{"about":{"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.","site":"https://codewithpapers.app","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","syntology":{"site":"https://syntology.ai","developers":"https://syntology.ai/developers","mcp":{"server":"https://syntology.ai/mcp","transport":"streamable-http","server_card":"https://syntology.ai/.well-known/mcp/server-card.json","auth":{"type":"trial token, no account","trial_token":"https://syntology.ai/api/oauth/trial/token","method":"POST","docs":"https://syntology.ai/developers"}},"have":"https://syntology.ai/api/graph/have?x=<method, arXiv id or title> (free, answers coverage only)","paper_base":"https://syntology.ai/paper/","atlas_base":"https://app.syntology.ai/?focus="},"machine_readable":[{"url":"https://codewithpapers.app/llms.txt","what":"the machine catalog: every machine-readable file, counted"},{"url":"https://codewithpapers.app/index/manifest.json","what":"paper-to-code index by arXiv id, with Syntology's counts"},{"url":"https://codewithpapers.app/search/manifest.json","what":"site search index (titles, authors) and its files"},{"url":"https://codewithpapers.app/download","what":"bulk files: Syntology's layer, described there"},{"url":"https://codewithpapers.app/build_manifest.json","what":"the build record: inputs, counts, exclusions, probes"}]},"url":"/task/extreme-multi-label-classification/papers/ran/1","list_of":"/task/extreme-multi-label-classification","task":"Extreme Multi-Label Classification","archive":{"snapshot":"2025-07-28"},"key_notes":{"n_ran_checked":"legacy name, kept unchanged so existing readers do not break: it counts the samples that ran with no instrument failure (honoured, violated, and ran with no contract checked); it does not mean a contract was checked, and the pages print it as 'K with no instrument failure', not 'K checked'","n_constructed":"a sub-count of the samples that ran, never subtracted from them and never a failure: an executed sample whose run returned an instance of its own class (fixture_out_type equals the entry name): the run built an object and did not compute a result (Syntology's RAN record, counts.constructed)"},"syntology_read_at":"2026-09-28T10:30:06+00:00","order":"ran","order_definition":"only papers where Syntology ran at least one harvested sample; date (newest first), ties by arXiv id","caption":"We ran code from the paper's repository; we did not run it on this task or check it against the task's benchmarks.","absence":"A paper missing from this list is not a recorded non-run: it may have no arXiv id, no harvested code, or only samples that have not run yet.","page":1,"pages_in_order":1,"rows_per_page":100,"rows":[1,9],"of":9,"counts":{"archive_papers_tagged":75,"with_a_code_link":31,"where_syntology_ran_a_sample":9,"not_listed_spam_title":0,"listed":75,"listed_where_code_ran":9,"where_syntology_ran_a_sample_split":{"with_a_run_with_no_instrument_failure":6,"every_run_a_failure_of_syntologys_instrument":3,"listed_with_a_run_with_no_instrument_failure":6,"listed_every_run_a_failure_of_syntologys_instrument":3,"filter":{"states":["a run with no instrument failure","any run, instrument failures included"],"default":"a run with no instrument failure","note":"on the 'only where code ran' pages the default hides, in the browser, the rows where every run was a failure of Syntology's instrument; the second state shows them again. Rows are hidden, never re-ordered; these twins list every row"}},"definition":"distinct papers the archive tags; 'where Syntology ran a sample' counts papers with at least one harvested sample that ran, which is not a correctness claim"},"first_page":"/task/extreme-multi-label-classification/papers/ran/1","prev":null,"next":null,"papers":[{"url":"/paper/generalized-test-utilities-for-long-tail","slug":"generalized-test-utilities-for-long-tail","title":"Generalized test utilities for long-tail performance in extreme multi-label classification","date":"2023-11-09","arxiv_id":"2311.05081","repositories_listed":2,"syntology":{"n":40,"n_ran":17,"n_constructed":1,"n_ran_checked":5,"n_instrument":12,"n_unverified":23,"n_honours":3,"n_violates":1,"n_no_contract":1,"n_pointer_only":0,"phrase":"17 ran (of which 1 constructed an object rather than computing a result; 5 with no instrument failure: 3 honoured, 1 violated, 1 with no contract checked; 12 where Syntology's instrument failed) · 23 unverified","sample_list":"/paper/generalized-test-utilities-for-long-tail#ran","syntology_url":"https://syntology.ai/paper/2311.05081","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2311.05081"}},"official":{"repos":["mwydmuch/xcolumns"],"state":"community repositories only","n_ran":0,"n_constructed":0,"n_ran_no_instrument_failure":0,"n_unverified":0,"ran_from_kinds":["listed"]}}},{"url":"/paper/pina-leveraging-side-information-in-extreme","slug":"pina-leveraging-side-information-in-extreme","title":"PINA: Leveraging Side Information in eXtreme Multi-label Classification via Predicted Instance Neighborhood Aggregation","date":"2023-05-21","arxiv_id":"2305.12349","repositories_listed":1,"syntology":{"n":1,"n_ran":1,"n_constructed":0,"n_ran_checked":0,"n_instrument":1,"n_unverified":0,"n_honours":0,"n_violates":0,"n_no_contract":0,"n_pointer_only":0,"phrase":"1 ran (of which 0 constructed an object rather than computing a result; 0 with no instrument failure: 0 honoured, 0 violated, 0 with no contract checked; 1 where Syntology's instrument failed) · 0 unverified","sample_list":"/paper/pina-leveraging-side-information-in-extreme#ran","syntology_url":"https://syntology.ai/paper/2305.12349","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2305.12349"}},"official":{"repos":["amzn/pecos"],"state":"official (archive's flag): 1 ran","n_ran":1,"n_constructed":0,"n_ran_no_instrument_failure":0,"n_unverified":0,"ran_from_kinds":["official"]}}},{"url":"/paper/end-to-end-learning-to-index-and-search-in","slug":"end-to-end-learning-to-index-and-search-in","title":"ELIAS: End-to-End Learning to Index and Search in Large Output Spaces","date":"2022-10-16","arxiv_id":"2210.08410","repositories_listed":1,"syntology":{"n":11,"n_ran":7,"n_constructed":1,"n_ran_checked":3,"n_instrument":4,"n_unverified":4,"n_honours":1,"n_violates":0,"n_no_contract":2,"n_pointer_only":11,"phrase":"7 ran (of which 1 constructed an object rather than computing a result; 3 with no instrument failure: 1 honoured, 0 violated, 2 with no contract checked; 4 where Syntology's instrument failed) · 4 unverified","sample_list":"/paper/end-to-end-learning-to-index-and-search-in#ran","syntology_url":"https://syntology.ai/paper/2210.08410","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2210.08410"}},"official":{"repos":["nilesh2797/elias"],"state":"official (archive's flag): 7 ran","n_ran":7,"n_constructed":1,"n_ran_no_instrument_failure":3,"n_unverified":4,"ran_from_kinds":["official"]}}},{"url":"/paper/node-feature-extraction-by-self-supervised-1","slug":"node-feature-extraction-by-self-supervised-1","title":"Node Feature Extraction by Self-Supervised Multi-scale Neighborhood Prediction","date":"2021-10-29","arxiv_id":"2111.00064","repositories_listed":4,"syntology":{"n":20,"n_ran":17,"n_constructed":0,"n_ran_checked":15,"n_instrument":2,"n_unverified":3,"n_honours":3,"n_violates":0,"n_no_contract":12,"n_pointer_only":2,"phrase":"17 ran (of which 0 constructed an object rather than computing a result; 15 with no instrument failure: 3 honoured, 0 violated, 12 with no contract checked; 2 where Syntology's instrument failed) · 3 unverified","sample_list":"/paper/node-feature-extraction-by-self-supervised-1#ran","syntology_url":"https://syntology.ai/paper/2111.00064","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2111.00064"}},"official":{"repos":["amzn/pecos"],"state":"official (archive's flag): 4 ran","n_ran":4,"n_constructed":0,"n_ran_no_instrument_failure":3,"n_unverified":0,"ran_from_kinds":["listed","official"]}}},{"url":"/paper/propensity-scored-probabilistic-label-trees","slug":"propensity-scored-probabilistic-label-trees","title":"Propensity-scored Probabilistic Label Trees","date":"2021-10-20","arxiv_id":"2110.10803","repositories_listed":1,"syntology":{"n":9,"n_ran":6,"n_constructed":0,"n_ran_checked":6,"n_instrument":0,"n_unverified":3,"n_honours":0,"n_violates":0,"n_no_contract":6,"n_pointer_only":0,"phrase":"6 ran (of which 0 constructed an object rather than computing a result; 6 with no instrument failure: 0 honoured, 0 violated, 6 with no contract checked; 0 where Syntology's instrument failed) · 3 unverified","sample_list":"/paper/propensity-scored-probabilistic-label-trees#ran","syntology_url":"https://syntology.ai/paper/2110.10803","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2110.10803"}},"official":{"repos":["mwydmuch/napkinXC"],"state":"official (archive's flag): 6 ran","n_ran":6,"n_constructed":0,"n_ran_no_instrument_failure":6,"n_unverified":3,"ran_from_kinds":["official"]}}},{"url":"/paper/decaf-deep-extreme-classification-with-label","slug":"decaf-deep-extreme-classification-with-label","title":"DECAF: Deep Extreme Classification with Label Features","date":"2021-08-01","arxiv_id":"2108.00368","repositories_listed":1,"syntology":{"n":1,"n_ran":1,"n_constructed":0,"n_ran_checked":1,"n_instrument":0,"n_unverified":0,"n_honours":1,"n_violates":0,"n_no_contract":0,"n_pointer_only":1,"phrase":"1 ran (of which 0 constructed an object rather than computing a result; 1 with no instrument failure: 1 honoured, 0 violated, 0 with no contract checked; 0 where Syntology's instrument failed) · 0 unverified","sample_list":"/paper/decaf-deep-extreme-classification-with-label#ran","syntology_url":"https://syntology.ai/paper/2108.00368","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2108.00368"}},"official":{"repos":["Extreme-classification/DECAF"],"state":"official: no sample here; runs from other or unrecorded repositories","n_ran":0,"n_constructed":0,"n_ran_no_instrument_failure":0,"n_unverified":0,"ran_from_kinds":["unlocated"]}}},{"url":"/paper/eclare-extreme-classification-with-label","slug":"eclare-extreme-classification-with-label","title":"ECLARE: Extreme Classification with Label Graph Correlations","date":"2021-07-31","arxiv_id":"2108.00261","repositories_listed":1,"syntology":{"n":1,"n_ran":1,"n_constructed":0,"n_ran_checked":1,"n_instrument":0,"n_unverified":0,"n_honours":1,"n_violates":0,"n_no_contract":0,"n_pointer_only":0,"phrase":"1 ran (of which 0 constructed an object rather than computing a result; 1 with no instrument failure: 1 honoured, 0 violated, 0 with no contract checked; 0 where Syntology's instrument failed) · 0 unverified","sample_list":"/paper/eclare-extreme-classification-with-label#ran","syntology_url":"https://syntology.ai/paper/2108.00261","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2108.00261"}},"official":{"repos":["Extreme-classification/ECLARE"],"state":"official (archive's flag): 1 ran","n_ran":1,"n_constructed":0,"n_ran_no_instrument_failure":1,"n_unverified":0,"ran_from_kinds":["official"]}}},{"url":"/paper/a-modular-deep-learning-approach-for-extreme","slug":"a-modular-deep-learning-approach-for-extreme","title":"Taming Pretrained Transformers for Extreme Multi-label Text Classification","date":"2019-05-07","arxiv_id":"1905.02331","repositories_listed":2,"syntology":{"n":1,"n_ran":1,"n_constructed":0,"n_ran_checked":0,"n_instrument":1,"n_unverified":0,"n_honours":0,"n_violates":0,"n_no_contract":0,"n_pointer_only":0,"phrase":"1 ran (of which 0 constructed an object rather than computing a result; 0 with no instrument failure: 0 honoured, 0 violated, 0 with no contract checked; 1 where Syntology's instrument failed) · 0 unverified","sample_list":"/paper/a-modular-deep-learning-approach-for-extreme#ran","syntology_url":"https://syntology.ai/paper/1905.02331","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"1905.02331"}},"official":{"repos":["OctoberChang/X-Transformer"],"state":"official (archive's flag): 1 ran","n_ran":1,"n_constructed":0,"n_ran_no_instrument_failure":0,"n_unverified":0,"ran_from_kinds":["official"]}}},{"url":"/paper/dismec-distributed-sparse-machines-for","slug":"dismec-distributed-sparse-machines-for","title":"DiSMEC - Distributed Sparse Machines for Extreme Multi-label Classification","date":"2016-09-08","arxiv_id":"1609.02521","repositories_listed":2,"syntology":{"n":2,"n_ran":2,"n_constructed":0,"n_ran_checked":0,"n_instrument":2,"n_unverified":0,"n_honours":0,"n_violates":0,"n_no_contract":0,"n_pointer_only":2,"phrase":"2 ran (of which 0 constructed an object rather than computing a result; 0 with no instrument failure: 0 honoured, 0 violated, 0 with no contract checked; 2 where Syntology's instrument failed) · 0 unverified","sample_list":"/paper/dismec-distributed-sparse-machines-for#ran","syntology_url":"https://syntology.ai/paper/1609.02521","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"1609.02521"}},"official":null}}],"record_sha256":"042ba2be34ec2db80279b7c7b4617615417ee289f0a349c66d66cd22d704959f","record_changed_at":"2026-09-28","record_changed_at_basis":"first_hashed"}