{"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/long-tail-learning/papers/ran/1","list_of":"/task/long-tail-learning","task":"Long-tail Learning","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":[1,50],"of":50,"counts":{"archive_papers_tagged":131,"with_a_code_link":93,"where_syntology_ran_a_sample":50,"not_listed_spam_title":0,"listed":131,"listed_where_code_ran":50,"where_syntology_ran_a_sample_split":{"with_a_run_with_no_instrument_failure":45,"every_run_a_failure_of_syntologys_instrument":5,"listed_with_a_run_with_no_instrument_failure":45,"listed_every_run_a_failure_of_syntologys_instrument":5,"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/long-tail-learning/papers/ran/1","prev":null,"next":null,"papers":[{"url":"/paper/improving-visual-prompt-tuning-by-gaussian","slug":"improving-visual-prompt-tuning-by-gaussian","title":"Improving Visual Prompt Tuning by Gaussian Neighborhood Minimization for Long-Tailed Visual Recognition","date":"2024-10-28","arxiv_id":"2410.21042","repositories_listed":3,"syntology":{"n":8,"n_ran":3,"n_constructed":0,"n_ran_checked":3,"n_instrument":0,"n_unverified":5,"n_honours":1,"n_violates":0,"n_no_contract":2,"n_pointer_only":3,"phrase":"3 ran (of which 0 constructed an object rather than computing a result; 3 with no instrument failure: 1 honoured, 0 violated, 2 with no contract checked; 0 where Syntology's instrument failed) · 5 unverified","sample_list":"/paper/improving-visual-prompt-tuning-by-gaussian#ran","syntology_url":"https://syntology.ai/paper/2410.21042","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2410.21042"}},"official":{"repos":["keke921/gnm-pt"],"state":"official (archive's flag): 3 ran","n_ran":3,"n_constructed":0,"n_ran_no_instrument_failure":3,"n_unverified":5,"ran_from_kinds":["official"]}}},{"url":"/paper/continuous-contrastive-learning-for-long","slug":"continuous-contrastive-learning-for-long","title":"Continuous Contrastive Learning for Long-Tailed Semi-Supervised Recognition","date":"2024-10-08","arxiv_id":"2410.06109","repositories_listed":1,"syntology":{"n":15,"n_ran":12,"n_constructed":0,"n_ran_checked":7,"n_instrument":5,"n_unverified":3,"n_honours":0,"n_violates":0,"n_no_contract":7,"n_pointer_only":15,"phrase":"12 ran (of which 0 constructed an object rather than computing a result; 7 with no instrument failure: 0 honoured, 0 violated, 7 with no contract checked; 5 where Syntology's instrument failed) · 3 unverified","sample_list":"/paper/continuous-contrastive-learning-for-long#ran","syntology_url":"https://syntology.ai/paper/2410.06109","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2410.06109"}},"official":{"repos":["zhouzihao11/ccl"],"state":"official (archive's flag): 12 ran","n_ran":12,"n_constructed":0,"n_ran_no_instrument_failure":7,"n_unverified":3,"ran_from_kinds":["official"]}}},{"url":"/paper/ltrl-boosting-long-tail-recognition-via","slug":"ltrl-boosting-long-tail-recognition-via","title":"LTRL: Boosting Long-tail Recognition via Reflective Learning","date":"2024-07-17","arxiv_id":"2407.12568","repositories_listed":1,"syntology":{"n":6,"n_ran":5,"n_constructed":0,"n_ran_checked":4,"n_instrument":1,"n_unverified":1,"n_honours":0,"n_violates":0,"n_no_contract":4,"n_pointer_only":6,"phrase":"5 ran (of which 0 constructed an object rather than computing a result; 4 with no instrument failure: 0 honoured, 0 violated, 4 with no contract checked; 1 where Syntology's instrument failed) · 1 unverified","sample_list":"/paper/ltrl-boosting-long-tail-recognition-via#ran","syntology_url":"https://syntology.ai/paper/2407.12568","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2407.12568"}},"official":{"repos":["fistyee/LTRL"],"state":"official (archive's flag): 5 ran","n_ran":5,"n_constructed":0,"n_ran_no_instrument_failure":4,"n_unverified":1,"ran_from_kinds":["official"]}}},{"url":"/paper/harnessing-hierarchical-label-distribution","slug":"harnessing-hierarchical-label-distribution","title":"Harnessing Hierarchical Label Distribution Variations in Test Agnostic Long-tail Recognition","date":"2024-05-13","arxiv_id":"2405.07780","repositories_listed":1,"syntology":{"n":1,"n_ran":1,"n_constructed":1,"n_ran_checked":1,"n_instrument":0,"n_unverified":0,"n_honours":0,"n_violates":0,"n_no_contract":1,"n_pointer_only":1,"phrase":"1 ran (of which 1 constructed an object rather than computing a result; 1 with no instrument failure: 0 honoured, 0 violated, 1 with no contract checked; 0 where Syntology's instrument failed) · 0 unverified; the one sample that ran constructed an object rather than computing a result","sample_list":"/paper/harnessing-hierarchical-label-distribution#ran","syntology_url":"https://syntology.ai/paper/2405.07780","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2405.07780"}},"official":{"repos":["scongl/dirmixe"],"state":"official (archive's flag): 1 ran","n_ran":1,"n_constructed":1,"n_ran_no_instrument_failure":1,"n_unverified":0,"ran_from_kinds":["official"]}}},{"url":"/paper/probabilistic-contrastive-learning-for-long","slug":"probabilistic-contrastive-learning-for-long","title":"Probabilistic Contrastive Learning for Long-Tailed Visual Recognition","date":"2024-03-11","arxiv_id":"2403.06726","repositories_listed":1,"syntology":{"n":9,"n_ran":6,"n_constructed":0,"n_ran_checked":4,"n_instrument":2,"n_unverified":3,"n_honours":0,"n_violates":0,"n_no_contract":4,"n_pointer_only":8,"phrase":"6 ran (of which 0 constructed an object rather than computing a result; 4 with no instrument failure: 0 honoured, 0 violated, 4 with no contract checked; 2 where Syntology's instrument failed) · 3 unverified","sample_list":"/paper/probabilistic-contrastive-learning-for-long#ran","syntology_url":"https://syntology.ai/paper/2403.06726","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2403.06726"}},"official":{"repos":["leaplabthu/proco"],"state":"official (archive's flag): 6 ran","n_ran":6,"n_constructed":0,"n_ran_no_instrument_failure":4,"n_unverified":3,"ran_from_kinds":["official"]}}},{"url":"/paper/sure-survey-recipes-for-building-reliable-and","slug":"sure-survey-recipes-for-building-reliable-and","title":"SURE: SUrvey REcipes for building reliable and robust deep networks","date":"2024-03-01","arxiv_id":"2403.00543","repositories_listed":1,"syntology":{"n":6,"n_ran":5,"n_constructed":0,"n_ran_checked":5,"n_instrument":0,"n_unverified":1,"n_honours":0,"n_violates":0,"n_no_contract":5,"n_pointer_only":6,"phrase":"5 ran (of which 0 constructed an object rather than computing a result; 5 with no instrument failure: 0 honoured, 0 violated, 5 with no contract checked; 0 where Syntology's instrument failed) · 1 unverified","sample_list":"/paper/sure-survey-recipes-for-building-reliable-and#ran","syntology_url":"https://syntology.ai/paper/2403.00543","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2403.00543"}},"official":{"repos":["YutingLi0606/SURE"],"state":"official (archive's flag): 5 ran","n_ran":5,"n_constructed":0,"n_ran_no_instrument_failure":5,"n_unverified":1,"ran_from_kinds":["official"]}}},{"url":"/paper/eat-towards-long-tailed-out-of-distribution","slug":"eat-towards-long-tailed-out-of-distribution","title":"EAT: Towards Long-Tailed Out-of-Distribution Detection","date":"2023-12-14","arxiv_id":"2312.08939","repositories_listed":1,"syntology":{"n":9,"n_ran":7,"n_constructed":0,"n_ran_checked":7,"n_instrument":0,"n_unverified":2,"n_honours":0,"n_violates":0,"n_no_contract":7,"n_pointer_only":9,"phrase":"7 ran (of which 0 constructed an object rather than computing a result; 7 with no instrument failure: 0 honoured, 0 violated, 7 with no contract checked; 0 where Syntology's instrument failed) · 2 unverified","sample_list":"/paper/eat-towards-long-tailed-out-of-distribution#ran","syntology_url":"https://syntology.ai/paper/2312.08939","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2312.08939"}},"official":{"repos":["stomach-ache/long-tailed-ood-detection"],"state":"official (archive's flag): 7 ran","n_ran":7,"n_constructed":0,"n_ran_no_instrument_failure":7,"n_unverified":2,"ran_from_kinds":["official"]}}},{"url":"/paper/parameter-efficient-long-tailed-recognition","slug":"parameter-efficient-long-tailed-recognition","title":"Long-Tail Learning with Foundation Model: Heavy Fine-Tuning Hurts","date":"2023-09-18","arxiv_id":"2309.10019","repositories_listed":1,"syntology":{"n":8,"n_ran":5,"n_constructed":0,"n_ran_checked":1,"n_instrument":4,"n_unverified":3,"n_honours":0,"n_violates":0,"n_no_contract":1,"n_pointer_only":8,"phrase":"5 ran (of which 0 constructed an object rather than computing a result; 1 with no instrument failure: 0 honoured, 0 violated, 1 with no contract checked; 4 where Syntology's instrument failed) · 3 unverified","sample_list":"/paper/parameter-efficient-long-tailed-recognition#ran","syntology_url":"https://syntology.ai/paper/2309.10019","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2309.10019"}},"official":{"repos":["shijxcs/lift"],"state":"official (archive's flag): 5 ran","n_ran":5,"n_constructed":0,"n_ran_no_instrument_failure":1,"n_unverified":3,"ran_from_kinds":["official"]}}},{"url":"/paper/mdcs-more-diverse-experts-with-consistency","slug":"mdcs-more-diverse-experts-with-consistency","title":"MDCS: More Diverse Experts with Consistency Self-distillation for Long-tailed Recognition","date":"2023-08-19","arxiv_id":"2308.09922","repositories_listed":1,"syntology":{"n":8,"n_ran":7,"n_constructed":0,"n_ran_checked":6,"n_instrument":1,"n_unverified":1,"n_honours":0,"n_violates":0,"n_no_contract":6,"n_pointer_only":8,"phrase":"7 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; 1 where Syntology's instrument failed) · 1 unverified","sample_list":"/paper/mdcs-more-diverse-experts-with-consistency#ran","syntology_url":"https://syntology.ai/paper/2308.09922","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2308.09922"}},"official":{"repos":["fistyee/mdcs"],"state":"official (archive's flag): 7 ran","n_ran":7,"n_constructed":0,"n_ran_no_instrument_failure":6,"n_unverified":1,"ran_from_kinds":["official"]}}},{"url":"/paper/norm-guided-latent-space-exploration-for-text-1","slug":"norm-guided-latent-space-exploration-for-text-1","title":"Norm-guided latent space exploration for text-to-image generation","date":"2023-06-14","arxiv_id":"2306.08687","repositories_listed":1,"syntology":{"n":3,"n_ran":1,"n_constructed":0,"n_ran_checked":0,"n_instrument":1,"n_unverified":2,"n_honours":0,"n_violates":0,"n_no_contract":0,"n_pointer_only":3,"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) · 2 unverified","sample_list":"/paper/norm-guided-latent-space-exploration-for-text-1#ran","syntology_url":"https://syntology.ai/paper/2306.08687","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2306.08687"}},"official":{"repos":["dvirsamuel/SeedSelect"],"state":"official (archive's flag): 1 ran","n_ran":1,"n_constructed":0,"n_ran_no_instrument_failure":0,"n_unverified":2,"ran_from_kinds":["official"]}}},{"url":"/paper/on-the-effectiveness-of-out-of-distribution","slug":"on-the-effectiveness-of-out-of-distribution","title":"On the Effectiveness of Out-of-Distribution Data in Self-Supervised Long-Tail Learning","date":"2023-06-08","arxiv_id":"2306.04934","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/on-the-effectiveness-of-out-of-distribution#ran","syntology_url":"https://syntology.ai/paper/2306.04934","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2306.04934"}},"official":{"repos":["jianhongbai/colt"],"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/global-and-local-mixture-consistency-1","slug":"global-and-local-mixture-consistency-1","title":"Global and Local Mixture Consistency Cumulative Learning for Long-tailed Visual Recognitions","date":"2023-05-15","arxiv_id":"2305.08661","repositories_listed":2,"syntology":{"n":10,"n_ran":7,"n_constructed":3,"n_ran_checked":3,"n_instrument":4,"n_unverified":3,"n_honours":0,"n_violates":0,"n_no_contract":3,"n_pointer_only":5,"phrase":"7 ran (of which 3 constructed an object rather than computing a result; 3 with no instrument failure: 0 honoured, 0 violated, 3 with no contract checked; 4 where Syntology's instrument failed) · 3 unverified","sample_list":"/paper/global-and-local-mixture-consistency-1#ran","syntology_url":"https://syntology.ai/paper/2305.08661","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2305.08661"}},"official":{"repos":["ynu-yangpeng/GLMC"],"state":"official (archive's flag): 2 ran","n_ran":2,"n_constructed":0,"n_ran_no_instrument_failure":0,"n_unverified":2,"ran_from_kinds":["listed","official","unlocated"]}}},{"url":"/paper/lmpt-prompt-tuning-with-class-specific","slug":"lmpt-prompt-tuning-with-class-specific","title":"LMPT: Prompt Tuning with Class-Specific Embedding Loss for Long-tailed Multi-Label Visual Recognition","date":"2023-05-08","arxiv_id":"2305.04536","repositories_listed":1,"syntology":{"n":9,"n_ran":4,"n_constructed":0,"n_ran_checked":4,"n_instrument":0,"n_unverified":5,"n_honours":0,"n_violates":0,"n_no_contract":4,"n_pointer_only":0,"phrase":"4 ran (of which 0 constructed an object rather than computing a result; 4 with no instrument failure: 0 honoured, 0 violated, 4 with no contract checked; 0 where Syntology's instrument failed) · 5 unverified","sample_list":"/paper/lmpt-prompt-tuning-with-class-specific#ran","syntology_url":"https://syntology.ai/paper/2305.04536","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2305.04536"}},"official":{"repos":["richard-peng-xia/LMPT"],"state":"official (archive's flag): 4 ran","n_ran":4,"n_constructed":0,"n_ran_no_instrument_failure":4,"n_unverified":5,"ran_from_kinds":["official"]}}},{"url":"/paper/long-tailed-recognition-by-mutual-information","slug":"long-tailed-recognition-by-mutual-information","title":"Long-Tailed Recognition by Mutual Information Maximization between Latent Features and Ground-Truth Labels","date":"2023-05-02","arxiv_id":"2305.01160","repositories_listed":1,"syntology":{"n":1,"n_ran":1,"n_constructed":1,"n_ran_checked":1,"n_instrument":0,"n_unverified":0,"n_honours":0,"n_violates":0,"n_no_contract":1,"n_pointer_only":0,"phrase":"1 ran (of which 1 constructed an object rather than computing a result; 1 with no instrument failure: 0 honoured, 0 violated, 1 with no contract checked; 0 where Syntology's instrument failed) · 0 unverified; the one sample that ran constructed an object rather than computing a result","sample_list":"/paper/long-tailed-recognition-by-mutual-information#ran","syntology_url":"https://syntology.ai/paper/2305.01160","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2305.01160"}},"official":{"repos":["bluecdm/Long-tailed-recognition"],"state":"official (archive's flag): 1 ran","n_ran":1,"n_constructed":1,"n_ran_no_instrument_failure":1,"n_unverified":0,"ran_from_kinds":["official"]}}},{"url":"/paper/cuda-curriculum-of-data-augmentation-for-long","slug":"cuda-curriculum-of-data-augmentation-for-long","title":"CUDA: Curriculum of Data Augmentation for Long-Tailed Recognition","date":"2023-02-10","arxiv_id":"2302.05499","repositories_listed":1,"syntology":{"n":20,"n_ran":18,"n_constructed":0,"n_ran_checked":1,"n_instrument":17,"n_unverified":2,"n_honours":0,"n_violates":0,"n_no_contract":1,"n_pointer_only":20,"phrase":"18 ran (of which 0 constructed an object rather than computing a result; 1 with no instrument failure: 0 honoured, 0 violated, 1 with no contract checked; 17 where Syntology's instrument failed) · 2 unverified","sample_list":"/paper/cuda-curriculum-of-data-augmentation-for-long#ran","syntology_url":"https://syntology.ai/paper/2302.05499","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2302.05499"}},"official":{"repos":["sumyeongahn/cuda_ltr"],"state":"official (archive's flag): 18 ran","n_ran":18,"n_constructed":0,"n_ran_no_instrument_failure":1,"n_unverified":2,"ran_from_kinds":["official"]}}},{"url":"/paper/lpt-long-tailed-prompt-tuning-for-image","slug":"lpt-long-tailed-prompt-tuning-for-image","title":"LPT: Long-tailed Prompt Tuning for Image Classification","date":"2022-10-03","arxiv_id":"2210.01033","repositories_listed":1,"syntology":{"n":2,"n_ran":2,"n_constructed":2,"n_ran_checked":2,"n_instrument":0,"n_unverified":0,"n_honours":0,"n_violates":0,"n_no_contract":2,"n_pointer_only":2,"phrase":"2 ran (of which 2 constructed an object rather than computing a result; 2 with no instrument failure: 0 honoured, 0 violated, 2 with no contract checked; 0 where Syntology's instrument failed) · 0 unverified; every one of the 2 samples that ran constructed an object rather than computing a result","sample_list":"/paper/lpt-long-tailed-prompt-tuning-for-image#ran","syntology_url":"https://syntology.ai/paper/2210.01033","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2210.01033"}},"official":{"repos":["dongsky/lpt"],"state":"official (archive's flag): 2 ran","n_ran":2,"n_constructed":2,"n_ran_no_instrument_failure":2,"n_unverified":0,"ran_from_kinds":["official"]}}},{"url":"/paper/balanced-contrastive-learning-for-long-tailed-1","slug":"balanced-contrastive-learning-for-long-tailed-1","title":"Balanced Contrastive Learning for Long-Tailed Visual Recognition","date":"2022-07-19","arxiv_id":"2207.09052","repositories_listed":1,"syntology":{"n":1,"n_ran":1,"n_constructed":0,"n_ran_checked":1,"n_instrument":0,"n_unverified":0,"n_honours":0,"n_violates":0,"n_no_contract":1,"n_pointer_only":0,"phrase":"1 ran (of which 0 constructed an object rather than computing a result; 1 with no instrument failure: 0 honoured, 0 violated, 1 with no contract checked; 0 where Syntology's instrument failed) · 0 unverified","sample_list":"/paper/balanced-contrastive-learning-for-long-tailed-1#ran","syntology_url":"https://syntology.ai/paper/2207.09052","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2207.09052"}},"official":{"repos":["flamiezhu/bcl"],"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/invariant-feature-learning-for-generalized","slug":"invariant-feature-learning-for-generalized","title":"Invariant Feature Learning for Generalized Long-Tailed Classification","date":"2022-07-19","arxiv_id":"2207.09504","repositories_listed":1,"syntology":{"n":2,"n_ran":2,"n_constructed":2,"n_ran_checked":2,"n_instrument":0,"n_unverified":0,"n_honours":0,"n_violates":0,"n_no_contract":2,"n_pointer_only":2,"phrase":"2 ran (of which 2 constructed an object rather than computing a result; 2 with no instrument failure: 0 honoured, 0 violated, 2 with no contract checked; 0 where Syntology's instrument failed) · 0 unverified; every one of the 2 samples that ran constructed an object rather than computing a result","sample_list":"/paper/invariant-feature-learning-for-generalized#ran","syntology_url":"https://syntology.ai/paper/2207.09504","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2207.09504"}},"official":{"repos":["kaihuatang/generalized-long-tailed-benchmarks.pytorch"],"state":"official (archive's flag): 2 ran","n_ran":2,"n_constructed":2,"n_ran_no_instrument_failure":2,"n_unverified":0,"ran_from_kinds":["official"]}}},{"url":"/paper/nested-collaborative-learning-for-long-tailed","slug":"nested-collaborative-learning-for-long-tailed","title":"Nested Collaborative Learning for Long-Tailed Visual Recognition","date":"2022-03-29","arxiv_id":"2203.15359","repositories_listed":1,"syntology":{"n":2,"n_ran":2,"n_constructed":1,"n_ran_checked":1,"n_instrument":1,"n_unverified":0,"n_honours":0,"n_violates":0,"n_no_contract":1,"n_pointer_only":0,"phrase":"2 ran (of which 1 constructed an object rather than computing a result; 1 with no instrument failure: 0 honoured, 0 violated, 1 with no contract checked; 1 where Syntology's instrument failed) · 0 unverified","sample_list":"/paper/nested-collaborative-learning-for-long-tailed#ran","syntology_url":"https://syntology.ai/paper/2203.15359","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2203.15359"}},"official":{"repos":["bazinga699/ncl"],"state":"official (archive's flag): 2 ran","n_ran":2,"n_constructed":1,"n_ran_no_instrument_failure":1,"n_unverified":0,"ran_from_kinds":["official"]}}},{"url":"/paper/long-tailed-recognition-via-weight-balancing","slug":"long-tailed-recognition-via-weight-balancing","title":"Long-Tailed Recognition via Weight Balancing","date":"2022-03-27","arxiv_id":"2203.14197","repositories_listed":2,"syntology":{"n":14,"n_ran":5,"n_constructed":2,"n_ran_checked":5,"n_instrument":0,"n_unverified":9,"n_honours":2,"n_violates":0,"n_no_contract":3,"n_pointer_only":13,"phrase":"5 ran (of which 2 constructed an object rather than computing a result; 5 with no instrument failure: 2 honoured, 0 violated, 3 with no contract checked; 0 where Syntology's instrument failed) · 9 unverified","sample_list":"/paper/long-tailed-recognition-via-weight-balancing#ran","syntology_url":"https://syntology.ai/paper/2203.14197","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2203.14197"}},"official":{"repos":["shadealsha/ltr-weight-balancing"],"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":["listed","official"]}}},{"url":"/paper/visual-prompt-tuning","slug":"visual-prompt-tuning","title":"Visual Prompt Tuning","date":"2022-03-23","arxiv_id":"2203.12119","repositories_listed":6,"syntology":{"n":27,"n_ran":18,"n_constructed":12,"n_ran_checked":16,"n_instrument":2,"n_unverified":9,"n_honours":1,"n_violates":1,"n_no_contract":14,"n_pointer_only":15,"phrase":"18 ran (of which 12 constructed an object rather than computing a result; 16 with no instrument failure: 1 honoured, 1 violated, 14 with no contract checked; 2 where Syntology's instrument failed) · 9 unverified","sample_list":"/paper/visual-prompt-tuning#ran","syntology_url":"https://syntology.ai/paper/2203.12119","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2203.12119"}},"official":{"repos":["KMnP/vpt"],"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":["listed","unlocated"]}}},{"url":"/paper/do-deep-networks-transfer-invariances-across-1","slug":"do-deep-networks-transfer-invariances-across-1","title":"Do Deep Networks Transfer Invariances Across Classes?","date":"2022-03-18","arxiv_id":"2203.09739","repositories_listed":1,"syntology":{"n":3,"n_ran":3,"n_constructed":0,"n_ran_checked":0,"n_instrument":3,"n_unverified":0,"n_honours":0,"n_violates":0,"n_no_contract":0,"n_pointer_only":3,"phrase":"3 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; 3 where Syntology's instrument failed) · 0 unverified","sample_list":"/paper/do-deep-networks-transfer-invariances-across-1#ran","syntology_url":"https://syntology.ai/paper/2203.09739","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2203.09739"}},"official":{"repos":["allanyangzhou/generative-invariance-transfer"],"state":"official (archive's flag): 3 ran","n_ran":3,"n_constructed":0,"n_ran_no_instrument_failure":0,"n_unverified":0,"ran_from_kinds":["official"]}}},{"url":"/paper/batchformer-learning-to-explore-sample","slug":"batchformer-learning-to-explore-sample","title":"BatchFormer: Learning to Explore Sample Relationships for Robust Representation Learning","date":"2022-03-03","arxiv_id":"2203.01522","repositories_listed":1,"syntology":{"n":2,"n_ran":2,"n_constructed":0,"n_ran_checked":2,"n_instrument":0,"n_unverified":0,"n_honours":0,"n_violates":0,"n_no_contract":2,"n_pointer_only":2,"phrase":"2 ran (of which 0 constructed an object rather than computing a result; 2 with no instrument failure: 0 honoured, 0 violated, 2 with no contract checked; 0 where Syntology's instrument failed) · 0 unverified","sample_list":"/paper/batchformer-learning-to-explore-sample#ran","syntology_url":"https://syntology.ai/paper/2203.01522","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2203.01522"}},"official":{"repos":["zhihou7/batchformer"],"state":"official (archive's flag): 2 ran","n_ran":2,"n_constructed":0,"n_ran_no_instrument_failure":2,"n_unverified":0,"ran_from_kinds":["official"]}}},{"url":"/paper/the-majority-can-help-the-minority-context","slug":"the-majority-can-help-the-minority-context","title":"The Majority Can Help The Minority: Context-rich Minority Oversampling for Long-tailed Classification","date":"2021-12-01","arxiv_id":"2112.00412","repositories_listed":1,"syntology":{"n":5,"n_ran":3,"n_constructed":0,"n_ran_checked":0,"n_instrument":3,"n_unverified":2,"n_honours":0,"n_violates":0,"n_no_contract":0,"n_pointer_only":2,"phrase":"3 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; 3 where Syntology's instrument failed) · 2 unverified","sample_list":"/paper/the-majority-can-help-the-minority-context#ran","syntology_url":"https://syntology.ai/paper/2112.00412","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2112.00412"}},"official":{"repos":["naver-ai/cmo"],"state":"official (archive's flag): 1 ran","n_ran":1,"n_constructed":0,"n_ran_no_instrument_failure":0,"n_unverified":2,"ran_from_kinds":["official","unlocated"]}}},{"url":"/paper/targeted-supervised-contrastive-learning-for","slug":"targeted-supervised-contrastive-learning-for","title":"Targeted Supervised Contrastive Learning for Long-Tailed Recognition","date":"2021-11-27","arxiv_id":"2111.13998","repositories_listed":1,"syntology":{"n":14,"n_ran":10,"n_constructed":0,"n_ran_checked":9,"n_instrument":1,"n_unverified":4,"n_honours":0,"n_violates":0,"n_no_contract":9,"n_pointer_only":0,"phrase":"10 ran (of which 0 constructed an object rather than computing a result; 9 with no instrument failure: 0 honoured, 0 violated, 9 with no contract checked; 1 where Syntology's instrument failed) · 4 unverified","sample_list":"/paper/targeted-supervised-contrastive-learning-for#ran","syntology_url":"https://syntology.ai/paper/2111.13998","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2111.13998"}},"official":{"repos":["lth14/targeted-supcon"],"state":"official (archive's flag): 10 ran","n_ran":10,"n_constructed":0,"n_ran_no_instrument_failure":9,"n_unverified":4,"ran_from_kinds":["official"]}}},{"url":"/paper/feature-generation-for-long-tail","slug":"feature-generation-for-long-tail","title":"Feature Generation for Long-tail Classification","date":"2021-11-10","arxiv_id":"2111.05956","repositories_listed":1,"syntology":{"n":6,"n_ran":5,"n_constructed":0,"n_ran_checked":4,"n_instrument":1,"n_unverified":1,"n_honours":0,"n_violates":0,"n_no_contract":4,"n_pointer_only":1,"phrase":"5 ran (of which 0 constructed an object rather than computing a result; 4 with no instrument failure: 0 honoured, 0 violated, 4 with no contract checked; 1 where Syntology's instrument failed) · 1 unverified","sample_list":"/paper/feature-generation-for-long-tail#ran","syntology_url":"https://syntology.ai/paper/2111.05956","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2111.05956"}},"official":{"repos":["rahulvigneswaran/tailcalibx"],"state":"official (archive's flag): 5 ran","n_ran":5,"n_constructed":0,"n_ran_no_instrument_failure":4,"n_unverified":1,"ran_from_kinds":["official"]}}},{"url":"/paper/towards-calibrated-model-for-long-tailed","slug":"towards-calibrated-model-for-long-tailed","title":"Towards Calibrated Model for Long-Tailed Visual Recognition from Prior Perspective","date":"2021-11-06","arxiv_id":"2111.03874","repositories_listed":1,"syntology":{"n":7,"n_ran":6,"n_constructed":0,"n_ran_checked":6,"n_instrument":0,"n_unverified":1,"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) · 1 unverified","sample_list":"/paper/towards-calibrated-model-for-long-tailed#ran","syntology_url":"https://syntology.ai/paper/2111.03874","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2111.03874"}},"official":{"repos":["XuZhengzhuo/Prior-LT"],"state":"official (archive's flag): 6 ran","n_ran":6,"n_constructed":0,"n_ran_no_instrument_failure":6,"n_unverified":1,"ran_from_kinds":["official"]}}},{"url":"/paper/self-supervised-learning-is-more-robust-to-1","slug":"self-supervised-learning-is-more-robust-to-1","title":"Self-supervised Learning is More Robust to Dataset Imbalance","date":"2021-10-11","arxiv_id":"2110.05025","repositories_listed":1,"syntology":{"n":4,"n_ran":3,"n_constructed":0,"n_ran_checked":1,"n_instrument":2,"n_unverified":1,"n_honours":1,"n_violates":0,"n_no_contract":0,"n_pointer_only":1,"phrase":"3 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; 2 where Syntology's instrument failed) · 1 unverified","sample_list":"/paper/self-supervised-learning-is-more-robust-to-1#ran","syntology_url":"https://syntology.ai/paper/2110.05025","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2110.05025"}},"official":null}},{"url":"/paper/influence-balanced-loss-for-imbalanced-visual-1","slug":"influence-balanced-loss-for-imbalanced-visual-1","title":"Influence-Balanced Loss for Imbalanced Visual Classification","date":"2021-10-06","arxiv_id":"2110.02444","repositories_listed":1,"syntology":{"n":2,"n_ran":2,"n_constructed":1,"n_ran_checked":2,"n_instrument":0,"n_unverified":0,"n_honours":1,"n_violates":0,"n_no_contract":1,"n_pointer_only":0,"phrase":"2 ran (of which 1 constructed an object rather than computing a result; 2 with no instrument failure: 1 honoured, 0 violated, 1 with no contract checked; 0 where Syntology's instrument failed) · 0 unverified","sample_list":"/paper/influence-balanced-loss-for-imbalanced-visual-1#ran","syntology_url":"https://syntology.ai/paper/2110.02444","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2110.02444"}},"official":{"repos":["pseulki/ib-loss"],"state":"official (archive's flag): 2 ran","n_ran":2,"n_constructed":1,"n_ran_no_instrument_failure":2,"n_unverified":0,"ran_from_kinds":["official"]}}},{"url":"/paper/parametric-contrastive-learning","slug":"parametric-contrastive-learning","title":"Parametric Contrastive Learning","date":"2021-07-26","arxiv_id":"2107.12028","repositories_listed":5,"syntology":{"n":3,"n_ran":1,"n_constructed":1,"n_ran_checked":1,"n_instrument":0,"n_unverified":2,"n_honours":0,"n_violates":0,"n_no_contract":1,"n_pointer_only":1,"phrase":"1 ran (of which 1 constructed an object rather than computing a result; 1 with no instrument failure: 0 honoured, 0 violated, 1 with no contract checked; 0 where Syntology's instrument failed) · 2 unverified; the one sample that ran constructed an object rather than computing a result","sample_list":"/paper/parametric-contrastive-learning#ran","syntology_url":"https://syntology.ai/paper/2107.12028","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2107.12028"}},"official":{"repos":["dvlab-research/parametric-contrastive-learning","jiequancui/Parametric-Contrastive-Learning"],"state":"official (archive's flag): 1 ran","n_ran":1,"n_constructed":1,"n_ran_no_instrument_failure":1,"n_unverified":0,"ran_from_kinds":["official"]}}},{"url":"/paper/test-agnostic-long-tailed-recognition-by-test","slug":"test-agnostic-long-tailed-recognition-by-test","title":"Self-Supervised Aggregation of Diverse Experts for Test-Agnostic Long-Tailed Recognition","date":"2021-07-20","arxiv_id":"2107.09249","repositories_listed":2,"syntology":{"n":6,"n_ran":5,"n_constructed":0,"n_ran_checked":4,"n_instrument":1,"n_unverified":1,"n_honours":0,"n_violates":0,"n_no_contract":4,"n_pointer_only":5,"phrase":"5 ran (of which 0 constructed an object rather than computing a result; 4 with no instrument failure: 0 honoured, 0 violated, 4 with no contract checked; 1 where Syntology's instrument failed) · 1 unverified","sample_list":"/paper/test-agnostic-long-tailed-recognition-by-test#ran","syntology_url":"https://syntology.ai/paper/2107.09249","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2107.09249"}},"official":{"repos":["Vanint/TADE-AgnosticLT","vanint/sade-agnosticlt"],"state":"official (archive's flag): 5 ran","n_ran":5,"n_constructed":0,"n_ran_no_instrument_failure":4,"n_unverified":1,"ran_from_kinds":["official"]}}},{"url":"/paper/rsg-a-simple-but-effective-module-for","slug":"rsg-a-simple-but-effective-module-for","title":"RSG: A Simple but Effective Module for Learning Imbalanced Datasets","date":"2021-06-18","arxiv_id":"2106.09859","repositories_listed":1,"syntology":{"n":1,"n_ran":1,"n_constructed":0,"n_ran_checked":1,"n_instrument":0,"n_unverified":0,"n_honours":0,"n_violates":0,"n_no_contract":1,"n_pointer_only":0,"phrase":"1 ran (of which 0 constructed an object rather than computing a result; 1 with no instrument failure: 0 honoured, 0 violated, 1 with no contract checked; 0 where Syntology's instrument failed) · 0 unverified","sample_list":"/paper/rsg-a-simple-but-effective-module-for#ran","syntology_url":"https://syntology.ai/paper/2106.09859","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2106.09859"}},"official":{"repos":["Jianf-Wang/RSG"],"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/improving-calibration-for-long-tailed-1","slug":"improving-calibration-for-long-tailed-1","title":"Improving Calibration for Long-Tailed Recognition","date":"2021-04-01","arxiv_id":"2104.00466","repositories_listed":5,"syntology":{"n":9,"n_ran":5,"n_constructed":0,"n_ran_checked":1,"n_instrument":4,"n_unverified":4,"n_honours":0,"n_violates":0,"n_no_contract":1,"n_pointer_only":1,"phrase":"5 ran (of which 0 constructed an object rather than computing a result; 1 with no instrument failure: 0 honoured, 0 violated, 1 with no contract checked; 4 where Syntology's instrument failed) · 4 unverified","sample_list":"/paper/improving-calibration-for-long-tailed-1#ran","syntology_url":"https://syntology.ai/paper/2104.00466","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2104.00466"}},"official":{"repos":["Jia-Research-Lab/MiSLAS"],"state":"official (archive's flag): 5 ran","n_ran":5,"n_constructed":0,"n_ran_no_instrument_failure":1,"n_unverified":4,"ran_from_kinds":["official"]}}},{"url":"/paper/distribution-alignment-a-unified-framework","slug":"distribution-alignment-a-unified-framework","title":"Distribution Alignment: A Unified Framework for Long-tail Visual Recognition","date":"2021-03-30","arxiv_id":"2103.16370","repositories_listed":1,"syntology":{"n":3,"n_ran":1,"n_constructed":0,"n_ran_checked":1,"n_instrument":0,"n_unverified":2,"n_honours":0,"n_violates":0,"n_no_contract":1,"n_pointer_only":3,"phrase":"1 ran (of which 0 constructed an object rather than computing a result; 1 with no instrument failure: 0 honoured, 0 violated, 1 with no contract checked; 0 where Syntology's instrument failed) · 2 unverified","sample_list":"/paper/distribution-alignment-a-unified-framework#ran","syntology_url":"https://syntology.ai/paper/2103.16370","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2103.16370"}},"official":{"repos":["Megvii-BaseDetection/DisAlign"],"state":"official (archive's flag): 1 ran","n_ran":1,"n_constructed":0,"n_ran_no_instrument_failure":1,"n_unverified":2,"ran_from_kinds":["official"]}}},{"url":"/paper/metasaug-meta-semantic-augmentation-for-long","slug":"metasaug-meta-semantic-augmentation-for-long","title":"MetaSAug: Meta Semantic Augmentation for Long-Tailed Visual Recognition","date":"2021-03-23","arxiv_id":"2103.12579","repositories_listed":1,"syntology":{"n":3,"n_ran":2,"n_constructed":1,"n_ran_checked":2,"n_instrument":0,"n_unverified":1,"n_honours":0,"n_violates":0,"n_no_contract":2,"n_pointer_only":0,"phrase":"2 ran (of which 1 constructed an object rather than computing a result; 2 with no instrument failure: 0 honoured, 0 violated, 2 with no contract checked; 0 where Syntology's instrument failed) · 1 unverified","sample_list":"/paper/metasaug-meta-semantic-augmentation-for-long#ran","syntology_url":"https://syntology.ai/paper/2103.12579","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2103.12579"}},"official":{"repos":["BIT-DA/MetaSAug"],"state":"official (archive's flag): 2 ran","n_ran":2,"n_constructed":1,"n_ran_no_instrument_failure":2,"n_unverified":1,"ran_from_kinds":["official"]}}},{"url":"/paper/learning-transferable-visual-models-from","slug":"learning-transferable-visual-models-from","title":"Learning Transferable Visual Models From Natural Language Supervision","date":"2021-02-26","arxiv_id":"2103.00020","repositories_listed":82,"syntology":{"n":20,"n_ran":16,"n_constructed":0,"n_ran_checked":2,"n_instrument":14,"n_unverified":4,"n_honours":1,"n_violates":1,"n_no_contract":0,"n_pointer_only":16,"phrase":"16 ran (of which 0 constructed an object rather than computing a result; 2 with no instrument failure: 1 honoured, 1 violated, 0 with no contract checked; 14 where Syntology's instrument failed) · 4 unverified","sample_list":"/paper/learning-transferable-visual-models-from#ran","syntology_url":"https://syntology.ai/paper/2103.00020","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2103.00020"}},"official":{"repos":["openai/CLIP"],"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":["listed","unlocated"]}}},{"url":"/paper/reslt-residual-learning-for-long-tailed","slug":"reslt-residual-learning-for-long-tailed","title":"ResLT: Residual Learning for Long-tailed Recognition","date":"2021-01-26","arxiv_id":"2101.10633","repositories_listed":5,"syntology":{"n":9,"n_ran":5,"n_constructed":0,"n_ran_checked":1,"n_instrument":4,"n_unverified":4,"n_honours":0,"n_violates":1,"n_no_contract":0,"n_pointer_only":1,"phrase":"5 ran (of which 0 constructed an object rather than computing a result; 1 with no instrument failure: 0 honoured, 1 violated, 0 with no contract checked; 4 where Syntology's instrument failed) · 4 unverified","sample_list":"/paper/reslt-residual-learning-for-long-tailed#ran","syntology_url":"https://syntology.ai/paper/2101.10633","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2101.10633"}},"official":{"repos":["jiequancui/ResLT"],"state":"official (archive's flag): 4 ran","n_ran":4,"n_constructed":0,"n_ran_no_instrument_failure":1,"n_unverified":4,"ran_from_kinds":["listed","official"]}}},{"url":"/paper/posterior-re-calibration-for-imbalanced","slug":"posterior-re-calibration-for-imbalanced","title":"Posterior Re-calibration for Imbalanced Datasets","date":"2020-10-22","arxiv_id":"2010.11820","repositories_listed":0,"syntology":{"n":1,"n_ran":1,"n_constructed":0,"n_ran_checked":1,"n_instrument":0,"n_unverified":0,"n_honours":0,"n_violates":1,"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: 0 honoured, 1 violated, 0 with no contract checked; 0 where Syntology's instrument failed) · 0 unverified","sample_list":"/paper/posterior-re-calibration-for-imbalanced#ran","syntology_url":"https://syntology.ai/paper/2010.11820","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2010.11820"}},"official":null}},{"url":"/paper/long-tailed-recognition-by-routing-diverse-1","slug":"long-tailed-recognition-by-routing-diverse-1","title":"Long-tailed Recognition by Routing Diverse Distribution-Aware Experts","date":"2020-10-05","arxiv_id":"2010.01809","repositories_listed":2,"syntology":{"n":1,"n_ran":1,"n_constructed":1,"n_ran_checked":1,"n_instrument":0,"n_unverified":0,"n_honours":0,"n_violates":0,"n_no_contract":1,"n_pointer_only":0,"phrase":"1 ran (of which 1 constructed an object rather than computing a result; 1 with no instrument failure: 0 honoured, 0 violated, 1 with no contract checked; 0 where Syntology's instrument failed) · 0 unverified; the one sample that ran constructed an object rather than computing a result","sample_list":"/paper/long-tailed-recognition-by-routing-diverse-1#ran","syntology_url":"https://syntology.ai/paper/2010.01809","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2010.01809"}},"official":{"repos":["frank-xwang/RIDE-LongTailRecognition"],"state":"official (archive's flag): 1 ran","n_ran":1,"n_constructed":1,"n_ran_no_instrument_failure":1,"n_unverified":0,"ran_from_kinds":["official"]}}},{"url":"/paper/long-tailed-classification-by-keeping-the-1","slug":"long-tailed-classification-by-keeping-the-1","title":"Long-Tailed Classification by Keeping the Good and Removing the Bad Momentum Causal Effect","date":"2020-09-28","arxiv_id":"2009.12991","repositories_listed":2,"syntology":{"n":2,"n_ran":2,"n_constructed":2,"n_ran_checked":2,"n_instrument":0,"n_unverified":0,"n_honours":0,"n_violates":0,"n_no_contract":2,"n_pointer_only":2,"phrase":"2 ran (of which 2 constructed an object rather than computing a result; 2 with no instrument failure: 0 honoured, 0 violated, 2 with no contract checked; 0 where Syntology's instrument failed) · 0 unverified; every one of the 2 samples that ran constructed an object rather than computing a result","sample_list":"/paper/long-tailed-classification-by-keeping-the-1#ran","syntology_url":"https://syntology.ai/paper/2009.12991","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2009.12991"}},"official":{"repos":["KaihuaTang/Long-Tailed-Recognition.pytorch"],"state":"official (archive's flag): 1 ran","n_ran":1,"n_constructed":1,"n_ran_no_instrument_failure":1,"n_unverified":0,"ran_from_kinds":["listed","official"]}}},{"url":"/paper/balanced-meta-softmax-for-long-tailed-visual","slug":"balanced-meta-softmax-for-long-tailed-visual","title":"Balanced Meta-Softmax for Long-Tailed Visual Recognition","date":"2020-07-21","arxiv_id":"2007.10740","repositories_listed":1,"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/balanced-meta-softmax-for-long-tailed-visual#ran","syntology_url":"https://syntology.ai/paper/2007.10740","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2007.10740"}},"official":{"repos":["jiawei-ren/BalancedMetaSoftmax"],"state":"community repositories only","n_ran":0,"n_constructed":0,"n_ran_no_instrument_failure":0,"n_unverified":0,"ran_from_kinds":["community"]}}},{"url":"/paper/long-tail-learning-via-logit-adjustment","slug":"long-tail-learning-via-logit-adjustment","title":"Long-tail learning via logit adjustment","date":"2020-07-14","arxiv_id":"2007.07314","repositories_listed":3,"syntology":{"n":7,"n_ran":7,"n_constructed":1,"n_ran_checked":6,"n_instrument":1,"n_unverified":0,"n_honours":0,"n_violates":0,"n_no_contract":6,"n_pointer_only":1,"phrase":"7 ran (of which 1 constructed an object rather than computing a result; 6 with no instrument failure: 0 honoured, 0 violated, 6 with no contract checked; 1 where Syntology's instrument failed) · 0 unverified","sample_list":"/paper/long-tail-learning-via-logit-adjustment#ran","syntology_url":"https://syntology.ai/paper/2007.07314","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2007.07314"}},"official":{"repos":["google-research/google-research"],"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":["listed","official"]}}},{"url":"/paper/long-tailed-recognition-using-class-balanced","slug":"long-tailed-recognition-using-class-balanced","title":"Long-Tailed Recognition Using Class-Balanced Experts","date":"2020-04-07","arxiv_id":"2004.03706","repositories_listed":1,"syntology":{"n":9,"n_ran":4,"n_constructed":0,"n_ran_checked":3,"n_instrument":1,"n_unverified":5,"n_honours":0,"n_violates":0,"n_no_contract":3,"n_pointer_only":1,"phrase":"4 ran (of which 0 constructed an object rather than computing a result; 3 with no instrument failure: 0 honoured, 0 violated, 3 with no contract checked; 1 where Syntology's instrument failed) · 5 unverified","sample_list":"/paper/long-tailed-recognition-using-class-balanced#ran","syntology_url":"https://syntology.ai/paper/2004.03706","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2004.03706"}},"official":{"repos":["ssfootball04/class-balanced-experts"],"state":"official (archive's flag): 4 ran","n_ran":4,"n_constructed":0,"n_ran_no_instrument_failure":3,"n_unverified":5,"ran_from_kinds":["official"]}}},{"url":"/paper/rethinking-class-balanced-methods-for-long","slug":"rethinking-class-balanced-methods-for-long","title":"Rethinking Class-Balanced Methods for Long-Tailed Visual Recognition from a Domain Adaptation Perspective","date":"2020-03-24","arxiv_id":"2003.10780","repositories_listed":1,"syntology":{"n":3,"n_ran":2,"n_constructed":0,"n_ran_checked":1,"n_instrument":1,"n_unverified":1,"n_honours":0,"n_violates":0,"n_no_contract":1,"n_pointer_only":1,"phrase":"2 ran (of which 0 constructed an object rather than computing a result; 1 with no instrument failure: 0 honoured, 0 violated, 1 with no contract checked; 1 where Syntology's instrument failed) · 1 unverified","sample_list":"/paper/rethinking-class-balanced-methods-for-long#ran","syntology_url":"https://syntology.ai/paper/2003.10780","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2003.10780"}},"official":{"repos":["abdullahjamal/Longtail_DA"],"state":"official (archive's flag): 2 ran","n_ran":2,"n_constructed":0,"n_ran_no_instrument_failure":1,"n_unverified":1,"ran_from_kinds":["official"]}}},{"url":"/paper/equalization-loss-for-long-tailed-object","slug":"equalization-loss-for-long-tailed-object","title":"Equalization Loss for Long-Tailed Object Recognition","date":"2020-03-11","arxiv_id":"2003.05176","repositories_listed":1,"syntology":{"n":12,"n_ran":9,"n_constructed":0,"n_ran_checked":8,"n_instrument":1,"n_unverified":3,"n_honours":0,"n_violates":0,"n_no_contract":8,"n_pointer_only":12,"phrase":"9 ran (of which 0 constructed an object rather than computing a result; 8 with no instrument failure: 0 honoured, 0 violated, 8 with no contract checked; 1 where Syntology's instrument failed) · 3 unverified","sample_list":"/paper/equalization-loss-for-long-tailed-object#ran","syntology_url":"https://syntology.ai/paper/2003.05176","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2003.05176"}},"official":{"repos":["tztztztztz/eql.detectron2"],"state":"official (archive's flag): 9 ran","n_ran":9,"n_constructed":0,"n_ran_no_instrument_failure":8,"n_unverified":3,"ran_from_kinds":["official"]}}},{"url":"/paper/bbn-bilateral-branch-network-with-cumulative","slug":"bbn-bilateral-branch-network-with-cumulative","title":"BBN: Bilateral-Branch Network with Cumulative Learning for Long-Tailed Visual Recognition","date":"2019-12-05","arxiv_id":"1912.02413","repositories_listed":1,"syntology":{"n":5,"n_ran":5,"n_constructed":0,"n_ran_checked":5,"n_instrument":0,"n_unverified":0,"n_honours":0,"n_violates":0,"n_no_contract":5,"n_pointer_only":0,"phrase":"5 ran (of which 0 constructed an object rather than computing a result; 5 with no instrument failure: 0 honoured, 0 violated, 5 with no contract checked; 0 where Syntology's instrument failed) · 0 unverified","sample_list":"/paper/bbn-bilateral-branch-network-with-cumulative#ran","syntology_url":"https://syntology.ai/paper/1912.02413","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"1912.02413"}},"official":{"repos":["Megvii-Nanjing/BBN"],"state":"official (archive's flag): 5 ran","n_ran":5,"n_constructed":0,"n_ran_no_instrument_failure":5,"n_unverified":0,"ran_from_kinds":["official"]}}},{"url":"/paper/decoupling-representation-and-classifier-for","slug":"decoupling-representation-and-classifier-for","title":"Decoupling Representation and Classifier for Long-Tailed Recognition","date":"2019-10-21","arxiv_id":"1910.09217","repositories_listed":4,"syntology":{"n":2,"n_ran":2,"n_constructed":0,"n_ran_checked":2,"n_instrument":0,"n_unverified":0,"n_honours":1,"n_violates":1,"n_no_contract":0,"n_pointer_only":2,"phrase":"2 ran (of which 0 constructed an object rather than computing a result; 2 with no instrument failure: 1 honoured, 1 violated, 0 with no contract checked; 0 where Syntology's instrument failed) · 0 unverified","sample_list":"/paper/decoupling-representation-and-classifier-for#ran","syntology_url":"https://syntology.ai/paper/1910.09217","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"1910.09217"}},"official":{"repos":["facebookresearch/classifier-balancing"],"state":"official (archive's flag): 2 ran","n_ran":2,"n_constructed":0,"n_ran_no_instrument_failure":2,"n_unverified":0,"ran_from_kinds":["official"]}}},{"url":"/paper/learning-imbalanced-datasets-with-label","slug":"learning-imbalanced-datasets-with-label","title":"Learning Imbalanced Datasets with Label-Distribution-Aware Margin Loss","date":"2019-06-18","arxiv_id":"1906.07413","repositories_listed":7,"syntology":{"n":11,"n_ran":6,"n_constructed":1,"n_ran_checked":5,"n_instrument":1,"n_unverified":5,"n_honours":0,"n_violates":0,"n_no_contract":5,"n_pointer_only":5,"phrase":"6 ran (of which 1 constructed an object rather than computing a result; 5 with no instrument failure: 0 honoured, 0 violated, 5 with no contract checked; 1 where Syntology's instrument failed) · 5 unverified","sample_list":"/paper/learning-imbalanced-datasets-with-label#ran","syntology_url":"https://syntology.ai/paper/1906.07413","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"1906.07413"}},"official":{"repos":["kaidic/LDAM-DRW"],"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/class-balanced-loss-based-on-effective-number","slug":"class-balanced-loss-based-on-effective-number","title":"Class-Balanced Loss Based on Effective Number of Samples","date":"2019-01-16","arxiv_id":"1901.05555","repositories_listed":11,"syntology":{"n":27,"n_ran":15,"n_constructed":2,"n_ran_checked":13,"n_instrument":2,"n_unverified":12,"n_honours":0,"n_violates":0,"n_no_contract":13,"n_pointer_only":0,"phrase":"15 ran (of which 2 constructed an object rather than computing a result; 13 with no instrument failure: 0 honoured, 0 violated, 13 with no contract checked; 2 where Syntology's instrument failed) · 12 unverified","sample_list":"/paper/class-balanced-loss-based-on-effective-number#ran","syntology_url":"https://syntology.ai/paper/1901.05555","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"1901.05555"}},"official":{"repos":["richardaecn/class-balanced-loss"],"state":"official (archive's flag): 8 ran","n_ran":8,"n_constructed":0,"n_ran_no_instrument_failure":8,"n_unverified":11,"ran_from_kinds":["listed","official"]}}},{"url":"/paper/focal-loss-for-dense-object-detection","slug":"focal-loss-for-dense-object-detection","title":"Focal Loss for Dense Object Detection","date":"2017-08-07","arxiv_id":"1708.02002","repositories_listed":234,"syntology":{"n":11,"n_ran":11,"n_constructed":0,"n_ran_checked":2,"n_instrument":9,"n_unverified":0,"n_honours":0,"n_violates":2,"n_no_contract":0,"n_pointer_only":6,"phrase":"11 ran (of which 0 constructed an object rather than computing a result; 2 with no instrument failure: 0 honoured, 2 violated, 0 with no contract checked; 9 where Syntology's instrument failed) · 0 unverified","sample_list":"/paper/focal-loss-for-dense-object-detection#ran","syntology_url":"https://syntology.ai/paper/1708.02002","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"1708.02002"}},"official":{"repos":["facebookresearch/detectron"],"state":"community repositories only","n_ran":0,"n_constructed":0,"n_ran_no_instrument_failure":0,"n_unverified":0,"ran_from_kinds":["listed"]}}}],"record_sha256":"fe0c9bd1162e17676dd35d4331457f8df68633cad1742ce1eb70cf867ce834c8","record_changed_at":"2026-09-28","record_changed_at_basis":"first_hashed"}