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Towards calibrated and scalable uncertainty representations for neural
  networks
v1v2v3 (latest)

Towards calibrated and scalable uncertainty representations for neural networks

28 October 2019
Nabeel Seedat
Christopher Kanan
    UQCV
ArXiv (abs)PDFHTML

Papers citing "Towards calibrated and scalable uncertainty representations for neural networks"

12 / 12 papers shown
Aleatoric Uncertainty Medical Image Segmentation Estimation via Flow Matching
Aleatoric Uncertainty Medical Image Segmentation Estimation via Flow Matching
Phi Van Nguyen
Ngoc Huynh Trinh
Duy Minh Lam Nguyen
Phu Loc Nguyen
Quoc Long Tran
DiffMMedIm
141
4
0
30 Jul 2025
A Structured Review of Literature on Uncertainty in Machine Learning &
  Deep Learning
A Structured Review of Literature on Uncertainty in Machine Learning & Deep Learning
Fahimeh Fakour
Ali Mosleh
Ramin Ramezani
UQCVUDPER
413
12
0
01 Jun 2024
SACDNet: Towards Early Type 2 Diabetes Prediction with Uncertainty for
  Electronic Health Records
SACDNet: Towards Early Type 2 Diabetes Prediction with Uncertainty for Electronic Health Records
Tayyab Nasir
M. K. Malik
101
2
0
12 Jan 2023
Promises and Pitfalls of Threshold-based Auto-labeling
Promises and Pitfalls of Threshold-based Auto-labelingNeural Information Processing Systems (NeurIPS), 2022
Harit Vishwakarma
Heguang Lin
Frederic Sala
Ramya Korlakai Vinayak
224
11
0
22 Nov 2022
Data-IQ: Characterizing subgroups with heterogeneous outcomes in tabular
  data
Data-IQ: Characterizing subgroups with heterogeneous outcomes in tabular dataNeural Information Processing Systems (NeurIPS), 2022
Nabeel Seedat
Jonathan Crabbé
Ioana Bica
M. Schaar
175
33
0
24 Oct 2022
The Unreasonable Effectiveness of Deep Evidential Regression
The Unreasonable Effectiveness of Deep Evidential RegressionAAAI Conference on Artificial Intelligence (AAAI), 2022
N. Meinert
J. Gawlikowski
Alexander Lavin
UQCVEDL
630
49
0
20 May 2022
Data-SUITE: Data-centric identification of in-distribution incongruous
  examples
Data-SUITE: Data-centric identification of in-distribution incongruous examplesInternational Conference on Machine Learning (ICML), 2022
Nabeel Seedat
Jonathan Crabbé
Mihaela van der Schaar
OOD
204
16
0
17 Feb 2022
Multivariate Deep Evidential Regression
Multivariate Deep Evidential Regression
N. Meinert
Alexander Lavin
BDLPEREDLUQCV
384
30
0
13 Apr 2021
In Depth Bayesian Semantic Scene Completion
In Depth Bayesian Semantic Scene CompletionInternational Conference on Pattern Recognition (ICPR), 2020
David Gillsjö
Kalle Åström
UQCVBDL
116
1
0
16 Oct 2020
Hands-on Bayesian Neural Networks -- a Tutorial for Deep Learning Users
Hands-on Bayesian Neural Networks -- a Tutorial for Deep Learning UsersIEEE Computational Intelligence Magazine (IEEE CIM), 2020
Laurent Valentin Jospin
Wray Buntine
F. Boussaïd
Hamid Laga
Bennamoun
OODBDLUQCV
558
785
0
14 Jul 2020
MCU-Net: A framework towards uncertainty representations for decision
  support system patient referrals in healthcare contexts
MCU-Net: A framework towards uncertainty representations for decision support system patient referrals in healthcare contexts
Nabeel Seedat
OOD
206
7
0
08 Jul 2020
A Financial Service Chatbot based on Deep Bidirectional Transformers
A Financial Service Chatbot based on Deep Bidirectional TransformersFrontiers in Applied Mathematics and Statistics (FAMS), 2020
S. Yu
Yuxin Chen
Hussain Zaidi
214
40
0
17 Feb 2020
1
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