{"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/common-description-learning-a-framework-for","title":"Common-Description Learning: A Framework for Learning Algorithms and Generating Subproblems from Few Examples","arxiv_id":"1605.00241","date":"2016-05-01","proceeding":null,"authors":["Basem G. El-Barashy"],"abstract":"Current learning algorithms face many difficulties in learning simple\npatterns and using them to learn more complex ones. They also require more\nexamples than humans do to learn the same pattern, assuming no prior knowledge.\nIn this paper, a new learning framework is introduced that is called\ncommon-description learning (CDL). This framework has been tested on 32 small\nmulti-task datasets, and the results show that it was able to learn complex\nalgorithms from a few number of examples. The final model is perfectly\ninterpretable and its depth depends on the question. What is meant by depth\nhere is that whenever needed, the model learns to break down the problem into\nsimpler subproblems and solves them using previously learned models. Finally,\nwe explain the capabilities of our framework in discovering complex relations\nin data and how it can help in improving language understanding in machines.","url_abs":"http://arxiv.org/abs/1605.00241v1","url_pdf":"http://arxiv.org/pdf/1605.00241v1.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":"common-description-learning-a-framework-for","repo_url":"https://github.com/BasemElbarashy/CDL","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":1,"framework":"none","reach":null}],"tasks":[],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}