Granitzer, Michael

8 publications

TMLR 2025 Studying Memorization of Large Language Models Using Answers to Stack Overflow Questions Laura Caspari, Alexander Trautsch, Michael Granitzer, Steffen Herbold

ECML-PKDD 2024 LLMs in the Loop: Leveraging Large Language Model Annotations for Active Learning in Low-Resource Languages Nataliia Kholodna, Sahib Julka, Mohammad Khodadadi, Muhammed Nurullah Gumus, Michael Granitzer

NeurIPSW 2023 FaDE: Fast DARTS Estimator on Hierarchical NAS Spaces Simon Neumeyer, Julian Stier, Michael Granitzer

ICMLW 2023 Learn from One Specialized Sub-Teacher: One-to-One Mapping for Feature-Based Knowledge Distillation Khouloud Saadi, Jelena Mitrović, Michael Granitzer

NeurIPSW 2023 Towards Measuring Representational Similarity of Large Language Models Max Klabunde, Mehdi Ben Amor, Michael Granitzer, Florian Lemmerich

AISTATS 2022 The Importance of Future Information in Credit Card Fraud Detection Van Bach Nguyen, Kanishka Ghosh Dastidar, Michael Granitzer, Wissam Siblini

ECML-PKDD 2022 Deep Active Learning for Detection of Mercury's Bow Shock and Magnetopause Crossings Sahib Julka, Nikolas Kirschstein, Michael Granitzer, Alexander Lavrukhin, Ute V. Amerstorfer

ECML-PKDD 2021 Methods for Automatic Machine-Learning Workflow Analysis Lorenz Wendlinger, Emanuel Berndl, Michael Granitzer