Jan 20, 2019 · In this extended abstract, we brief introduce two knowledge graph (KG) based frameworks towards human understandable transfer learning explanation.
In this extended abstract, we brief introduce two knowl- edge graph (KG) based frameworks towards human un- derstandable transfer learning explanation. The ...
PDF | Transfer learning which aims at utilizing knowledge learned from one problem (source domain) to solve another different but related problem.
The first one explains the transferability of features learned by Convolutional Neural Network from one domain to another through pre-training and ...
Human-centric Transfer Learning Explanation via Knowledge Graph [Extended Abstract] · 20 Jan 2019 · Transfer Learning · Zero-Shot Learning ; Results of SemTab 2021.
Human-centric Transfer Learning Explanation via Knowledge Graph [Extended Abstract]. Paper presented at the AAAI-19 Workshop on Network Interpretability for ...
Jun 3, 2024 · Bibliographic details on Human-centric Transfer Learning Explanation via Knowledge Graph [Extended Abstract].
... knowledge bases for human-centric explanation of transfer learning ... Human-centric Transfer Learning Explanation via Knowledge Graph [Extended Abstract].
In this paper, we propose an ontology-based approach for human-centric explanation of transfer learning. Three kinds of knowledge-based explanatory evidence, ...
study human-centric transfer learning explanation. Conclusion and Outlook. In this study, we address the problem of human-centric transfer learning explanation.
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