{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/knowledge-based-transfer-learning-explanation","title":"Knowledge-based Transfer Learning Explanation","arxiv_id":"1807.08372","date":"2018-07-22","proceeding":null,"authors":["Jiaoyan Chen","Freddy Lecue","Jeff Z. Pan","Ian Horrocks","Huajun Chen"],"abstract":"Machine learning explanation can significantly boost machine learning's\napplication in decision making, but the usability of current methods is limited\nin human-centric explanation, especially for transfer learning, an important\nmachine learning branch that aims at utilizing knowledge from one learning\ndomain (i.e., a pair of dataset and prediction task) to enhance prediction\nmodel training in another learning domain. In this paper, we propose an\nontology-based approach for human-centric explanation of transfer learning.\nThree kinds of knowledge-based explanatory evidence, with different\ngranularities, including general factors, particular narrators and core\ncontexts are first proposed and then inferred with both local ontologies and\nexternal knowledge bases. The evaluation with US flight data and DBpedia has\npresented their confidence and availability in explaining the transferability\nof feature representation in flight departure delay forecasting.","url_abs":"http://arxiv.org/abs/1807.08372v1","url_pdf":"http://arxiv.org/pdf/1807.08372v1.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"knowledge-based-transfer-learning-explanation","repo_url":"https://github.com/ChenJiaoyan/X-TL","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":0,"framework":"tf","reach":null}],"tasks":[{"task_slug":"machine-learning","task_name":"BIG-bench Machine Learning"},{"task_slug":"decision-making","task_name":"Decision Making"},{"task_slug":"transfer-learning","task_name":"Transfer Learning"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}