Papers by Andrzej Uszok

1 papers
DomiKnowS: A Library for Integration of Symbolic Domain Knowledge in Deep Learning (2021.emnlp-demo)

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Challenge: Current deep learning architectures are data-hungry with issues mainly in generalizability and explainability.
Approach: They propose a library for the integration of domain knowledge in deep learning architectures . structure of data is expressed symbolically via graph declarations and constraints can be added to deep models .
Outcome: The proposed framework simplifies programming for integration of domain knowledge in deep learning architectures while separating the knowledge representation from learning algorithms.

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