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Sarah Fabi
ORCID
Publication Activity (10 Years)
Years Active: 2020-2023
Publications (10 Years): 12
Top Topics
Sequence Classification
Human Behavior
Efficient Learning
Ai Systems
Top Venues
CoRR
CogSci
ESANN
ICANN (2)
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Publications
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Sarah Fabi
,
Sebastian Otte
,
Fedor Scholz
,
Julius Wührer
,
Matthias Karlbauer
,
Martin V. Butz
Extending the Omniglot Challenge: Imitating Handwriting Styles on a New Sequential Data Set.
IEEE Trans. Cogn. Dev. Syst.
15 (2) (2023)
Thilo Hagendorff
,
Sarah Fabi
,
Michal Kosinski
Human-like intuitive behavior and reasoning biases emerged in large language models but disappeared in ChatGPT.
Nat. Comput. Sci.
3 (10) (2023)
Thilo Hagendorff
,
Sarah Fabi
Human-Like Intuitive Behavior and Reasoning Biases Emerged in Language Models - and Disappeared in GPT-4.
CoRR
(2023)
Thilo Hagendorff
,
Sarah Fabi
Methodological reflections for AI alignment research using human feedback.
CoRR
(2023)
Sarah Fabi
,
Xiaojing Xu
,
Virginia de Sa
Exploring the Racial Bias in Pain Detection with a Computer Vision Model.
CogSci
(2022)
Sarah Fabi
,
Thilo Hagendorff
Why we need biased AI - How including cognitive and ethical machine biases can enhance AI systems.
CoRR
(2022)
Thilo Hagendorff
,
Sarah Fabi
,
Michal Kosinski
Machine intuition: Uncovering human-like intuitive decision-making in GPT-3.5.
CoRR
(2022)
Sarah Fabi
,
Lena Holzwarth
,
Martin V. Butz
Efficient learning through compositionality in a CNN-RNN model consisting of a bottom-up and a top-down pathway.
CogSci
(2022)
Sarah Fabi
,
Sebastian Otte
,
Martin V. Butz
Fostering Compositionality in Latent, Generative Encodings to Solve the Omniglot Challenge.
ICANN (2)
(2021)
Sarah Fabi
,
Sebastian Otte
,
Jonas Gregor Wiese
,
Martin V. Butz
Investigating Efficient Learning and Compositionality in Generative LSTM Networks.
ICANN (1)
(2020)
Marius Hobbhahn
,
Martin V. Butz
,
Sarah Fabi
,
Sebastian Otte
Sequence Classification using Ensembles of Recurrent Generative Expert Modules.
ESANN
(2020)
Sarah Fabi
,
Sebastian Otte
,
Jonas Gregor Wiese
,
Martin V. Butz
Investigating Efficient Learning and Compositionality in Generative LSTM Networks.
CoRR
(2020)