AAML
XAI
43
371
0
30 Apr 2020
Sequential Latent Knowledge Selection for Knowledge-Grounded Dialogue
Sequential Latent Knowledge Selection for Knowledge-Grounded Dialogue
Byeongchang Kim
Jaewoo Ahn
Gunhee Kim
BDL
44
167
0
18 Feb 2020
Confidence Calibration and Predictive Uncertainty Estimation for Deep
  Medical Image Segmentation
Confidence Calibration and Predictive Uncertainty Estimation for Deep Medical Image Segmentation
Alireza Mehrtash
W. Wells
C. Tempany
Purang Abolmaesumi
Tina Kapur
OOD
FedML
UQCV
24
265
0
29 Nov 2019
Deep learning for cardiac image segmentation: A review
Deep learning for cardiac image segmentation: A review
Chen Chen
C. Qin
Huaqi Qiu
G. Tarroni
Jinming Duan
Wenjia Bai
Daniel Rueckert
SSeg
3DV
64
675
0
09 Nov 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
276
5,683
0
05 Dec 2016
Bayesian Convolutional Neural Networks with Bernoulli Approximate
  Variational Inference
Bayesian Convolutional Neural Networks with Bernoulli Approximate Variational Inference
Y. Gal
Zoubin Ghahramani
UQCV
BDL
205
745
0
06 Jun 2015
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
287
9,156
0
06 Jun 2015
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