ResearchTrend.AI
  • Communities
  • Connect sessions
  • AI calendar
  • Organizations
  • Join Slack
  • Contact Sales
Papers
Communities
Social Events
Terms and Conditions
Pricing
Contact Sales
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2012.03082
  4. Cited By
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"

6 / 6 papers shown
Title
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
150
14
0
23 May 2023
Training, Architecture, and Prior for Deterministic Uncertainty Methods
Training, Architecture, and Prior for Deterministic Uncertainty Methods
Bertrand Charpentier
Chenxiang Zhang
Stephan Günnemann
UQCVOODAI4CE
196
8
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
188
6
0
21 Jul 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
221
21
0
10 Dec 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
353
203
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
258
176
0
05 Apr 2019
1