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06/20/2023
Guideline for Trustworthy Artificial Intelligence – AI Assessment Catalog
Artificial Intelligence (AI) has made impressive progress in recent year...
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05/02/2022
A Survey on Uncertainty Toolkits for Deep Learning
The success of deep learning (DL) fostered the creation of unifying fram...
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04/29/2022
Tailored Uncertainty Estimation for Deep Learning Systems
Uncertainty estimation bears the potential to make deep learning (DL) sy...
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04/22/2021
Patch Shortcuts: Interpretable Proxy Models Efficiently Find Black-Box Vulnerabilities
An important pillar for safe machine learning (ML) is the systematic mit...
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01/08/2021
Approaching Neural Network Uncertainty Realism
Statistical models are inherently uncertain. Quantifying or at least upp...
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01/07/2021
A Novel Regression Loss for Non-Parametric Uncertainty Optimization
Quantification of uncertainty is one of the most promising approaches to...
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12/23/2020
Second-Moment Loss: A Novel Regression Objective for Improved Uncertainties
Quantification of uncertainty is one of the most promising approaches to...
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12/17/2020
DenseHMM: Learning Hidden Markov Models by Learning Dense Representations
We propose DenseHMM - a modification of Hidden Markov Models (HMMs) that...
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07/10/2020
Characteristics of Monte Carlo Dropout in Wide Neural Networks
Monte Carlo (MC) dropout is one of the state-of-the-art approaches for u...
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07/09/2018