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Johannes Schneider

Efficient and Flexible Topic Modeling using Pretrained Embeddings and Bag of Sentences

Feb 18, 2023
Johannes Schneider

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A Survey of Deep Learning: From Activations to Transformers

Feb 01, 2023
Johannes Schneider, Michalis Vlachos

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* Neural Processing Letters (2022)

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Foundation models in brief: A historical, socio-technical focus

Dec 17, 2022
Johannes Schneider

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Concept-based Adversarial Attacks: Tricking Humans and Classifiers Alike

Mar 18, 2022
Johannes Schneider, Giovanni Apruzzese

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* Accepted at IEEE Symposium on Security and Privacy (S&P) Workshop on Deep Learning and Security, 2022

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Explaining Classifiers by Constructing Familiar Concepts

Mar 07, 2022
Johannes Schneider, Michail Vlachos

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* This paper is a journal version of the conference paper arXiv:2005.13630 . It adds about 60% new material. It was accepted at Machine Learning (Springer Journal) in March 2022

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The learning phases in NN: From Fitting the Majority to Fitting a Few

Feb 16, 2022
Johannes Schneider

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Towards Trustworthy AutoGrading of Short, Multi-lingual, Multi-type Answers

Jan 02, 2022
Johannes Schneider, Robin Richner, Micha Riser

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* International Journal of Artificial Intelligence in Education (Accepted)

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Domain Transformer: Predicting Samples of Unseen, Future Domains

Jun 10, 2021
Johannes Schneider

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Creativity of Deep Learning: Conceptualization and Assessment

Dec 03, 2020
Johannes Schneider, Marcus Basalla

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