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Julia E. Vogt

7 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author1
  • middle author1
  • last author5

Across the 7 of 7 papers where every author was matched, so the position is known.

fields
  • cs.LG3
  • cs.CV2
  • cs.HC1
  • eess.IV1
ORCID 0000-0002-6004-7770
same name
  • Julia E. Vogt — 5 papers, h 26

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20122024
most citedWhat Does Evaluation of Explainable Artificial Intelligence Actually Tell Us? A Case for Compositional and Contextual Validation of XAI Building Blocks

19 citations · 43 across the 7 of their papers we have counts for

collaborators
Showing cs.LGShow all

3 papers · 1 filter

cs.LG2023

Signal Is Harder To Learn Than Bias: Debiasing with Focal Loss

Moritz Vandenhirtz, Laura Manduchi, Ričards Marcinkevičs +1

Spurious correlations are everywhere. While humans often do not perceive them, neural networks are notorious for learning unwanted associations, also known as biases, instead of th…

cs.LG2023★ 4 cited

Identifiability Results for Multimodal Contrastive Learning

Imant Daunhawer, Alice Bizeul, Emanuele Palumbo +2

Contrastive learning is a cornerstone underlying recent progress in multi-view and multimodal learning, e.g., in representation learning with image/caption pairs. While its effecti…

cs.LG2012★ 12 cited

A Complete Analysis of the l_1,p Group-Lasso

Julia Vogt, Volker Roth

The Group-Lasso is a well-known tool for joint regularization in machine learning methods. While the l_{1,2} and the l_{1,\infty} version have been studied in detail and efficient…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.