{"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/detecting-and-correcting-for-label-shift-with","title":"Detecting and Correcting for Label Shift with Black Box Predictors","arxiv_id":"1802.03916","date":"2018-02-12","proceeding":"ICML 2018 7","authors":["Zachary C. Lipton","Yu-Xiang Wang","Alex Smola"],"abstract":"Faced with distribution shift between training and test set, we wish to\ndetect and quantify the shift, and to correct our classifiers without test set\nlabels. Motivated by medical diagnosis, where diseases (targets) cause symptoms\n(observations), we focus on label shift, where the label marginal $p(y)$\nchanges but the conditional $p(x| y)$ does not. We propose Black Box Shift\nEstimation (BBSE) to estimate the test distribution $p(y)$. BBSE exploits\narbitrary black box predictors to reduce dimensionality prior to shift\ncorrection. While better predictors give tighter estimates, BBSE works even\nwhen predictors are biased, inaccurate, or uncalibrated, so long as their\nconfusion matrices are invertible. We prove BBSE's consistency, bound its\nerror, and introduce a statistical test that uses BBSE to detect shift. We also\nleverage BBSE to correct classifiers. Experiments demonstrate accurate\nestimates and improved prediction, even on high-dimensional datasets of natural\nimages.","url_abs":"http://arxiv.org/abs/1802.03916v3","url_pdf":"http://arxiv.org/pdf/1802.03916v3.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":"detecting-and-correcting-for-label-shift-with","repo_url":"https://github.com/bbwang1030/half-kfn","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"jax","reach":null},{"paper_slug":"detecting-and-correcting-for-label-shift-with","repo_url":"https://github.com/levon003/cscw-caringbridge-interaction-network","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":{"status":"unanswered"}}],"tasks":[{"task_slug":"medical-diagnosis","task_name":"Medical Diagnosis"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":"https://app.syntology.ai/?focus=1802.03916","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"1802.03916"}},"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/bbwang1030/half-kfn","reach":null},{"provenance":"external:paperswithcode_snapshot_2025-07-28","url":"https://github.com/levon003/cscw-caringbridge-interaction-network","reach":{"status":"unanswered"}}],"summary":{"ran_honours":1,"ran_draft_wrong":1,"unverified":3},"by_repo_kind":{"listed":{"samples":5,"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":5,"samples":[{"code_sha256_prefix":"dc5beb6794ffee14","entry":"clamp","repo":"bbwang1030/half-kfn","repo_kind":"listed","path":"halfkfn.py","file_url":"https://github.com/bbwang1030/half-kfn/blob/HEAD/halfkfn.py","link_basis":"first_harvest_node","language":"python","status":"ran_honours","verification_level":1,"contract_check":"HONOURS","metamorphic_tier":"well_formed","behaviour_fingerprint":true,"licence":"NONE","inline_ok":false,"mcp_get_code":{"code_sha256":"dc5beb6794ffee14"}},{"code_sha256_prefix":"8f9ed890ba3963a5","entry":"colorscale","repo":"bbwang1030/half-kfn","repo_kind":"listed","path":"halfkfn.py","file_url":"https://github.com/bbwang1030/half-kfn/blob/HEAD/halfkfn.py","link_basis":"first_harvest_node","language":"python","status":"ran_draft_wrong","verification_level":1,"contract_check":"OUTPUT_MISDECLARED","metamorphic_tier":"deterministic","behaviour_fingerprint":false,"licence":"NONE","inline_ok":false,"mcp_get_code":{"code_sha256":"8f9ed890ba3963a5"}},{"code_sha256_prefix":"ba24376d82f40ac8","entry":"loadData","repo":"bbwang1030/half-kfn","repo_kind":"listed","path":"utils/data_utils.py","file_url":"https://github.com/bbwang1030/half-kfn/blob/HEAD/utils/data_utils.py","link_basis":"first_harvest_node","language":"python","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"NONE","inline_ok":false,"mcp_get_code":{"code_sha256":"ba24376d82f40ac8"}},{"code_sha256_prefix":"3d064fb481b21587","entry":"loadDatatrain","repo":"bbwang1030/half-kfn","repo_kind":"listed","path":"utils/data_utils.py","file_url":"https://github.com/bbwang1030/half-kfn/blob/HEAD/utils/data_utils.py","link_basis":"first_harvest_node","language":"python","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"NONE","inline_ok":false,"mcp_get_code":{"code_sha256":"3d064fb481b21587"}},{"code_sha256_prefix":"54e6732a6a26db2f","entry":"loadModel","repo":"bbwang1030/half-kfn","repo_kind":"listed","path":"utils/data_utils.py","file_url":"https://github.com/bbwang1030/half-kfn/blob/HEAD/utils/data_utils.py","link_basis":"first_harvest_node","language":"python","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"NONE","inline_ok":false,"mcp_get_code":{"code_sha256":"54e6732a6a26db2f"}}]},"arxiv_metadata":null,"syntology_extracted_results":null}