{"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/181010902","title":"Learning from the Syndrome","arxiv_id":"1810.10902","date":"2018-10-23","proceeding":null,"authors":["Loren Lugosch","Warren J. Gross"],"abstract":"In this paper, we introduce the syndrome loss, an alternative loss function\nfor neural error-correcting decoders based on a relaxation of the syndrome. The\nsyndrome loss penalizes the decoder for producing outputs that do not\ncorrespond to valid codewords. We show that training with the syndrome loss\nyields decoders with consistently lower frame error rate for a number of short\nblock codes, at little additional cost during training and no additional cost\nduring inference. The proposed method does not depend on knowledge of the\ntransmitted codeword, making it a promising tool for online adaptation to\nchanging channel conditions.","url_abs":"http://arxiv.org/abs/1810.10902v1","url_pdf":"http://arxiv.org/pdf/1810.10902v1.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":"181010902","repo_url":"https://github.com/lorenlugosch/neural-min-sum-decoding","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"tf","reach":null}],"tasks":[{"task_slug":"decoder","task_name":"Decoder"},{"task_slug":null,"task_name":"valid"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}