{"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/kernel-based-translations-of-convolutional","title":"Kernel-based Translations of Convolutional Networks","arxiv_id":"1903.08131","date":"2019-03-19","proceeding":null,"authors":["Corinne Jones","Vincent Roulet","Zaid Harchaoui"],"abstract":"Convolutional Neural Networks, as most artificial neural networks, are\ncommonly viewed as methods different in essence from kernel-based methods. We\nprovide a systematic translation of Convolutional Neural Networks (ConvNets)\ninto their kernel-based counterparts, Convolutional Kernel Networks (CKNs), and\ndemonstrate that this perception is unfounded both formally and empirically. We\nshow that, given a Convolutional Neural Network, we can design a corresponding\nConvolutional Kernel Network, easily trainable using a new stochastic gradient\nalgorithm based on an accurate gradient computation, that performs on par with\nits Convolutional Neural Network counterpart. We present experimental results\nsupporting our claims on landmark ConvNet architectures comparing each ConvNet\nto its CKN counterpart over several parameter settings.","url_abs":"http://arxiv.org/abs/1903.08131v1","url_pdf":"http://arxiv.org/pdf/1903.08131v1.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":"kernel-based-translations-of-convolutional","repo_url":"https://github.com/cjones6/yesweckn","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":1,"framework":"pytorch","reach":null}],"tasks":[{"task_slug":"translation","task_name":"Translation"}],"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}