{"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/top-k-multiclass-svm","title":"Top-k Multiclass SVM","arxiv_id":"1511.06683","date":"2015-11-20","proceeding":"NeurIPS 2015 12","authors":["Maksim Lapin","Matthias Hein","Bernt Schiele"],"abstract":"Class ambiguity is typical in image classification problems with a large\nnumber of classes. When classes are difficult to discriminate, it makes sense\nto allow k guesses and evaluate classifiers based on the top-k error instead of\nthe standard zero-one loss. We propose top-k multiclass SVM as a direct method\nto optimize for top-k performance. Our generalization of the well-known\nmulticlass SVM is based on a tight convex upper bound of the top-k error. We\npropose a fast optimization scheme based on an efficient projection onto the\ntop-k simplex, which is of its own interest. Experiments on five datasets show\nconsistent improvements in top-k accuracy compared to various baselines.","url_abs":"http://arxiv.org/abs/1511.06683v1","url_pdf":"http://arxiv.org/pdf/1511.06683v1.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":"top-k-multiclass-svm","repo_url":"https://github.com/mlapin/libsdca","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":0,"framework":"none","reach":{"status":"ok","spdx":"MIT"}}],"tasks":[{"task_slug":"classification","task_name":"General Classification"},{"task_slug":"image-classification","task_name":"Image Classification"},{"task_slug":"image-classification","task_name":"image-classification"}],"methods":[{"method_slug":"svm","method_name":"SVM"}],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":"https://app.syntology.ai/?focus=1511.06683","mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}