2 citations · 4 across the 7 of their papers we have counts for
7 papers
Shortcut Mitigation via Spurious-Positive Samples
Phuong Quynh Le, Jörg Schlötterer, Sari Sadiya +2
Shortcut mitigation strategies commonly rely on training data annotations, group-balanced held-out data or the presence of all groups, i.e., all combinations of (spurious) attribut…
Explanation format does not matter; but explanations do -- An Eggsbert study on explaining Bayesian Optimisation tasks
Tanmay Chakraborty, Marion Koelle, Jörg Schlötterer +3
Bayesian Optimisation (BO) is a family of methods for finding optimal parameters when the underlying function to be optimised is unknown. BO is used, for example, for hyperparamete…
An XAI-based Analysis of Shortcut Learning in Neural Networks
Phuong Quynh Le, Jörg Schlötterer, Christin Seifert
Machine learning models tend to learn spurious features - features that strongly correlate with target labels but are not causal. Existing approaches to mitigate models' dependence…
Behavioral Analysis of Information Salience in Large Language Models
Jan Trienes, Jörg Schlötterer, Junyi Jessy Li +1
Large Language Models (LLMs) excel at text summarization, a task that requires models to select content based on its importance. However, the exact notion of salience that LLMs hav…
Investigating the Impact of Randomness on Reproducibility in Computer Vision: A Study on Applications in Civil Engineering and Medicine
Bahadır Eryılmaz, Osman Alperen Koraş, Jörg Schlötterer +1
Reproducibility is essential for scientific research. However, in computer vision, achieving consistent results is challenging due to various factors. One influential, yet often un…
Patch-based Intuitive Multimodal Prototypes Network (PIMPNet) for Alzheimer's Disease classification
Lisa Anita De Santi, Jörg Schlötterer, Meike Nauta +2
Volumetric neuroimaging examinations like structural Magnetic Resonance Imaging (sMRI) are routinely applied to support the clinical diagnosis of dementia like Alzheimer's Disease…