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Toward Optimal Probabilistic Active Learning Using a Bayesian Approach

Toward Optimal Probabilistic Active Learning Using a Bayesian Approach

2 June 2020
D. Kottke
M. Herde
Christoph Sandrock
Denis Huseljic
G. Krempl
Bernhard Sick
ArXiv (abs)PDFHTML

Papers citing "Toward Optimal Probabilistic Active Learning Using a Bayesian Approach"

5 / 5 papers shown
Title
Criteria for Uncertainty-based Corner Cases Detection in Instance
  Segmentation
Criteria for Uncertainty-based Corner Cases Detection in Instance Segmentation
Florian Heidecker
A. El-khateeb
Maarten Bieshaar
Bernhard Sick
87
0
0
17 Apr 2024
Unraveling the Complexity of Splitting Sequential Data: Tackling
  Challenges in Video and Time Series Analysis
Unraveling the Complexity of Splitting Sequential Data: Tackling Challenges in Video and Time Series Analysis
Diego Botache
Kristina Dingel
Rico Huhnstock
A. Ehresmann
Bernhard Sick
45
1
0
26 Jul 2023
Space, Time, and Interaction: A Taxonomy of Corner Cases in Trajectory
  Datasets for Automated Driving
Space, Time, and Interaction: A Taxonomy of Corner Cases in Trajectory Datasets for Automated Driving
Kevin Rösch
Florian Heidecker
Julian Truetsch
K. Kowol
Clemens Schicktanz
Maarten Bieshaar
Bernhard Sick
Christoph Stiller
44
8
0
17 Oct 2022
Efficient Bayesian Updates for Deep Learning via Laplace Approximations
Efficient Bayesian Updates for Deep Learning via Laplace Approximations
Denis Huseljic
M. Herde
Lukas Rauch
Paul Hahn
Zhixin Huang
D. Kottke
S. Vogt
Bernhard Sick
BDL
69
0
0
12 Oct 2022
A Survey on Cost Types, Interaction Schemes, and Annotator Performance
  Models in Selection Algorithms for Active Learning in Classification
A Survey on Cost Types, Interaction Schemes, and Annotator Performance Models in Selection Algorithms for Active Learning in Classification
M. Herde
Denis Huseljic
Bernhard Sick
A. Calma
89
25
0
23 Sep 2021
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