{"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/learning-active-learning-from-data","title":"Learning Active Learning from Data","arxiv_id":"1703.03365","date":"2017-03-09","proceeding":"NeurIPS 2017 12","authors":["Ksenia Konyushkova","Raphael Sznitman","Pascal Fua"],"abstract":"In this paper, we suggest a novel data-driven approach to active learning\n(AL). The key idea is to train a regressor that predicts the expected error\nreduction for a candidate sample in a particular learning state. By formulating\nthe query selection procedure as a regression problem we are not restricted to\nworking with existing AL heuristics; instead, we learn strategies based on\nexperience from previous AL outcomes. We show that a strategy can be learnt\neither from simple synthetic 2D datasets or from a subset of domain-specific\ndata. Our method yields strategies that work well on real data from a wide\nrange of domains.","url_abs":"http://arxiv.org/abs/1703.03365v3","url_pdf":"http://arxiv.org/pdf/1703.03365v3.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":"learning-active-learning-from-data","repo_url":"https://github.com/ksenia-konyushkova/LAL","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":0,"framework":"none","reach":{"status":"ok","spdx":"Apache-2.0"}}],"tasks":[{"task_slug":"active-learning","task_name":"Active Learning"},{"task_slug":"regression-1","task_name":"regression"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"syntology_url":"https://syntology.ai/paper/1703.03365","atlas_url":"https://app.syntology.ai/?focus=1703.03365","mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}