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URL: A Representation Learning Benchmark for Transferable Uncertainty
  Estimates

URL: A Representation Learning Benchmark for Transferable Uncertainty Estimates

7 July 2023
Michael Kirchhof
Bálint Mucsányi
Seong Joon Oh
Enkelejda Kasneci
    UQCV
ArXivPDFHTML

Papers citing "URL: A Representation Learning Benchmark for Transferable Uncertainty Estimates"

9 / 9 papers shown
Title
Comparing Uncertainty Measurement and Mitigation Methods for Large Language Models: A Systematic Review
Comparing Uncertainty Measurement and Mitigation Methods for Large Language Models: A Systematic Review
Toghrul Abbasli
Kentaroh Toyoda
Yuan Wang
Leon Witt
Muhammad Asif Ali
Yukai Miao
Dan Li
Qingsong Wei
UQCV
92
0
0
25 Apr 2025
On the Generalization of Representation Uncertainty in Earth Observation
Spyros Kondylatos
N. Bountos
Dimitrios Michail
Xiao Xiang Zhu
Gustau Camps-Valls
Ioannis Papoutsis
74
1
0
10 Mar 2025
Legitimate ground-truth-free metrics for deep uncertainty classification scoring
Legitimate ground-truth-free metrics for deep uncertainty classification scoring
Arthur Pignet
Chiara Regniez
John Klein
72
1
0
30 Oct 2024
When does Privileged Information Explain Away Label Noise?
When does Privileged Information Explain Away Label Noise?
Guillermo Ortiz-Jiménez
Mark Collier
Anant Nawalgaria
Alexander DÁmour
Jesse Berent
Rodolphe Jenatton
E. Kokiopoulou
NoLa
164
7
0
03 Mar 2023
DEUP: Direct Epistemic Uncertainty Prediction
DEUP: Direct Epistemic Uncertainty Prediction
Salem Lahlou
Moksh Jain
Hadi Nekoei
V. Butoi
Paul Bertin
Jarrid Rector-Brooks
Maksym Korablyov
Yoshua Bengio
PER
UQLM
UQCV
UD
202
81
0
16 Feb 2021
Probabilistic Embeddings for Cross-Modal Retrieval
Probabilistic Embeddings for Cross-Modal Retrieval
Sanghyuk Chun
Seong Joon Oh
Rafael Sampaio de Rezende
Yannis Kalantidis
Diane Larlus
UQCV
404
200
0
13 Jan 2021
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
5,661
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
285
9,138
0
06 Jun 2015
Efficient Estimation of Word Representations in Vector Space
Efficient Estimation of Word Representations in Vector Space
Tomáš Mikolov
Kai Chen
G. Corrado
J. Dean
3DV
245
31,257
0
16 Jan 2013
1