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Deep Classifiers with Label Noise Modeling and Distance Awareness

Deep Classifiers with Label Noise Modeling and Distance Awareness

6 October 2021
Vincent Fortuin
Mark Collier
F. Wenzel
J. Allingham
J. Liu
Dustin Tran
Balaji Lakshminarayanan
Jesse Berent
Rodolphe Jenatton
E. Kokiopoulou
    UQCV
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Papers citing "Deep Classifiers with Label Noise Modeling and Distance Awareness"

12 / 12 papers shown
Title
Uncertainty-Aware Trajectory Prediction via Rule-Regularized Heteroscedastic Deep Classification
Uncertainty-Aware Trajectory Prediction via Rule-Regularized Heteroscedastic Deep Classification
Kumar Manas
Christian Schlauch
Adrian Paschke
Christian Wirth
Nadja Klein
40
0
0
17 Apr 2025
Transferable Candidate Proposal with Bounded Uncertainty
Transferable Candidate Proposal with Bounded Uncertainty
Kyeongryeol Go
Kye-Hyeon Kim
24
0
0
07 Dec 2023
Understanding Pathologies of Deep Heteroskedastic Regression
Understanding Pathologies of Deep Heteroskedastic Regression
Eliot Wong-Toi
Alex Boyd
Vincent Fortuin
Stephan Mandt
UQCV
13
3
0
29 Jun 2023
Logistic-Normal Likelihoods for Heteroscedastic Label Noise
Logistic-Normal Likelihoods for Heteroscedastic Label Noise
Erik Englesson
Amir Mehrpanah
Hossein Azizpour
NoLa
24
1
0
06 Apr 2023
Massively Scaling Heteroscedastic Classifiers
Massively Scaling Heteroscedastic Classifiers
Mark Collier
Rodolphe Jenatton
Basil Mustafa
N. Houlsby
Jesse Berent
E. Kokiopoulou
26
8
0
30 Jan 2023
Assaying Out-Of-Distribution Generalization in Transfer Learning
Assaying Out-Of-Distribution Generalization in Transfer Learning
F. Wenzel
Andrea Dittadi
Peter V. Gehler
Carl-Johann Simon-Gabriel
Max Horn
...
Chris Russell
Thomas Brox
Bernt Schiele
Bernhard Schölkopf
Francesco Locatello
OOD
OODD
AAML
51
71
0
19 Jul 2022
Prior and Posterior Networks: A Survey on Evidential Deep Learning
  Methods For Uncertainty Estimation
Prior and Posterior Networks: A Survey on Evidential Deep Learning Methods For Uncertainty Estimation
Dennis Ulmer
Christian Hardmeier
J. Frellsen
BDL
UQCV
UD
EDL
PER
34
48
0
06 Oct 2021
Repulsive Deep Ensembles are Bayesian
Repulsive Deep Ensembles are Bayesian
Francesco DÁngelo
Vincent Fortuin
UQCV
BDL
46
93
0
22 Jun 2021
Correlated Input-Dependent Label Noise in Large-Scale Image
  Classification
Correlated Input-Dependent Label Noise in Large-Scale Image Classification
Mark Collier
Basil Mustafa
Efi Kokiopoulou
Rodolphe Jenatton
Jesse Berent
NoLa
178
53
0
19 May 2021
Priors in Bayesian Deep Learning: A Review
Priors in Bayesian Deep Learning: A Review
Vincent Fortuin
UQCV
BDL
29
124
0
14 May 2021
Fast Predictive Uncertainty for Classification with Bayesian Deep
  Networks
Fast Predictive Uncertainty for Classification with Bayesian Deep Networks
Marius Hobbhahn
Agustinus Kristiadi
Philipp Hennig
BDL
UQCV
76
31
0
02 Mar 2020
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
270
5,660
0
05 Dec 2016
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