{"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/one-time-is-not-enough-iterative-tensor","title":"MUSCO: Multi-Stage Compression of neural networks","arxiv_id":"1903.09973","date":"2019-03-24","proceeding":null,"authors":["Julia Gusak","Maksym Kholiavchenko","Evgeny Ponomarev","Larisa Markeeva","Ivan Oseledets","Andrzej Cichocki"],"abstract":"The low-rank tensor approximation is very promising for the compression of deep neural networks. We propose a new simple and efficient iterative approach, which alternates low-rank factorization with a smart rank selection and fine-tuning. We demonstrate the efficiency of our method comparing to non-iterative ones. Our approach improves the compression rate while maintaining the accuracy for a variety of tasks.","url_abs":"https://arxiv.org/abs/1903.09973v4","url_pdf":"https://arxiv.org/pdf/1903.09973v4.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":"one-time-is-not-enough-iterative-tensor","repo_url":"https://github.com/juliagusak/musco","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":1,"framework":"pytorch","reach":null},{"paper_slug":"one-time-is-not-enough-iterative-tensor","repo_url":"https://github.com/musco-ai/musco-pytorch","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":null},{"paper_slug":"one-time-is-not-enough-iterative-tensor","repo_url":"https://github.com/musco-ai/musco-tf","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"tf","reach":null}],"tasks":[{"task_slug":"neural-network-compression","task_name":"Neural Network Compression"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"syntology_url":null,"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}