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UNO: Uncertainty-aware Noisy-Or Multimodal Fusion for Unanticipated
  Input Degradation

UNO: Uncertainty-aware Noisy-Or Multimodal Fusion for Unanticipated Input Degradation

6 November 2019
Junjiao Tian
W. Cheung
Nathan Glaser
Yen-Cheng Liu
Z. Kira
ArXivPDFHTML

Papers citing "UNO: Uncertainty-aware Noisy-Or Multimodal Fusion for Unanticipated Input Degradation"

7 / 7 papers shown
Title
Credibility-Aware Multi-Modal Fusion Using Probabilistic Circuits
Credibility-Aware Multi-Modal Fusion Using Probabilistic Circuits
Sahil Sidheekh
Pranuthi Tenali
Saurabh Mathur
Erik Blasch
Kristian Kersting
S. Natarajan
34
1
0
05 Mar 2024
Communication-Critical Planning via Multi-Agent Trajectory Exchange
Communication-Critical Planning via Multi-Agent Trajectory Exchange
Nathan Glaser
Z. Kira
30
2
0
10 Mar 2023
COLD Fusion: Calibrated and Ordinal Latent Distribution Fusion for
  Uncertainty-Aware Multimodal Emotion Recognition
COLD Fusion: Calibrated and Ordinal Latent Distribution Fusion for Uncertainty-Aware Multimodal Emotion Recognition
M. Tellamekala
Shahin Amiriparian
Björn W. Schuller
Elisabeth André
T. Giesbrecht
M. Valstar
23
25
0
12 Jun 2022
Trusted Multi-View Classification with Dynamic Evidential Fusion
Trusted Multi-View Classification with Dynamic Evidential Fusion
Zongbo Han
Changqing Zhang
H. Fu
Joey Tianyi Zhou
EDL
20
217
0
25 Apr 2022
Run-Time Monitoring of Machine Learning for Robotic Perception: A Survey
  of Emerging Trends
Run-Time Monitoring of Machine Learning for Robotic Perception: A Survey of Emerging Trends
Q. Rahman
Peter Corke
Feras Dayoub
OOD
27
51
0
05 Jan 2021
Posterior Re-calibration for Imbalanced Datasets
Posterior Re-calibration for Imbalanced Datasets
Junjiao Tian
Yen-Cheng Liu
Nathan Glaser
Yen-Chang Hsu
Z. Kira
13
62
0
22 Oct 2020
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
285
9,136
0
06 Jun 2015
1