{"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/a-scalable-saliency-based-feature-selection","title":"A scalable saliency-based Feature selection method with instance level information","arxiv_id":"1904.13127","date":"2019-04-30","proceeding":null,"authors":["Brais Cancela","Verónica Bolón-Canedo","Amparo Alonso-Betanzos","João Gama"],"abstract":"Classic feature selection techniques remove those features that are either\nirrelevant or redundant, achieving a subset of relevant features that help to\nprovide a better knowledge extraction. This allows the creation of compact\nmodels that are easier to interpret. Most of these techniques work over the\nwhole dataset, but they are unable to provide the user with successful\ninformation when only instance information is needed. In short, given any\nexample, classic feature selection algorithms do not give any information about\nwhich the most relevant information is, regarding this sample. This work aims\nto overcome this handicap by developing a novel feature selection method,\ncalled Saliency-based Feature Selection (SFS), based in deep-learning saliency\ntechniques. Our experimental results will prove that this algorithm can be\nsuccessfully used not only in Neural Networks, but also under any given\narchitecture trained by using Gradient Descent techniques.","url_abs":"http://arxiv.org/abs/1904.13127v1","url_pdf":"http://arxiv.org/pdf/1904.13127v1.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":"a-scalable-saliency-based-feature-selection","repo_url":"https://github.com/braisCB/SFS","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":0,"framework":"none","reach":null}],"tasks":[{"task_slug":"feature-selection","task_name":"feature selection"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":"https://app.syntology.ai/?focus=1904.13127","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"1904.13127"}},"developers":"https://syntology.ai/developers","read_at":"2026-09-24T18:15:14+00:00","read_at_is":"when the build read Syntology's graph, not when any sample ran","claim":"Per-sample execution status on synthesized fixtures; not a correctness claim about the paper. Samples come from repositories linked to the paper, official or community; repo_kind says which.","repos":[{"provenance":"external:paperswithcode_snapshot_2025-07-28","url":"https://github.com/braisCB/SFS","reach":null}],"summary":{"ran_draft_wrong":2},"by_repo_kind":{"official":{"samples":2,"ran":2,"repositories":1}},"repo_kind_vocabulary":{"official":"The archive marks this repository official for the paper","named_in_paper":"The archive records that the paper mentions this repository; it is not marked official","listed":"In the archive's code links for this paper, not marked official and not recorded as mentioned in the paper","found_in_text":"Syntology found this repository in the paper's own text; whether it is the authors' implementation is not asserted","community":"Not in the archive's code links for this paper; a community repository Syntology harvested"},"n_pointer_only_for_licence":2,"samples":[{"code_sha256_prefix":"b190705712730a27","entry":"get_saliency_func","repo":"braisCB/SFS","repo_kind":"official","path":"src/SFS.py","file_url":"https://github.com/braisCB/SFS/blob/HEAD/src/SFS.py","link_basis":"first_harvest_node","language":"python","status":"ran_draft_wrong","verification_level":1,"contract_check":"MISDECLARED","metamorphic_tier":"invariant","behaviour_fingerprint":false,"licence":"NONE","inline_ok":false,"mcp_get_code":{"code_sha256":"b190705712730a27"}},{"code_sha256_prefix":"b4bbac2634b2b7f1","entry":"scheduler","repo":"braisCB/SFS","repo_kind":"official","path":"scripts/deep/cifar_10/sfs.py","file_url":"https://github.com/braisCB/SFS/blob/HEAD/scripts/deep/cifar_10/sfs.py","link_basis":"first_harvest_node","language":"python","status":"ran_draft_wrong","verification_level":1,"contract_check":"OUTPUT_MISDECLARED","metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"NONE","inline_ok":false,"mcp_get_code":{"code_sha256":"b4bbac2634b2b7f1"}}]},"arxiv_metadata":null,"syntology_extracted_results":null}