{"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/exemplar-free/papers/ran/1","list_of":"/task/exemplar-free","task":"Exemplar-Free","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":[1,17],"of":17,"counts":{"archive_papers_tagged":72,"with_a_code_link":39,"where_syntology_ran_a_sample":17,"not_listed_spam_title":0,"listed":72,"listed_where_code_ran":17,"where_syntology_ran_a_sample_split":{"with_a_run_with_no_instrument_failure":15,"every_run_a_failure_of_syntologys_instrument":2,"listed_with_a_run_with_no_instrument_failure":15,"listed_every_run_a_failure_of_syntologys_instrument":2,"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/exemplar-free/papers/ran/1","prev":null,"next":null,"papers":[{"url":"/paper/semantic-shift-estimation-via-dual-projection","slug":"semantic-shift-estimation-via-dual-projection","title":"Semantic Shift Estimation via Dual-Projection and Classifier Reconstruction for Exemplar-Free Class-Incremental Learning","date":"2025-03-07","arxiv_id":"2503.05423","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/semantic-shift-estimation-via-dual-projection#ran","syntology_url":"https://syntology.ai/paper/2503.05423","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2503.05423"}},"official":{"repos":["rhe502/icml25-dpcr"],"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/task-recency-bias-strikes-back-adapting","slug":"task-recency-bias-strikes-back-adapting","title":"Task-recency bias strikes back: Adapting covariances in Exemplar-Free Class Incremental Learning","date":"2024-09-26","arxiv_id":"2409.18265","repositories_listed":1,"syntology":{"n":2,"n_ran":1,"n_constructed":0,"n_ran_checked":0,"n_instrument":1,"n_unverified":1,"n_honours":0,"n_violates":0,"n_no_contract":0,"n_pointer_only":2,"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) · 1 unverified","sample_list":"/paper/task-recency-bias-strikes-back-adapting#ran","syntology_url":"https://syntology.ai/paper/2409.18265","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2409.18265"}},"official":{"repos":["grypesc/adagauss"],"state":"official (archive's flag): 1 ran","n_ran":1,"n_constructed":0,"n_ran_no_instrument_failure":0,"n_unverified":1,"ran_from_kinds":["official"]}}},{"url":"/paper/adaptive-adapter-routing-for-long-tailed","slug":"adaptive-adapter-routing-for-long-tailed","title":"Adaptive Adapter Routing for Long-Tailed Class-Incremental Learning","date":"2024-09-11","arxiv_id":"2409.07446","repositories_listed":1,"syntology":{"n":14,"n_ran":9,"n_constructed":0,"n_ran_checked":3,"n_instrument":6,"n_unverified":5,"n_honours":0,"n_violates":0,"n_no_contract":3,"n_pointer_only":7,"phrase":"9 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; 6 where Syntology's instrument failed) · 5 unverified","sample_list":"/paper/adaptive-adapter-routing-for-long-tailed#ran","syntology_url":"https://syntology.ai/paper/2409.07446","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2409.07446"}},"official":{"repos":["vita-qzh/apart"],"state":"official (archive's flag): 9 ran","n_ran":9,"n_constructed":0,"n_ran_no_instrument_failure":3,"n_unverified":5,"ran_from_kinds":["official"]}}},{"url":"/paper/exemplar-free-continual-representation","slug":"exemplar-free-continual-representation","title":"Exemplar-free Continual Representation Learning via Learnable Drift Compensation","date":"2024-07-11","arxiv_id":"2407.08536","repositories_listed":1,"syntology":{"n":16,"n_ran":8,"n_constructed":6,"n_ran_checked":8,"n_instrument":0,"n_unverified":8,"n_honours":0,"n_violates":0,"n_no_contract":8,"n_pointer_only":16,"phrase":"8 ran (of which 6 constructed an object rather than computing a result; 8 with no instrument failure: 0 honoured, 0 violated, 8 with no contract checked; 0 where Syntology's instrument failed) · 8 unverified","sample_list":"/paper/exemplar-free-continual-representation#ran","syntology_url":"https://syntology.ai/paper/2407.08536","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2407.08536"}},"official":{"repos":["alviur/ldc"],"state":"official (archive's flag): 8 ran","n_ran":8,"n_constructed":6,"n_ran_no_instrument_failure":8,"n_unverified":8,"ran_from_kinds":["official"]}}},{"url":"/paper/resurrecting-old-classes-with-new-data-for","slug":"resurrecting-old-classes-with-new-data-for","title":"Resurrecting Old Classes with New Data for Exemplar-Free Continual Learning","date":"2024-05-29","arxiv_id":"2405.19074","repositories_listed":1,"syntology":{"n":9,"n_ran":4,"n_constructed":1,"n_ran_checked":1,"n_instrument":3,"n_unverified":5,"n_honours":0,"n_violates":0,"n_no_contract":1,"n_pointer_only":3,"phrase":"4 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; 3 where Syntology's instrument failed) · 5 unverified","sample_list":"/paper/resurrecting-old-classes-with-new-data-for#ran","syntology_url":"https://syntology.ai/paper/2405.19074","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2405.19074"}},"official":{"repos":["dipamgoswami/adc"],"state":"official (archive's flag): 4 ran","n_ran":4,"n_constructed":1,"n_ran_no_instrument_failure":1,"n_unverified":5,"ran_from_kinds":["official"]}}},{"url":"/paper/ds-al-a-dual-stream-analytic-learning-for","slug":"ds-al-a-dual-stream-analytic-learning-for","title":"DS-AL: A Dual-Stream Analytic Learning for Exemplar-Free Class-Incremental Learning","date":"2024-03-26","arxiv_id":"2403.17503","repositories_listed":1,"syntology":{"n":5,"n_ran":3,"n_constructed":3,"n_ran_checked":3,"n_instrument":0,"n_unverified":2,"n_honours":0,"n_violates":0,"n_no_contract":3,"n_pointer_only":0,"phrase":"3 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; 0 where Syntology's instrument failed) · 2 unverified; every one of the 3 samples that ran constructed an object rather than computing a result","sample_list":"/paper/ds-al-a-dual-stream-analytic-learning-for#ran","syntology_url":"https://syntology.ai/paper/2403.17503","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2403.17503"}},"official":{"repos":["ZHUANGHP/Analytic-continual-learning"],"state":"official (archive's flag): 3 ran","n_ran":3,"n_constructed":3,"n_ran_no_instrument_failure":3,"n_unverified":2,"ran_from_kinds":["official"]}}},{"url":"/paper/g-acil-analytic-learning-for-exemplar-free","slug":"g-acil-analytic-learning-for-exemplar-free","title":"GACL: Exemplar-Free Generalized Analytic Continual Learning","date":"2024-03-23","arxiv_id":"2403.15706","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":1,"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/g-acil-analytic-learning-for-exemplar-free#ran","syntology_url":"https://syntology.ai/paper/2403.15706","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2403.15706"}},"official":{"repos":["ZHUANGHP/Analytic-continual-learning","chen-yizhu/gacl"],"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/aocil-exemplar-free-analytic-online-class","slug":"aocil-exemplar-free-analytic-online-class","title":"F-OAL: Forward-only Online Analytic Learning with Fast Training and Low Memory Footprint in Class Incremental Learning","date":"2024-03-23","arxiv_id":"2403.15751","repositories_listed":1,"syntology":{"n":4,"n_ran":3,"n_constructed":0,"n_ran_checked":2,"n_instrument":1,"n_unverified":1,"n_honours":0,"n_violates":0,"n_no_contract":2,"n_pointer_only":4,"phrase":"3 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; 1 where Syntology's instrument failed) · 1 unverified","sample_list":"/paper/aocil-exemplar-free-analytic-online-class#ran","syntology_url":"https://syntology.ai/paper/2403.15751","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2403.15751"}},"official":{"repos":["liuyuchen-cz/f-oal"],"state":"official (archive's flag): 3 ran","n_ran":3,"n_constructed":0,"n_ran_no_instrument_failure":2,"n_unverified":1,"ran_from_kinds":["official"]}}},{"url":"/paper/randumb-a-simple-approach-that-questions-the","slug":"randumb-a-simple-approach-that-questions-the","title":"Random Representations Outperform Online Continually Learned Representations","date":"2024-02-13","arxiv_id":"2402.08823","repositories_listed":1,"syntology":{"n":3,"n_ran":3,"n_constructed":0,"n_ran_checked":3,"n_instrument":0,"n_unverified":0,"n_honours":0,"n_violates":0,"n_no_contract":3,"n_pointer_only":3,"phrase":"3 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; 0 where Syntology's instrument failed) · 0 unverified","sample_list":"/paper/randumb-a-simple-approach-that-questions-the#ran","syntology_url":"https://syntology.ai/paper/2402.08823","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2402.08823"}},"official":{"repos":["drimpossible/randumb"],"state":"official (archive's flag): 3 ran","n_ran":3,"n_constructed":0,"n_ran_no_instrument_failure":3,"n_unverified":0,"ran_from_kinds":["official"]}}},{"url":"/paper/elastic-feature-consolidation-for-cold-start","slug":"elastic-feature-consolidation-for-cold-start","title":"Elastic Feature Consolidation for Cold Start Exemplar-Free Incremental Learning","date":"2024-02-06","arxiv_id":"2402.03917","repositories_listed":1,"syntology":{"n":13,"n_ran":4,"n_constructed":0,"n_ran_checked":2,"n_instrument":2,"n_unverified":9,"n_honours":1,"n_violates":0,"n_no_contract":1,"n_pointer_only":0,"phrase":"4 ran (of which 0 constructed an object rather than computing a result; 2 with no instrument failure: 1 honoured, 0 violated, 1 with no contract checked; 2 where Syntology's instrument failed) · 9 unverified","sample_list":"/paper/elastic-feature-consolidation-for-cold-start#ran","syntology_url":"https://syntology.ai/paper/2402.03917","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2402.03917"}},"official":{"repos":["simomagi/elastic_feature_consolidation"],"state":"official (archive's flag): 4 ran","n_ran":4,"n_constructed":0,"n_ran_no_instrument_failure":2,"n_unverified":9,"ran_from_kinds":["official"]}}},{"url":"/paper/divide-and-not-forget-ensemble-of-selectively","slug":"divide-and-not-forget-ensemble-of-selectively","title":"Divide and not forget: Ensemble of selectively trained experts in Continual Learning","date":"2024-01-18","arxiv_id":"2401.10191","repositories_listed":1,"syntology":{"n":10,"n_ran":9,"n_constructed":4,"n_ran_checked":5,"n_instrument":4,"n_unverified":1,"n_honours":0,"n_violates":0,"n_no_contract":5,"n_pointer_only":0,"phrase":"9 ran (of which 4 constructed an object rather than computing a result; 5 with no instrument failure: 0 honoured, 0 violated, 5 with no contract checked; 4 where Syntology's instrument failed) · 1 unverified","sample_list":"/paper/divide-and-not-forget-ensemble-of-selectively#ran","syntology_url":"https://syntology.ai/paper/2401.10191","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2401.10191"}},"official":{"repos":["grypesc/seed"],"state":"official (archive's flag): 9 ran","n_ran":9,"n_constructed":4,"n_ran_no_instrument_failure":5,"n_unverified":1,"ran_from_kinds":["official"]}}},{"url":"/paper/fecam-exploiting-the-heterogeneity-of-class-1","slug":"fecam-exploiting-the-heterogeneity-of-class-1","title":"FeCAM: Exploiting the Heterogeneity of Class Distributions in Exemplar-Free Continual Learning","date":"2023-09-25","arxiv_id":"2309.14062","repositories_listed":3,"syntology":{"n":21,"n_ran":15,"n_constructed":1,"n_ran_checked":10,"n_instrument":5,"n_unverified":6,"n_honours":2,"n_violates":0,"n_no_contract":8,"n_pointer_only":5,"phrase":"15 ran (of which 1 constructed an object rather than computing a result; 10 with no instrument failure: 2 honoured, 0 violated, 8 with no contract checked; 5 where Syntology's instrument failed) · 6 unverified","sample_list":"/paper/fecam-exploiting-the-heterogeneity-of-class-1#ran","syntology_url":"https://syntology.ai/paper/2309.14062","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2309.14062"}},"official":{"repos":["dipamgoswami/fecam"],"state":"official (archive's flag): 11 ran","n_ran":11,"n_constructed":0,"n_ran_no_instrument_failure":6,"n_unverified":4,"ran_from_kinds":["listed","official"]}}},{"url":"/paper/plasticity-optimized-complementary-networks","slug":"plasticity-optimized-complementary-networks","title":"Plasticity-Optimized Complementary Networks for Unsupervised Continual Learning","date":"2023-09-12","arxiv_id":"2309.06086","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":5,"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/plasticity-optimized-complementary-networks#ran","syntology_url":"https://syntology.ai/paper/2309.06086","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2309.06086"}},"official":{"repos":["alviur/pocon_wacv2024"],"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/when-prompt-based-incremental-learning-does","slug":"when-prompt-based-incremental-learning-does","title":"When Prompt-based Incremental Learning Does Not Meet Strong Pretraining","date":"2023-08-21","arxiv_id":"2308.10445","repositories_listed":1,"syntology":{"n":15,"n_ran":14,"n_constructed":0,"n_ran_checked":12,"n_instrument":2,"n_unverified":1,"n_honours":0,"n_violates":0,"n_no_contract":12,"n_pointer_only":2,"phrase":"14 ran (of which 0 constructed an object rather than computing a result; 12 with no instrument failure: 0 honoured, 0 violated, 12 with no contract checked; 2 where Syntology's instrument failed) · 1 unverified","sample_list":"/paper/when-prompt-based-incremental-learning-does#ran","syntology_url":"https://syntology.ai/paper/2308.10445","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2308.10445"}},"official":{"repos":["tom-tym/apg"],"state":"official (archive's flag): 14 ran","n_ran":14,"n_constructed":0,"n_ran_no_instrument_failure":12,"n_unverified":1,"ran_from_kinds":["official"]}}},{"url":"/paper/adapt-your-teacher-improving-knowledge","slug":"adapt-your-teacher-improving-knowledge","title":"Adapt Your Teacher: Improving Knowledge Distillation for Exemplar-free Continual Learning","date":"2023-08-18","arxiv_id":"2308.09544","repositories_listed":1,"syntology":{"n":3,"n_ran":3,"n_constructed":0,"n_ran_checked":3,"n_instrument":0,"n_unverified":0,"n_honours":0,"n_violates":0,"n_no_contract":3,"n_pointer_only":0,"phrase":"3 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; 0 where Syntology's instrument failed) · 0 unverified","sample_list":"/paper/adapt-your-teacher-improving-knowledge#ran","syntology_url":"https://syntology.ai/paper/2308.09544","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2308.09544"}},"official":{"repos":["fszatkowski/cl-teacher-adaptation"],"state":"official (archive's flag): 3 ran","n_ran":3,"n_constructed":0,"n_ran_no_instrument_failure":3,"n_unverified":0,"ran_from_kinds":["official"]}}},{"url":"/paper/s-prompts-learning-with-pre-trained","slug":"s-prompts-learning-with-pre-trained","title":"S-Prompts Learning with Pre-trained Transformers: An Occam's Razor for Domain Incremental Learning","date":"2022-07-26","arxiv_id":"2207.12819","repositories_listed":2,"syntology":{"n":8,"n_ran":6,"n_constructed":0,"n_ran_checked":3,"n_instrument":3,"n_unverified":2,"n_honours":0,"n_violates":0,"n_no_contract":3,"n_pointer_only":6,"phrase":"6 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; 3 where Syntology's instrument failed) · 2 unverified","sample_list":"/paper/s-prompts-learning-with-pre-trained#ran","syntology_url":"https://syntology.ai/paper/2207.12819","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2207.12819"}},"official":{"repos":["g-u-n/pycil","iamwangyabin/s-prompts"],"state":"official (archive's flag): 6 ran","n_ran":6,"n_constructed":0,"n_ran_no_instrument_failure":3,"n_unverified":2,"ran_from_kinds":["official"]}}},{"url":"/paper/towards-exemplar-free-continual-learning-in","slug":"towards-exemplar-free-continual-learning-in","title":"Towards Exemplar-Free Continual Learning in Vision Transformers: an Account of Attention, Functional and Weight Regularization","date":"2022-03-24","arxiv_id":"2203.13167","repositories_listed":1,"syntology":{"n":7,"n_ran":4,"n_constructed":0,"n_ran_checked":3,"n_instrument":1,"n_unverified":3,"n_honours":0,"n_violates":1,"n_no_contract":2,"n_pointer_only":0,"phrase":"4 ran (of which 0 constructed an object rather than computing a result; 3 with no instrument failure: 0 honoured, 1 violated, 2 with no contract checked; 1 where Syntology's instrument failed) · 3 unverified","sample_list":"/paper/towards-exemplar-free-continual-learning-in#ran","syntology_url":"https://syntology.ai/paper/2203.13167","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2203.13167"}},"official":{"repos":["srvCodes/continual_learning_with_vit"],"state":"official (archive's flag): 4 ran","n_ran":4,"n_constructed":0,"n_ran_no_instrument_failure":3,"n_unverified":3,"ran_from_kinds":["official"]}}}],"record_sha256":"67de163d6fcf719bc7ce792a659d02ffda51fd4eb06e10d1bbf2d52410c98d24","record_changed_at":"2026-09-28","record_changed_at_basis":"first_hashed"}