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Human-in-the-loop: Towards Label Embeddings for Measuring Classification Difficulty

Human-in-the-loop: Towards Label Embeddings for Measuring Classification Difficulty

Katharina Hechinger
Christoph Koller
Xiao Xiang Zhu
Goran Kauermann
    UQCV
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Papers citing "Human-in-the-loop: Towards Label Embeddings for Measuring Classification Difficulty"

2 / 2 papers shown
Title
The Unreasonable Effectiveness of Deep Evidential Regression
The Unreasonable Effectiveness of Deep Evidential Regression
N. Meinert
J. Gawlikowski
Alexander Lavin
UQCV
EDL
170
34
0
20 May 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
29
48
0
06 Oct 2021