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The Hidden Uncertainty in a Neural Networks Activations
v1v2 (latest)

The Hidden Uncertainty in a Neural Networks Activations

5 December 2020
Janis Postels
Hermann Blum
Yannick Strümpler
Cesar Cadena
Roland Siegwart
Luc Van Gool
Federico Tombari
    UQCV
ArXiv (abs)PDFHTML

Papers citing "The Hidden Uncertainty in a Neural Networks Activations"

13 / 13 papers shown
Deep Bayesian Active Learning for Preference Modeling in Large Language
  Models
Deep Bayesian Active Learning for Preference Modeling in Large Language ModelsNeural Information Processing Systems (NeurIPS), 2024
Luckeciano C. Melo
P. Tigas
Alessandro Abate
Yarin Gal
267
18
0
14 Jun 2024
Generative Adversarial Models for Extreme Downscaling of Climate
  Datasets
Generative Adversarial Models for Extreme Downscaling of Climate Datasets
Guiye Li
Guofeng Cao
AI4CE
171
0
0
21 Feb 2024
Discriminant Distance-Aware Representation on Deterministic Uncertainty
  Quantification Methods
Discriminant Distance-Aware Representation on Deterministic Uncertainty Quantification Methods
Jiaxin Zhang
Kamalika Das
Kumar Sricharan
UQCV
201
2
0
20 Feb 2024
Beyond Confidence: Reliable Models Should Also Consider Atypicality
Beyond Confidence: Reliable Models Should Also Consider AtypicalityNeural Information Processing Systems (NeurIPS), 2023
Mert Yuksekgonul
Linjun Zhang
James Zou
Carlos Guestrin
288
27
0
29 May 2023
Gaussian Latent Representations for Uncertainty Estimation using
  Mahalanobis Distance in Deep Classifiers
Gaussian Latent Representations for Uncertainty Estimation using Mahalanobis Distance in Deep Classifiers
A. Venkataramanan
Assia Benbihi
Martin Laviale
C´edric Pradalier
UQCV
276
17
0
23 May 2023
Robust Fusion for Bayesian Semantic Mapping
Robust Fusion for Bayesian Semantic MappingIEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2023
David Morilla-Cabello
Lorenzo Mur-Labadia
Ruben Martinez-Cantin
Eduardo Montijano
373
15
0
14 Mar 2023
Training, Architecture, and Prior for Deterministic Uncertainty Methods
Training, Architecture, and Prior for Deterministic Uncertainty Methods
Bertrand Charpentier
Chenxiang Zhang
Stephan Günnemann
UQCVOODAI4CE
374
9
0
10 Mar 2023
Generating and Detecting True Ambiguity: A Forgotten Danger in DNN
  Supervision Testing
Generating and Detecting True Ambiguity: A Forgotten Danger in DNN Supervision TestingEmpirical Software Engineering (EMSE), 2022
Michael Weiss
A. Gómez
Paolo Tonella
AAML
245
7
0
21 Jul 2022
Embodied Active Domain Adaptation for Semantic Segmentation via
  Informative Path Planning
Embodied Active Domain Adaptation for Semantic Segmentation via Informative Path PlanningIEEE Robotics and Automation Letters (RA-L), 2022
René Zurbrugg
Hermann Blum
Cesar Cadena
Roland Siegwart
L. Schmid
SSeg
232
26
0
01 Mar 2022
Hyperdimensional Feature Fusion for Out-Of-Distribution Detection
Hyperdimensional Feature Fusion for Out-Of-Distribution Detection
Samuel Wilson
Tobias Fischer
Niko Sünderhauf
Feras Dayoub
OODD
315
23
0
10 Dec 2021
Can a single neuron learn predictive uncertainty?
Can a single neuron learn predictive uncertainty?
Edgardo Solano-Carrillo
UQCV
290
1
0
07 Jun 2021
Deep Deterministic Uncertainty: A Simple Baseline
Deep Deterministic Uncertainty: A Simple BaselineComputer Vision and Pattern Recognition (CVPR), 2021
Jishnu Mukhoti
Andreas Kirsch
Joost R. van Amersfoort
Juil Sock
Y. Gal
UDUQCVPERBDL
527
234
0
23 Feb 2021
The Fishyscapes Benchmark: Measuring Blind Spots in Semantic
  Segmentation
The Fishyscapes Benchmark: Measuring Blind Spots in Semantic Segmentation
Hermann Blum
Paul-Edouard Sarlin
Juan I. Nieto
Roland Siegwart
Cesar Cadena
UQCV
469
183
0
05 Apr 2019
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