{"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/test-time-adaptation/papers/ran/1","list_of":"/task/test-time-adaptation","task":"Test-time Adaptation","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":2,"rows_per_page":100,"rows":[1,100],"of":111,"counts":{"archive_papers_tagged":484,"with_a_code_link":229,"where_syntology_ran_a_sample":111,"not_listed_spam_title":0,"listed":484,"listed_where_code_ran":111,"where_syntology_ran_a_sample_split":{"with_a_run_with_no_instrument_failure":91,"every_run_a_failure_of_syntologys_instrument":20,"listed_with_a_run_with_no_instrument_failure":91,"listed_every_run_a_failure_of_syntologys_instrument":20,"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/test-time-adaptation/papers/ran/1","prev":null,"next":"/task/test-time-adaptation/papers/ran/2","papers":[{"url":"/paper/dc-tta-divide-and-conquer-framework-for-test","slug":"dc-tta-divide-and-conquer-framework-for-test","title":"DC-TTA: Divide-and-Conquer Framework for Test-Time Adaptation of Interactive Segmentation","date":"2025-06-29","arxiv_id":"2506.23104","repositories_listed":0,"syntology":{"n":2,"n_ran":1,"n_constructed":0,"n_ran_checked":1,"n_instrument":0,"n_unverified":1,"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) · 1 unverified","sample_list":"/paper/dc-tta-divide-and-conquer-framework-for-test#ran","syntology_url":"https://syntology.ai/paper/2506.23104","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2506.23104"}},"official":null}},{"url":"/paper/e-bats-efficient-backpropagation-free-test","slug":"e-bats-efficient-backpropagation-free-test","title":"E-BATS: Efficient Backpropagation-Free Test-Time Adaptation for Speech Foundation Models","date":"2025-06-08","arxiv_id":"2506.07078","repositories_listed":0,"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":4,"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/e-bats-efficient-backpropagation-free-test#ran","syntology_url":"https://syntology.ai/paper/2506.07078","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2506.07078"}},"official":null}},{"url":"/paper/texttt-avrobustbench-benchmarking-the","slug":"texttt-avrobustbench-benchmarking-the","title":"$\\texttt{AVROBUSTBENCH}$: Benchmarking the Robustness of Audio-Visual Recognition Models at Test-Time","date":"2025-05-31","arxiv_id":"2506.00358","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":0,"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/texttt-avrobustbench-benchmarking-the#ran","syntology_url":"https://syntology.ai/paper/2506.00358","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2506.00358"}},"official":{"repos":["sarthaxxxxx/av-c-robustness-benchmark"],"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/test-time-adaptation-with-binary-feedback","slug":"test-time-adaptation-with-binary-feedback","title":"Test-Time Adaptation with Binary Feedback","date":"2025-05-24","arxiv_id":"2505.18514","repositories_listed":1,"syntology":{"n":13,"n_ran":13,"n_constructed":0,"n_ran_checked":10,"n_instrument":3,"n_unverified":0,"n_honours":1,"n_violates":0,"n_no_contract":9,"n_pointer_only":3,"phrase":"13 ran (of which 0 constructed an object rather than computing a result; 10 with no instrument failure: 1 honoured, 0 violated, 9 with no contract checked; 3 where Syntology's instrument failed) · 0 unverified","sample_list":"/paper/test-time-adaptation-with-binary-feedback#ran","syntology_url":"https://syntology.ai/paper/2505.18514","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2505.18514"}},"official":{"repos":["taeckyung/bitta"],"state":"official (archive's flag): 13 ran","n_ran":13,"n_constructed":0,"n_ran_no_instrument_failure":10,"n_unverified":0,"ran_from_kinds":["official"]}}},{"url":"/paper/ranked-entropy-minimization-for-continual","slug":"ranked-entropy-minimization-for-continual","title":"Ranked Entropy Minimization for Continual Test-Time Adaptation","date":"2025-05-22","arxiv_id":"2505.16441","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":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) · 1 unverified","sample_list":"/paper/ranked-entropy-minimization-for-continual#ran","syntology_url":"https://syntology.ai/paper/2505.16441","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2505.16441"}},"official":{"repos":["pilshan/rem"],"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/space-spike-aware-consistency-enhancement-for","slug":"space-spike-aware-consistency-enhancement-for","title":"SPACE: SPike-Aware Consistency Enhancement for Test-Time Adaptation in Spiking Neural Networks","date":"2025-04-03","arxiv_id":"2504.02298","repositories_listed":0,"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/space-spike-aware-consistency-enhancement-for#ran","syntology_url":"https://syntology.ai/paper/2504.02298","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2504.02298"}},"official":null}},{"url":"/paper/surgeon-memory-adaptive-fully-test-time","slug":"surgeon-memory-adaptive-fully-test-time","title":"SURGEON: Memory-Adaptive Fully Test-Time Adaptation via Dynamic Activation Sparsity","date":"2025-03-26","arxiv_id":"2503.20354","repositories_listed":1,"syntology":{"n":19,"n_ran":15,"n_constructed":4,"n_ran_checked":10,"n_instrument":5,"n_unverified":4,"n_honours":5,"n_violates":1,"n_no_contract":4,"n_pointer_only":19,"phrase":"15 ran (of which 4 constructed an object rather than computing a result; 10 with no instrument failure: 5 honoured, 1 violated, 4 with no contract checked; 5 where Syntology's instrument failed) · 4 unverified","sample_list":"/paper/surgeon-memory-adaptive-fully-test-time#ran","syntology_url":"https://syntology.ai/paper/2503.20354","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2503.20354"}},"official":null}},{"url":"/paper/scap-transductive-test-time-adaptation-via-1","slug":"scap-transductive-test-time-adaptation-via-1","title":"SCAP: Transductive Test-Time Adaptation via Supportive Clique-based Attribute Prompting","date":"2025-03-17","arxiv_id":"2503.12866","repositories_listed":1,"syntology":{"n":4,"n_ran":1,"n_constructed":0,"n_ran_checked":0,"n_instrument":1,"n_unverified":3,"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) · 3 unverified","sample_list":"/paper/scap-transductive-test-time-adaptation-via-1#ran","syntology_url":"https://syntology.ai/paper/2503.12866","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2503.12866"}},"official":{"repos":["zhoujiahuan1991/cvpr2025-scap"],"state":"official (archive's flag): 1 ran","n_ran":1,"n_constructed":0,"n_ran_no_instrument_failure":0,"n_unverified":3,"ran_from_kinds":["official"]}}},{"url":"/paper/test-time-domain-generalization-via-universe","slug":"test-time-domain-generalization-via-universe","title":"Test-Time Domain Generalization via Universe Learning: A Multi-Graph Matching Approach for Medical Image Segmentation","date":"2025-03-17","arxiv_id":"2503.13012","repositories_listed":1,"syntology":{"n":5,"n_ran":4,"n_constructed":0,"n_ran_checked":4,"n_instrument":0,"n_unverified":1,"n_honours":0,"n_violates":0,"n_no_contract":4,"n_pointer_only":5,"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) · 1 unverified","sample_list":"/paper/test-time-domain-generalization-via-universe#ran","syntology_url":"https://syntology.ai/paper/2503.13012","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2503.13012"}},"official":{"repos":["yore0/ttdg-mgm"],"state":"official (archive's flag): 4 ran","n_ran":4,"n_constructed":0,"n_ran_no_instrument_failure":4,"n_unverified":1,"ran_from_kinds":["official"]}}},{"url":"/paper/smoothing-the-shift-towards-stable-test-time","slug":"smoothing-the-shift-towards-stable-test-time","title":"Smoothing the Shift: Towards Stable Test-Time Adaptation under Complex Multimodal Noises","date":"2025-03-04","arxiv_id":"2503.02616","repositories_listed":1,"syntology":{"n":5,"n_ran":5,"n_constructed":1,"n_ran_checked":1,"n_instrument":4,"n_unverified":0,"n_honours":0,"n_violates":0,"n_no_contract":1,"n_pointer_only":0,"phrase":"5 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; 4 where Syntology's instrument failed) · 0 unverified","sample_list":"/paper/smoothing-the-shift-towards-stable-test-time#ran","syntology_url":"https://syntology.ai/paper/2503.02616","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2503.02616"}},"official":{"repos":["zrguo/sumi"],"state":"official (archive's flag): 5 ran","n_ran":5,"n_constructed":1,"n_ran_no_instrument_failure":1,"n_unverified":0,"ran_from_kinds":["official"]}}},{"url":"/paper/scalable-benchmarking-and-robust-learning-for","slug":"scalable-benchmarking-and-robust-learning-for","title":"Scalable Benchmarking and Robust Learning for Noise-Free Ego-Motion and 3D Reconstruction from Noisy Video","date":"2025-01-24","arxiv_id":"2501.14319","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/scalable-benchmarking-and-robust-learning-for#ran","syntology_url":"https://syntology.ai/paper/2501.14319","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2501.14319"}},"official":{"repos":["xiaohao-xu/slam-under-perturbation"],"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/towards-robust-multimodal-open-set-test-time","slug":"towards-robust-multimodal-open-set-test-time","title":"Towards Robust Multimodal Open-set Test-time Adaptation via Adaptive Entropy-aware Optimization","date":"2025-01-23","arxiv_id":"2501.13924","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/towards-robust-multimodal-open-set-test-time#ran","syntology_url":"https://syntology.ai/paper/2501.13924","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2501.13924"}},"official":{"repos":["donghao51/aeo"],"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/battling-the-non-stationarity-in-time-series","slug":"battling-the-non-stationarity-in-time-series","title":"Battling the Non-stationarity in Time Series Forecasting via Test-time Adaptation","date":"2025-01-09","arxiv_id":"2501.04970","repositories_listed":1,"syntology":{"n":31,"n_ran":12,"n_constructed":0,"n_ran_checked":9,"n_instrument":3,"n_unverified":19,"n_honours":0,"n_violates":0,"n_no_contract":9,"n_pointer_only":31,"phrase":"12 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; 3 where Syntology's instrument failed) · 19 unverified","sample_list":"/paper/battling-the-non-stationarity-in-time-series#ran","syntology_url":"https://syntology.ai/paper/2501.04970","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2501.04970"}},"official":{"repos":["kimanki/tafas"],"state":"official (archive's flag): 12 ran","n_ran":12,"n_constructed":0,"n_ran_no_instrument_failure":9,"n_unverified":19,"ran_from_kinds":["official"]}}},{"url":"/paper/online-gaussian-test-time-adaptation-of","slug":"online-gaussian-test-time-adaptation-of","title":"Online Gaussian Test-Time Adaptation of Vision-Language Models","date":"2025-01-08","arxiv_id":"2501.04352","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/online-gaussian-test-time-adaptation-of#ran","syntology_url":"https://syntology.ai/paper/2501.04352","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2501.04352"}},"official":{"repos":["cfuchs2023/oga"],"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/realistic-test-time-adaptation-of-vision","slug":"realistic-test-time-adaptation-of-vision","title":"Realistic Test-Time Adaptation of Vision-Language Models","date":"2025-01-07","arxiv_id":"2501.03729","repositories_listed":1,"syntology":{"n":9,"n_ran":5,"n_constructed":1,"n_ran_checked":2,"n_instrument":3,"n_unverified":4,"n_honours":1,"n_violates":0,"n_no_contract":1,"n_pointer_only":9,"phrase":"5 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; 3 where Syntology's instrument failed) · 4 unverified","sample_list":"/paper/realistic-test-time-adaptation-of-vision#ran","syntology_url":"https://syntology.ai/paper/2501.03729","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2501.03729"}},"official":{"repos":["maxzanella/stata"],"state":"official (archive's flag): 5 ran","n_ran":5,"n_constructed":1,"n_ran_no_instrument_failure":2,"n_unverified":4,"ran_from_kinds":["official"]}}},{"url":"/paper/diffusion-enhanced-test-time-adaptation-with","slug":"diffusion-enhanced-test-time-adaptation-with","title":"Diffusion-Enhanced Test-time Adaptation with Text and Image Augmentation","date":"2024-12-12","arxiv_id":"2412.09706","repositories_listed":1,"syntology":{"n":6,"n_ran":4,"n_constructed":0,"n_ran_checked":1,"n_instrument":3,"n_unverified":2,"n_honours":1,"n_violates":0,"n_no_contract":0,"n_pointer_only":6,"phrase":"4 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; 3 where Syntology's instrument failed) · 2 unverified","sample_list":"/paper/diffusion-enhanced-test-time-adaptation-with#ran","syntology_url":"https://syntology.ai/paper/2412.09706","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2412.09706"}},"official":{"repos":["chunmeifeng/difftpt"],"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","unlocated"]}}},{"url":"/paper/bridging-the-gap-for-test-time-multimodal","slug":"bridging-the-gap-for-test-time-multimodal","title":"Bridging the Gap for Test-Time Multimodal Sentiment Analysis","date":"2024-12-10","arxiv_id":"2412.07121","repositories_listed":1,"syntology":{"n":10,"n_ran":7,"n_constructed":1,"n_ran_checked":5,"n_instrument":2,"n_unverified":3,"n_honours":2,"n_violates":1,"n_no_contract":2,"n_pointer_only":4,"phrase":"7 ran (of which 1 constructed an object rather than computing a result; 5 with no instrument failure: 2 honoured, 1 violated, 2 with no contract checked; 2 where Syntology's instrument failed) · 3 unverified","sample_list":"/paper/bridging-the-gap-for-test-time-multimodal#ran","syntology_url":"https://syntology.ai/paper/2412.07121","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2412.07121"}},"official":{"repos":["zrguo/casp"],"state":"official (archive's flag): 7 ran","n_ran":7,"n_constructed":1,"n_ran_no_instrument_failure":5,"n_unverified":3,"ran_from_kinds":["official"]}}},{"url":"/paper/t-time-test-time-information-maximization","slug":"t-time-test-time-information-maximization","title":"T-TIME: Test-Time Information Maximization Ensemble for Plug-and-Play BCIs","date":"2024-12-10","arxiv_id":"2412.07228","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":3,"n_no_contract":0,"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, 3 violated, 0 with no contract checked; 0 where Syntology's instrument failed) · 0 unverified","sample_list":"/paper/t-time-test-time-information-maximization#ran","syntology_url":"https://syntology.ai/paper/2412.07228","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2412.07228"}},"official":{"repos":["sylyoung/DeepTransferEEG"],"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/searching-latent-program-spaces","slug":"searching-latent-program-spaces","title":"Searching Latent Program Spaces","date":"2024-11-13","arxiv_id":"2411.08706","repositories_listed":1,"syntology":{"n":9,"n_ran":4,"n_constructed":3,"n_ran_checked":3,"n_instrument":1,"n_unverified":5,"n_honours":0,"n_violates":0,"n_no_contract":3,"n_pointer_only":0,"phrase":"4 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; 1 where Syntology's instrument failed) · 5 unverified","sample_list":"/paper/searching-latent-program-spaces#ran","syntology_url":"https://syntology.ai/paper/2411.08706","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2411.08706"}},"official":{"repos":["clement-bonnet/lpn"],"state":"official (archive's flag): 4 ran","n_ran":4,"n_constructed":3,"n_ran_no_instrument_failure":3,"n_unverified":5,"ran_from_kinds":["official"]}}},{"url":"/paper/umfc-unsupervised-multi-domain-feature","slug":"umfc-unsupervised-multi-domain-feature","title":"UMFC: Unsupervised Multi-Domain Feature Calibration for Vision-Language Models","date":"2024-11-11","arxiv_id":"2411.06921","repositories_listed":1,"syntology":{"n":4,"n_ran":2,"n_constructed":0,"n_ran_checked":2,"n_instrument":0,"n_unverified":2,"n_honours":0,"n_violates":0,"n_no_contract":2,"n_pointer_only":4,"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) · 2 unverified","sample_list":"/paper/umfc-unsupervised-multi-domain-feature#ran","syntology_url":"https://syntology.ai/paper/2411.06921","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2411.06921"}},"official":{"repos":["git-ljc/umfc"],"state":"official (archive's flag): 2 ran","n_ran":2,"n_constructed":0,"n_ran_no_instrument_failure":2,"n_unverified":2,"ran_from_kinds":["official"]}}},{"url":"/paper/talos-enhancing-semantic-scene-completion-via","slug":"talos-enhancing-semantic-scene-completion-via","title":"TALoS: Enhancing Semantic Scene Completion via Test-time Adaptation on the Line of Sight","date":"2024-10-21","arxiv_id":"2410.15674","repositories_listed":1,"syntology":{"n":17,"n_ran":14,"n_constructed":0,"n_ran_checked":11,"n_instrument":3,"n_unverified":3,"n_honours":2,"n_violates":1,"n_no_contract":8,"n_pointer_only":17,"phrase":"14 ran (of which 0 constructed an object rather than computing a result; 11 with no instrument failure: 2 honoured, 1 violated, 8 with no contract checked; 3 where Syntology's instrument failed) · 3 unverified","sample_list":"/paper/talos-enhancing-semantic-scene-completion-via#ran","syntology_url":"https://syntology.ai/paper/2410.15674","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2410.15674"}},"official":{"repos":["blue-531/talos"],"state":"official (archive's flag): 14 ran","n_ran":14,"n_constructed":0,"n_ran_no_instrument_failure":11,"n_unverified":3,"ran_from_kinds":["official"]}}},{"url":"/paper/boostadapter-improving-test-time-adaptation","slug":"boostadapter-improving-test-time-adaptation","title":"BoostAdapter: Improving Vision-Language Test-Time Adaptation via Regional Bootstrapping","date":"2024-10-20","arxiv_id":"2410.15430","repositories_listed":1,"syntology":{"n":10,"n_ran":5,"n_constructed":0,"n_ran_checked":0,"n_instrument":5,"n_unverified":5,"n_honours":0,"n_violates":0,"n_no_contract":0,"n_pointer_only":1,"phrase":"5 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; 5 where Syntology's instrument failed) · 5 unverified","sample_list":"/paper/boostadapter-improving-test-time-adaptation#ran","syntology_url":"https://syntology.ai/paper/2410.15430","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2410.15430"}},"official":{"repos":["taolinzhang/boostadapter"],"state":"official (archive's flag): 4 ran","n_ran":4,"n_constructed":0,"n_ran_no_instrument_failure":0,"n_unverified":5,"ran_from_kinds":["official","unlocated"]}}},{"url":"/paper/dual-prototype-evolving-for-test-time","slug":"dual-prototype-evolving-for-test-time","title":"Dual Prototype Evolving for Test-Time Generalization of Vision-Language Models","date":"2024-10-16","arxiv_id":"2410.12790","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":0,"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/dual-prototype-evolving-for-test-time#ran","syntology_url":"https://syntology.ai/paper/2410.12790","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2410.12790"}},"official":{"repos":["zhangce01/DPE-CLIP"],"state":"official (archive's flag): 2 ran","n_ran":2,"n_constructed":0,"n_ran_no_instrument_failure":0,"n_unverified":0,"ran_from_kinds":["official"]}}},{"url":"/paper/adarc-mitigating-graph-structure-shifts","slug":"adarc-mitigating-graph-structure-shifts","title":"AdaRC: Mitigating Graph Structure Shifts during Test-Time","date":"2024-10-09","arxiv_id":"2410.06976","repositories_listed":0,"syntology":{"n":7,"n_ran":3,"n_constructed":0,"n_ran_checked":0,"n_instrument":3,"n_unverified":4,"n_honours":0,"n_violates":0,"n_no_contract":0,"n_pointer_only":7,"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) · 4 unverified","sample_list":"/paper/adarc-mitigating-graph-structure-shifts#ran","syntology_url":"https://syntology.ai/paper/2410.06976","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2410.06976"}},"official":null}},{"url":"/paper/llm-embeddings-improve-test-time-adaptation","slug":"llm-embeddings-improve-test-time-adaptation","title":"LLM Embeddings Improve Test-time Adaptation to Tabular $Y|X$-Shifts","date":"2024-10-09","arxiv_id":"2410.07395","repositories_listed":1,"syntology":{"n":7,"n_ran":6,"n_constructed":0,"n_ran_checked":1,"n_instrument":5,"n_unverified":1,"n_honours":0,"n_violates":0,"n_no_contract":1,"n_pointer_only":7,"phrase":"6 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; 5 where Syntology's instrument failed) · 1 unverified","sample_list":"/paper/llm-embeddings-improve-test-time-adaptation#ran","syntology_url":"https://syntology.ai/paper/2410.07395","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2410.07395"}},"official":{"repos":["namkoong-lab/llm-tabular-shifts"],"state":"official (archive's flag): 6 ran","n_ran":6,"n_constructed":0,"n_ran_no_instrument_failure":1,"n_unverified":1,"ran_from_kinds":["official"]}}},{"url":"/paper/test-time-adaptation-for-regression-by","slug":"test-time-adaptation-for-regression-by","title":"Test-time Adaptation for Regression by Subspace Alignment","date":"2024-10-04","arxiv_id":"2410.03263","repositories_listed":1,"syntology":{"n":8,"n_ran":6,"n_constructed":0,"n_ran_checked":6,"n_instrument":0,"n_unverified":2,"n_honours":0,"n_violates":0,"n_no_contract":6,"n_pointer_only":8,"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) · 2 unverified","sample_list":"/paper/test-time-adaptation-for-regression-by#ran","syntology_url":"https://syntology.ai/paper/2410.03263","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2410.03263"}},"official":{"repos":["kzkadc/regression-tta"],"state":"official (archive's flag): 6 ran","n_ran":6,"n_constructed":0,"n_ran_no_instrument_failure":6,"n_unverified":2,"ran_from_kinds":["official"]}}},{"url":"/paper/dual-path-adversarial-lifting-for-domain","slug":"dual-path-adversarial-lifting-for-domain","title":"Dual-Path Adversarial Lifting for Domain Shift Correction in Online Test-time Adaptation","date":"2024-08-26","arxiv_id":"2408.13983","repositories_listed":1,"syntology":{"n":20,"n_ran":16,"n_constructed":0,"n_ran_checked":13,"n_instrument":3,"n_unverified":4,"n_honours":0,"n_violates":0,"n_no_contract":13,"n_pointer_only":1,"phrase":"16 ran (of which 0 constructed an object rather than computing a result; 13 with no instrument failure: 0 honoured, 0 violated, 13 with no contract checked; 3 where Syntology's instrument failed) · 4 unverified","sample_list":"/paper/dual-path-adversarial-lifting-for-domain#ran","syntology_url":"https://syntology.ai/paper/2408.13983","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2408.13983"}},"official":{"repos":["yushuntang/dpal"],"state":"official (archive's flag): 16 ran","n_ran":16,"n_constructed":0,"n_ran_no_instrument_failure":13,"n_unverified":4,"ran_from_kinds":["official"]}}},{"url":"/paper/cloudfixer-test-time-adaptation-for-3d-point","slug":"cloudfixer-test-time-adaptation-for-3d-point","title":"CloudFixer: Test-Time Adaptation for 3D Point Clouds via Diffusion-Guided Geometric Transformation","date":"2024-07-23","arxiv_id":"2407.16193","repositories_listed":0,"syntology":{"n":16,"n_ran":13,"n_constructed":0,"n_ran_checked":11,"n_instrument":2,"n_unverified":3,"n_honours":0,"n_violates":1,"n_no_contract":10,"n_pointer_only":1,"phrase":"13 ran (of which 0 constructed an object rather than computing a result; 11 with no instrument failure: 0 honoured, 1 violated, 10 with no contract checked; 2 where Syntology's instrument failed) · 3 unverified","sample_list":"/paper/cloudfixer-test-time-adaptation-for-3d-point#ran","syntology_url":"https://syntology.ai/paper/2407.16193","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2407.16193"}},"official":null}},{"url":"/paper/stamp-outlier-aware-test-time-adaptation-with","slug":"stamp-outlier-aware-test-time-adaptation-with","title":"STAMP: Outlier-Aware Test-Time Adaptation with Stable Memory Replay","date":"2024-07-22","arxiv_id":"2407.15773","repositories_listed":1,"syntology":{"n":2,"n_ran":2,"n_constructed":0,"n_ran_checked":1,"n_instrument":1,"n_unverified":0,"n_honours":1,"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; 1 with no instrument failure: 1 honoured, 0 violated, 0 with no contract checked; 1 where Syntology's instrument failed) · 0 unverified","sample_list":"/paper/stamp-outlier-aware-test-time-adaptation-with#ran","syntology_url":"https://syntology.ai/paper/2407.15773","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2407.15773"}},"official":{"repos":["yuyongcan/stamp"],"state":"official (archive's flag): 2 ran","n_ran":2,"n_constructed":0,"n_ran_no_instrument_failure":1,"n_unverified":0,"ran_from_kinds":["official"]}}},{"url":"/paper/robust-calibration-of-large-vision-language","slug":"robust-calibration-of-large-vision-language","title":"Robust Calibration of Large Vision-Language Adapters","date":"2024-07-18","arxiv_id":"2407.13588","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/robust-calibration-of-large-vision-language#ran","syntology_url":"https://syntology.ai/paper/2407.13588","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2407.13588"}},"official":{"repos":["Bala93/CLIPCalib"],"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/hgl-hierarchical-geometry-learning-for-test","slug":"hgl-hierarchical-geometry-learning-for-test","title":"HGL: Hierarchical Geometry Learning for Test-time Adaptation in 3D Point Cloud Segmentation","date":"2024-07-17","arxiv_id":"2407.12387","repositories_listed":1,"syntology":{"n":5,"n_ran":5,"n_constructed":0,"n_ran_checked":0,"n_instrument":5,"n_unverified":0,"n_honours":0,"n_violates":0,"n_no_contract":0,"n_pointer_only":5,"phrase":"5 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; 5 where Syntology's instrument failed) · 0 unverified","sample_list":"/paper/hgl-hierarchical-geometry-learning-for-test#ran","syntology_url":"https://syntology.ai/paper/2407.12387","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2407.12387"}},"official":{"repos":["tpzou/hgl"],"state":"official (archive's flag): 5 ran","n_ran":5,"n_constructed":0,"n_ran_no_instrument_failure":0,"n_unverified":0,"ran_from_kinds":["official"]}}},{"url":"/paper/distribution-alignment-for-fully-test-time","slug":"distribution-alignment-for-fully-test-time","title":"Distribution Alignment for Fully Test-Time Adaptation with Dynamic Online Data Streams","date":"2024-07-16","arxiv_id":"2407.12128","repositories_listed":1,"syntology":{"n":17,"n_ran":13,"n_constructed":0,"n_ran_checked":11,"n_instrument":2,"n_unverified":4,"n_honours":0,"n_violates":0,"n_no_contract":11,"n_pointer_only":3,"phrase":"13 ran (of which 0 constructed an object rather than computing a result; 11 with no instrument failure: 0 honoured, 0 violated, 11 with no contract checked; 2 where Syntology's instrument failed) · 4 unverified","sample_list":"/paper/distribution-alignment-for-fully-test-time#ran","syntology_url":"https://syntology.ai/paper/2407.12128","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2407.12128"}},"official":{"repos":["WZq975/DA-TTA"],"state":"official (archive's flag): 13 ran","n_ran":13,"n_constructed":0,"n_ran_no_instrument_failure":11,"n_unverified":4,"ran_from_kinds":["official"]}}},{"url":"/paper/knowledge-composition-using-task-vectors-with","slug":"knowledge-composition-using-task-vectors-with","title":"Knowledge Composition using Task Vectors with Learned Anisotropic Scaling","date":"2024-07-03","arxiv_id":"2407.02880","repositories_listed":1,"syntology":{"n":4,"n_ran":3,"n_constructed":0,"n_ran_checked":1,"n_instrument":2,"n_unverified":1,"n_honours":0,"n_violates":1,"n_no_contract":0,"n_pointer_only":4,"phrase":"3 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; 2 where Syntology's instrument failed) · 1 unverified","sample_list":"/paper/knowledge-composition-using-task-vectors-with#ran","syntology_url":"https://syntology.ai/paper/2407.02880","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2407.02880"}},"official":{"repos":["fredzzhang/atlas"],"state":"official (archive's flag): 3 ran","n_ran":3,"n_constructed":0,"n_ran_no_instrument_failure":1,"n_unverified":1,"ran_from_kinds":["official"]}}},{"url":"/paper/a-data-centric-perspective-on-evaluating","slug":"a-data-centric-perspective-on-evaluating","title":"A Data-Centric Perspective on Evaluating Machine Learning Models for Tabular Data","date":"2024-07-02","arxiv_id":"2407.02112","repositories_listed":1,"syntology":{"n":6,"n_ran":3,"n_constructed":0,"n_ran_checked":3,"n_instrument":0,"n_unverified":3,"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) · 3 unverified","sample_list":"/paper/a-data-centric-perspective-on-evaluating#ran","syntology_url":"https://syntology.ai/paper/2407.02112","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2407.02112"}},"official":{"repos":["atschalz/dc_tabeval"],"state":"official (archive's flag): 3 ran","n_ran":3,"n_constructed":0,"n_ran_no_instrument_failure":3,"n_unverified":3,"ran_from_kinds":["official"]}}},{"url":"/paper/mos-model-synergy-for-test-time-adaptation-on","slug":"mos-model-synergy-for-test-time-adaptation-on","title":"MOS: Model Synergy for Test-Time Adaptation on LiDAR-Based 3D Object Detection","date":"2024-06-21","arxiv_id":"2406.14878","repositories_listed":1,"syntology":{"n":5,"n_ran":3,"n_constructed":0,"n_ran_checked":2,"n_instrument":1,"n_unverified":2,"n_honours":0,"n_violates":0,"n_no_contract":2,"n_pointer_only":5,"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) · 2 unverified","sample_list":"/paper/mos-model-synergy-for-test-time-adaptation-on#ran","syntology_url":"https://syntology.ai/paper/2406.14878","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2406.14878"}},"official":{"repos":["zhuoxiao-chen/mos"],"state":"official (archive's flag): 3 ran","n_ran":3,"n_constructed":0,"n_ran_no_instrument_failure":2,"n_unverified":2,"ran_from_kinds":["official"]}}},{"url":"/paper/watt-weight-average-test-time-adaption-of","slug":"watt-weight-average-test-time-adaption-of","title":"WATT: Weight Average Test-Time Adaptation of CLIP","date":"2024-06-19","arxiv_id":"2406.13875","repositories_listed":1,"syntology":{"n":7,"n_ran":5,"n_constructed":0,"n_ran_checked":0,"n_instrument":5,"n_unverified":2,"n_honours":0,"n_violates":0,"n_no_contract":0,"n_pointer_only":3,"phrase":"5 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; 5 where Syntology's instrument failed) · 2 unverified","sample_list":"/paper/watt-weight-average-test-time-adaption-of#ran","syntology_url":"https://syntology.ai/paper/2406.13875","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2406.13875"}},"official":{"repos":["mehrdad-noori/watt"],"state":"official (archive's flag): 5 ran","n_ran":5,"n_constructed":0,"n_ran_no_instrument_failure":0,"n_unverified":2,"ran_from_kinds":["official"]}}},{"url":"/paper/dpo-dual-perturbation-optimization-for-test","slug":"dpo-dual-perturbation-optimization-for-test","title":"DPO: Dual-Perturbation Optimization for Test-time Adaptation in 3D Object Detection","date":"2024-06-19","arxiv_id":"2406.13891","repositories_listed":1,"syntology":{"n":5,"n_ran":2,"n_constructed":0,"n_ran_checked":2,"n_instrument":0,"n_unverified":3,"n_honours":0,"n_violates":0,"n_no_contract":2,"n_pointer_only":0,"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) · 3 unverified","sample_list":"/paper/dpo-dual-perturbation-optimization-for-test#ran","syntology_url":"https://syntology.ai/paper/2406.13891","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2406.13891"}},"official":{"repos":["jo-wang/dpo"],"state":"official (archive's flag): 2 ran","n_ran":2,"n_constructed":0,"n_ran_no_instrument_failure":2,"n_unverified":3,"ran_from_kinds":["official"]}}},{"url":"/paper/dynamic-domains-dynamic-solutions-dpcore-for","slug":"dynamic-domains-dynamic-solutions-dpcore-for","title":"Dynamic Domains, Dynamic Solutions: DPCore for Continual Test-Time Adaptation","date":"2024-06-15","arxiv_id":"2406.10737","repositories_listed":1,"syntology":{"n":11,"n_ran":9,"n_constructed":0,"n_ran_checked":6,"n_instrument":3,"n_unverified":2,"n_honours":0,"n_violates":0,"n_no_contract":6,"n_pointer_only":1,"phrase":"9 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; 3 where Syntology's instrument failed) · 2 unverified","sample_list":"/paper/dynamic-domains-dynamic-solutions-dpcore-for#ran","syntology_url":"https://syntology.ai/paper/2406.10737","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2406.10737"}},"official":{"repos":["zybeich/DPCore"],"state":"official (archive's flag): 9 ran","n_ran":9,"n_constructed":0,"n_ran_no_instrument_failure":6,"n_unverified":2,"ran_from_kinds":["official"]}}},{"url":"/paper/ot-vp-optimal-transport-guided-visual","slug":"ot-vp-optimal-transport-guided-visual","title":"OT-VP: Optimal Transport-guided Visual Prompting for Test-Time Adaptation","date":"2024-06-12","arxiv_id":"2407.09498","repositories_listed":1,"syntology":{"n":16,"n_ran":12,"n_constructed":0,"n_ran_checked":9,"n_instrument":3,"n_unverified":4,"n_honours":0,"n_violates":0,"n_no_contract":9,"n_pointer_only":1,"phrase":"12 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; 3 where Syntology's instrument failed) · 4 unverified","sample_list":"/paper/ot-vp-optimal-transport-guided-visual#ran","syntology_url":"https://syntology.ai/paper/2407.09498","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2407.09498"}},"official":{"repos":["zybeich/ot-vp"],"state":"official (archive's flag): 12 ran","n_ran":12,"n_constructed":0,"n_ran_no_instrument_failure":9,"n_unverified":4,"ran_from_kinds":["official"]}}},{"url":"/paper/everything-to-the-synthetic-diffusion-driven","slug":"everything-to-the-synthetic-diffusion-driven","title":"Everything to the Synthetic: Diffusion-driven Test-time Adaptation via Synthetic-Domain Alignment","date":"2024-06-06","arxiv_id":"2406.04295","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/everything-to-the-synthetic-diffusion-driven#ran","syntology_url":"https://syntology.ai/paper/2406.04295","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2406.04295"}},"official":{"repos":["shi-labs/diffusion-driven-test-time-adaptation-via-synthetic-domain-alignment"],"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/frustratingly-easy-test-time-adaptation-of","slug":"frustratingly-easy-test-time-adaptation-of","title":"Frustratingly Easy Test-Time Adaptation of Vision-Language Models","date":"2024-05-28","arxiv_id":"2405.18330","repositories_listed":1,"syntology":{"n":8,"n_ran":4,"n_constructed":0,"n_ran_checked":1,"n_instrument":3,"n_unverified":4,"n_honours":0,"n_violates":0,"n_no_contract":1,"n_pointer_only":4,"phrase":"4 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; 3 where Syntology's instrument failed) · 4 unverified","sample_list":"/paper/frustratingly-easy-test-time-adaptation-of#ran","syntology_url":"https://syntology.ai/paper/2405.18330","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2405.18330"}},"official":{"repos":["farinamatteo/zero"],"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":["official"]}}},{"url":"/paper/decomposing-the-neurons-activation-sparsity","slug":"decomposing-the-neurons-activation-sparsity","title":"Decomposing the Neurons: Activation Sparsity via Mixture of Experts for Continual Test Time Adaptation","date":"2024-05-26","arxiv_id":"2405.16486","repositories_listed":1,"syntology":{"n":15,"n_ran":12,"n_constructed":0,"n_ran_checked":10,"n_instrument":2,"n_unverified":3,"n_honours":1,"n_violates":1,"n_no_contract":8,"n_pointer_only":15,"phrase":"12 ran (of which 0 constructed an object rather than computing a result; 10 with no instrument failure: 1 honoured, 1 violated, 8 with no contract checked; 2 where Syntology's instrument failed) · 3 unverified","sample_list":"/paper/decomposing-the-neurons-activation-sparsity#ran","syntology_url":"https://syntology.ai/paper/2405.16486","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2405.16486"}},"official":{"repos":["royzry98/moase-pytorch"],"state":"official (archive's flag): 12 ran","n_ran":12,"n_constructed":0,"n_ran_no_instrument_failure":10,"n_unverified":3,"ran_from_kinds":["official"]}}},{"url":"/paper/medadapter-efficient-test-time-adaptation-of","slug":"medadapter-efficient-test-time-adaptation-of","title":"MedAdapter: Efficient Test-Time Adaptation of Large Language Models towards Medical Reasoning","date":"2024-05-05","arxiv_id":"2405.03000","repositories_listed":1,"syntology":{"n":16,"n_ran":6,"n_constructed":0,"n_ran_checked":5,"n_instrument":1,"n_unverified":10,"n_honours":0,"n_violates":0,"n_no_contract":5,"n_pointer_only":16,"phrase":"6 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; 1 where Syntology's instrument failed) · 10 unverified","sample_list":"/paper/medadapter-efficient-test-time-adaptation-of#ran","syntology_url":"https://syntology.ai/paper/2405.03000","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2405.03000"}},"official":{"repos":["wshi83/medadapter"],"state":"official (archive's flag): 6 ran","n_ran":6,"n_constructed":0,"n_ran_no_instrument_failure":5,"n_unverified":10,"ran_from_kinds":["official"]}}},{"url":"/paper/clipartt-light-weight-adaptation-of-clip-to","slug":"clipartt-light-weight-adaptation-of-clip-to","title":"CLIPArTT: Adaptation of CLIP to New Domains at Test Time","date":"2024-05-01","arxiv_id":"2405.00754","repositories_listed":1,"syntology":{"n":15,"n_ran":11,"n_constructed":0,"n_ran_checked":6,"n_instrument":5,"n_unverified":4,"n_honours":0,"n_violates":0,"n_no_contract":6,"n_pointer_only":15,"phrase":"11 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; 5 where Syntology's instrument failed) · 4 unverified","sample_list":"/paper/clipartt-light-weight-adaptation-of-clip-to#ran","syntology_url":"https://syntology.ai/paper/2405.00754","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2405.00754"}},"official":{"repos":["dosowiechi/clipartt"],"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":["official"]}}},{"url":"/paper/in-context-learning-state-vector-with-inner","slug":"in-context-learning-state-vector-with-inner","title":"In-Context Learning State Vector with Inner and Momentum Optimization","date":"2024-04-17","arxiv_id":"2404.11225","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/in-context-learning-state-vector-with-inner#ran","syntology_url":"https://syntology.ai/paper/2404.11225","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2404.11225"}},"official":{"repos":["hitsz-tmg/icl-state-vector"],"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/unified-entropy-optimization-for-open-set","slug":"unified-entropy-optimization-for-open-set","title":"Unified Entropy Optimization for Open-Set Test-Time Adaptation","date":"2024-04-09","arxiv_id":"2404.06065","repositories_listed":1,"syntology":{"n":15,"n_ran":15,"n_constructed":0,"n_ran_checked":13,"n_instrument":2,"n_unverified":0,"n_honours":0,"n_violates":0,"n_no_contract":13,"n_pointer_only":4,"phrase":"15 ran (of which 0 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) · 0 unverified","sample_list":"/paper/unified-entropy-optimization-for-open-set#ran","syntology_url":"https://syntology.ai/paper/2404.06065","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2404.06065"}},"official":{"repos":["gaozhengqing/unient"],"state":"official (archive's flag): 15 ran","n_ran":15,"n_constructed":0,"n_ran_no_instrument_failure":13,"n_unverified":0,"ran_from_kinds":["official"]}}},{"url":"/paper/test-time-adaptation-with-salip-a-cascade-of","slug":"test-time-adaptation-with-salip-a-cascade-of","title":"Test-Time Adaptation with SaLIP: A Cascade of SAM and CLIP for Zero shot Medical Image Segmentation","date":"2024-04-09","arxiv_id":"2404.06362","repositories_listed":1,"syntology":{"n":12,"n_ran":9,"n_constructed":0,"n_ran_checked":7,"n_instrument":2,"n_unverified":3,"n_honours":0,"n_violates":0,"n_no_contract":7,"n_pointer_only":5,"phrase":"9 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; 2 where Syntology's instrument failed) · 3 unverified","sample_list":"/paper/test-time-adaptation-with-salip-a-cascade-of#ran","syntology_url":"https://syntology.ai/paper/2404.06362","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2404.06362"}},"official":{"repos":["aleemsidra/SaLIP"],"state":"official (archive's flag): 9 ran","n_ran":9,"n_constructed":0,"n_ran_no_instrument_failure":7,"n_unverified":3,"ran_from_kinds":["official"]}}},{"url":"/paper/test-time-zero-shot-temporal-action","slug":"test-time-zero-shot-temporal-action","title":"Test-Time Zero-Shot Temporal Action Localization","date":"2024-04-08","arxiv_id":"2404.05426","repositories_listed":1,"syntology":{"n":4,"n_ran":4,"n_constructed":0,"n_ran_checked":4,"n_instrument":0,"n_unverified":0,"n_honours":1,"n_violates":0,"n_no_contract":3,"n_pointer_only":4,"phrase":"4 ran (of which 0 constructed an object rather than computing a result; 4 with no instrument failure: 1 honoured, 0 violated, 3 with no contract checked; 0 where Syntology's instrument failed) · 0 unverified","sample_list":"/paper/test-time-zero-shot-temporal-action#ran","syntology_url":"https://syntology.ai/paper/2404.05426","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2404.05426"}},"official":{"repos":["benedettaliberatori/t3al"],"state":"official (archive's flag): 4 ran","n_ran":4,"n_constructed":0,"n_ran_no_instrument_failure":4,"n_unverified":0,"ran_from_kinds":["official"]}}},{"url":"/paper/active-test-time-adaptation-theoretical","slug":"active-test-time-adaptation-theoretical","title":"Active Test-Time Adaptation: Theoretical Analyses and An Algorithm","date":"2024-04-07","arxiv_id":"2404.05094","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/active-test-time-adaptation-theoretical#ran","syntology_url":"https://syntology.ai/paper/2404.05094","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2404.05094"}},"official":{"repos":["divelab/atta"],"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/test-time-model-adaptation-with-only-forward","slug":"test-time-model-adaptation-with-only-forward","title":"Test-Time Model Adaptation with Only Forward Passes","date":"2024-04-02","arxiv_id":"2404.01650","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/test-time-model-adaptation-with-only-forward#ran","syntology_url":"https://syntology.ai/paper/2404.01650","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2404.01650"}},"official":{"repos":["mr-eggplant/foa"],"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/aetta-label-free-accuracy-estimation-for-test","slug":"aetta-label-free-accuracy-estimation-for-test","title":"AETTA: Label-Free Accuracy Estimation for Test-Time Adaptation","date":"2024-04-01","arxiv_id":"2404.01351","repositories_listed":1,"syntology":{"n":12,"n_ran":12,"n_constructed":0,"n_ran_checked":8,"n_instrument":4,"n_unverified":0,"n_honours":1,"n_violates":0,"n_no_contract":7,"n_pointer_only":2,"phrase":"12 ran (of which 0 constructed an object rather than computing a result; 8 with no instrument failure: 1 honoured, 0 violated, 7 with no contract checked; 4 where Syntology's instrument failed) · 0 unverified","sample_list":"/paper/aetta-label-free-accuracy-estimation-for-test#ran","syntology_url":"https://syntology.ai/paper/2404.01351","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2404.01351"}},"official":{"repos":["taeckyung/aetta"],"state":"official (archive's flag): 12 ran","n_ran":12,"n_constructed":0,"n_ran_no_instrument_failure":8,"n_unverified":0,"ran_from_kinds":["official"]}}},{"url":"/paper/backpropagation-free-network-for-3d-test-time","slug":"backpropagation-free-network-for-3d-test-time","title":"Backpropagation-free Network for 3D Test-time Adaptation","date":"2024-03-27","arxiv_id":"2403.18442","repositories_listed":1,"syntology":{"n":3,"n_ran":2,"n_constructed":0,"n_ran_checked":0,"n_instrument":2,"n_unverified":1,"n_honours":0,"n_violates":0,"n_no_contract":0,"n_pointer_only":3,"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) · 1 unverified","sample_list":"/paper/backpropagation-free-network-for-3d-test-time#ran","syntology_url":"https://syntology.ai/paper/2403.18442","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2403.18442"}},"official":{"repos":["abie-e/bftt3d"],"state":"official (archive's flag): 2 ran","n_ran":2,"n_constructed":0,"n_ran_no_instrument_failure":0,"n_unverified":1,"ran_from_kinds":["official"]}}},{"url":"/paper/c-tpt-calibrated-test-time-prompt-tuning-for","slug":"c-tpt-calibrated-test-time-prompt-tuning-for","title":"C-TPT: Calibrated Test-Time Prompt Tuning for Vision-Language Models via Text Feature Dispersion","date":"2024-03-21","arxiv_id":"2403.14119","repositories_listed":1,"syntology":{"n":10,"n_ran":8,"n_constructed":0,"n_ran_checked":2,"n_instrument":6,"n_unverified":2,"n_honours":0,"n_violates":0,"n_no_contract":2,"n_pointer_only":5,"phrase":"8 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; 6 where Syntology's instrument failed) · 2 unverified","sample_list":"/paper/c-tpt-calibrated-test-time-prompt-tuning-for#ran","syntology_url":"https://syntology.ai/paper/2403.14119","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2403.14119"}},"official":{"repos":["hee-suk-yoon/c-tpt"],"state":"official (archive's flag): 8 ran","n_ran":8,"n_constructed":0,"n_ran_no_instrument_failure":2,"n_unverified":2,"ran_from_kinds":["official"]}}},{"url":"/paper/entropy-is-not-enough-for-test-time","slug":"entropy-is-not-enough-for-test-time","title":"Entropy is not Enough for Test-Time Adaptation: From the Perspective of Disentangled Factors","date":"2024-03-12","arxiv_id":"2403.07366","repositories_listed":1,"syntology":{"n":4,"n_ran":4,"n_constructed":1,"n_ran_checked":1,"n_instrument":3,"n_unverified":0,"n_honours":0,"n_violates":0,"n_no_contract":1,"n_pointer_only":1,"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) · 0 unverified","sample_list":"/paper/entropy-is-not-enough-for-test-time#ran","syntology_url":"https://syntology.ai/paper/2403.07366","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2403.07366"}},"official":{"repos":["Jhyun17/DeYO"],"state":"official (archive's flag): 3 ran","n_ran":3,"n_constructed":1,"n_ran_no_instrument_failure":1,"n_unverified":0,"ran_from_kinds":["official","unlocated"]}}},{"url":"/paper/harnessing-meta-learning-for-improving-full","slug":"harnessing-meta-learning-for-improving-full","title":"Harnessing Meta-Learning for Improving Full-Frame Video Stabilization","date":"2024-03-06","arxiv_id":"2403.03662","repositories_listed":1,"syntology":{"n":10,"n_ran":4,"n_constructed":0,"n_ran_checked":4,"n_instrument":0,"n_unverified":6,"n_honours":0,"n_violates":0,"n_no_contract":4,"n_pointer_only":10,"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) · 6 unverified","sample_list":"/paper/harnessing-meta-learning-for-improving-full#ran","syntology_url":"https://syntology.ai/paper/2403.03662","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2403.03662"}},"official":{"repos":["mkashifali/metavideostab"],"state":"official (archive's flag): 4 ran","n_ran":4,"n_constructed":0,"n_ran_no_instrument_failure":4,"n_unverified":6,"ran_from_kinds":["official"]}}},{"url":"/paper/test-time-adaptation-for-depth-completion","slug":"test-time-adaptation-for-depth-completion","title":"Test-Time Adaptation for Depth Completion","date":"2024-02-05","arxiv_id":"2402.03312","repositories_listed":1,"syntology":{"n":13,"n_ran":10,"n_constructed":0,"n_ran_checked":10,"n_instrument":0,"n_unverified":3,"n_honours":0,"n_violates":0,"n_no_contract":10,"n_pointer_only":13,"phrase":"10 ran (of which 0 constructed an object rather than computing a result; 10 with no instrument failure: 0 honoured, 0 violated, 10 with no contract checked; 0 where Syntology's instrument failed) · 3 unverified","sample_list":"/paper/test-time-adaptation-for-depth-completion#ran","syntology_url":"https://syntology.ai/paper/2402.03312","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2402.03312"}},"official":{"repos":["seobbro/tta-depth-completion"],"state":"official (archive's flag): 10 ran","n_ran":10,"n_constructed":0,"n_ran_no_instrument_failure":10,"n_unverified":3,"ran_from_kinds":["official"]}}},{"url":"/paper/un-mixing-test-time-normalization-statistics","slug":"un-mixing-test-time-normalization-statistics","title":"Un-Mixing Test-Time Normalization Statistics: Combatting Label Temporal Correlation","date":"2024-01-16","arxiv_id":"2401.08328","repositories_listed":1,"syntology":{"n":20,"n_ran":17,"n_constructed":1,"n_ran_checked":9,"n_instrument":8,"n_unverified":3,"n_honours":0,"n_violates":0,"n_no_contract":9,"n_pointer_only":20,"phrase":"17 ran (of which 1 constructed an object rather than computing a result; 9 with no instrument failure: 0 honoured, 0 violated, 9 with no contract checked; 8 where Syntology's instrument failed) · 3 unverified","sample_list":"/paper/un-mixing-test-time-normalization-statistics#ran","syntology_url":"https://syntology.ai/paper/2401.08328","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2401.08328"}},"official":{"repos":["devavrattomar/unmixtns"],"state":"official (archive's flag): 17 ran","n_ran":17,"n_constructed":1,"n_ran_no_instrument_failure":9,"n_unverified":3,"ran_from_kinds":["official"]}}},{"url":"/paper/online-test-time-adaptation-of-spatial","slug":"online-test-time-adaptation-of-spatial","title":"Online Test-Time Adaptation of Spatial-Temporal Traffic Flow Forecasting","date":"2024-01-08","arxiv_id":"2401.04148","repositories_listed":1,"syntology":{"n":9,"n_ran":8,"n_constructed":0,"n_ran_checked":8,"n_instrument":0,"n_unverified":1,"n_honours":0,"n_violates":0,"n_no_contract":8,"n_pointer_only":9,"phrase":"8 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; 0 where Syntology's instrument failed) · 1 unverified","sample_list":"/paper/online-test-time-adaptation-of-spatial#ran","syntology_url":"https://syntology.ai/paper/2401.04148","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2401.04148"}},"official":{"repos":["pengxin-guo/adcsd"],"state":"official (archive's flag): 8 ran","n_ran":8,"n_constructed":0,"n_ran_no_instrument_failure":8,"n_unverified":1,"ran_from_kinds":["official"]}}},{"url":"/paper/unraveling-batch-normalization-for-realistic","slug":"unraveling-batch-normalization-for-realistic","title":"Unraveling Batch Normalization for Realistic Test-Time Adaptation","date":"2023-12-15","arxiv_id":"2312.09486","repositories_listed":1,"syntology":{"n":10,"n_ran":8,"n_constructed":0,"n_ran_checked":8,"n_instrument":0,"n_unverified":2,"n_honours":0,"n_violates":0,"n_no_contract":8,"n_pointer_only":0,"phrase":"8 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; 0 where Syntology's instrument failed) · 2 unverified","sample_list":"/paper/unraveling-batch-normalization-for-realistic#ran","syntology_url":"https://syntology.ai/paper/2312.09486","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2312.09486"}},"official":{"repos":["kiwi12138/realistictta"],"state":"official (archive's flag): 8 ran","n_ran":8,"n_constructed":0,"n_ran_no_instrument_failure":8,"n_unverified":2,"ran_from_kinds":["official"]}}},{"url":"/paper/relax-image-specific-prompt-requirement-in","slug":"relax-image-specific-prompt-requirement-in","title":"Relax Image-Specific Prompt Requirement in SAM: A Single Generic Prompt for Segmenting Camouflaged Objects","date":"2023-12-12","arxiv_id":"2312.07374","repositories_listed":1,"syntology":{"n":13,"n_ran":9,"n_constructed":0,"n_ran_checked":6,"n_instrument":3,"n_unverified":4,"n_honours":0,"n_violates":0,"n_no_contract":6,"n_pointer_only":4,"phrase":"9 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; 3 where Syntology's instrument failed) · 4 unverified","sample_list":"/paper/relax-image-specific-prompt-requirement-in#ran","syntology_url":"https://syntology.ai/paper/2312.07374","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2312.07374"}},"official":{"repos":["jyLin8100/GenSAM"],"state":"official (archive's flag): 9 ran","n_ran":9,"n_constructed":0,"n_ran_no_instrument_failure":6,"n_unverified":4,"ran_from_kinds":["official"]}}},{"url":"/paper/what-how-and-when-should-object-detectors","slug":"what-how-and-when-should-object-detectors","title":"What, How, and When Should Object Detectors Update in Continually Changing Test Domains?","date":"2023-12-12","arxiv_id":"2312.08875","repositories_listed":1,"syntology":{"n":12,"n_ran":8,"n_constructed":0,"n_ran_checked":6,"n_instrument":2,"n_unverified":4,"n_honours":0,"n_violates":0,"n_no_contract":6,"n_pointer_only":7,"phrase":"8 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; 2 where Syntology's instrument failed) · 4 unverified","sample_list":"/paper/what-how-and-when-should-object-detectors#ran","syntology_url":"https://syntology.ai/paper/2312.08875","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2312.08875"}},"official":null}},{"url":"/paper/persistent-test-time-adaptation-in-episodic","slug":"persistent-test-time-adaptation-in-episodic","title":"Persistent Test-time Adaptation in Recurring Testing Scenarios","date":"2023-11-30","arxiv_id":"2311.18193","repositories_listed":1,"syntology":{"n":17,"n_ran":12,"n_constructed":6,"n_ran_checked":6,"n_instrument":6,"n_unverified":5,"n_honours":0,"n_violates":0,"n_no_contract":6,"n_pointer_only":17,"phrase":"12 ran (of which 6 constructed an object rather than computing a result; 6 with no instrument failure: 0 honoured, 0 violated, 6 with no contract checked; 6 where Syntology's instrument failed) · 5 unverified","sample_list":"/paper/persistent-test-time-adaptation-in-episodic#ran","syntology_url":"https://syntology.ai/paper/2311.18193","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2311.18193"}},"official":{"repos":["hthieu166/petta"],"state":"official (archive's flag): 12 ran","n_ran":12,"n_constructed":6,"n_ran_no_instrument_failure":6,"n_unverified":5,"ran_from_kinds":["official"]}}},{"url":"/paper/test-time-adaptation-of-discriminative-models","slug":"test-time-adaptation-of-discriminative-models","title":"Diffusion-TTA: Test-time Adaptation of Discriminative Models via Generative Feedback","date":"2023-11-27","arxiv_id":"2311.16102","repositories_listed":1,"syntology":{"n":4,"n_ran":3,"n_constructed":0,"n_ran_checked":3,"n_instrument":0,"n_unverified":1,"n_honours":3,"n_violates":0,"n_no_contract":0,"n_pointer_only":4,"phrase":"3 ran (of which 0 constructed an object rather than computing a result; 3 with no instrument failure: 3 honoured, 0 violated, 0 with no contract checked; 0 where Syntology's instrument failed) · 1 unverified","sample_list":"/paper/test-time-adaptation-of-discriminative-models#ran","syntology_url":"https://syntology.ai/paper/2311.16102","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2311.16102"}},"official":null}},{"url":"/paper/tea-test-time-energy-adaptation","slug":"tea-test-time-energy-adaptation","title":"TEA: Test-time Energy Adaptation","date":"2023-11-24","arxiv_id":"2311.14402","repositories_listed":1,"syntology":{"n":20,"n_ran":18,"n_constructed":0,"n_ran_checked":16,"n_instrument":2,"n_unverified":2,"n_honours":0,"n_violates":0,"n_no_contract":16,"n_pointer_only":20,"phrase":"18 ran (of which 0 constructed an object rather than computing a result; 16 with no instrument failure: 0 honoured, 0 violated, 16 with no contract checked; 2 where Syntology's instrument failed) · 2 unverified","sample_list":"/paper/tea-test-time-energy-adaptation#ran","syntology_url":"https://syntology.ai/paper/2311.14402","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2311.14402"}},"official":{"repos":["yuanyige/tea"],"state":"official (archive's flag): 18 ran","n_ran":18,"n_constructed":0,"n_ran_no_instrument_failure":16,"n_unverified":2,"ran_from_kinds":["official"]}}},{"url":"/paper/test-time-adaptive-vision-and-language","slug":"test-time-adaptive-vision-and-language","title":"Fast-Slow Test-Time Adaptation for Online Vision-and-Language Navigation","date":"2023-11-22","arxiv_id":"2311.13209","repositories_listed":1,"syntology":{"n":6,"n_ran":6,"n_constructed":1,"n_ran_checked":1,"n_instrument":5,"n_unverified":0,"n_honours":0,"n_violates":0,"n_no_contract":1,"n_pointer_only":6,"phrase":"6 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; 5 where Syntology's instrument failed) · 0 unverified","sample_list":"/paper/test-time-adaptive-vision-and-language#ran","syntology_url":"https://syntology.ai/paper/2311.13209","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2311.13209"}},"official":{"repos":["feliciaxyao/icml2024-fstta"],"state":"official (archive's flag): 6 ran","n_ran":6,"n_constructed":1,"n_ran_no_instrument_failure":1,"n_unverified":0,"ran_from_kinds":["official"]}}},{"url":"/paper/in-search-of-lost-online-test-time-adaptation","slug":"in-search-of-lost-online-test-time-adaptation","title":"In Search of Lost Online Test-time Adaptation: A Survey","date":"2023-10-31","arxiv_id":"2310.20199","repositories_listed":1,"syntology":{"n":17,"n_ran":14,"n_constructed":0,"n_ran_checked":9,"n_instrument":5,"n_unverified":3,"n_honours":0,"n_violates":0,"n_no_contract":9,"n_pointer_only":7,"phrase":"14 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; 5 where Syntology's instrument failed) · 3 unverified","sample_list":"/paper/in-search-of-lost-online-test-time-adaptation#ran","syntology_url":"https://syntology.ai/paper/2310.20199","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2310.20199"}},"official":{"repos":["jo-wang/otta_vit_survey"],"state":"official (archive's flag): 14 ran","n_ran":14,"n_constructed":0,"n_ran_no_instrument_failure":9,"n_unverified":3,"ran_from_kinds":["official"]}}},{"url":"/paper/efficient-test-time-adaptation-for-super-1","slug":"efficient-test-time-adaptation-for-super-1","title":"Efficient Test-Time Adaptation for Super-Resolution with Second-Order Degradation and Reconstruction","date":"2023-10-29","arxiv_id":"2310.19011","repositories_listed":1,"syntology":{"n":18,"n_ran":17,"n_constructed":0,"n_ran_checked":12,"n_instrument":5,"n_unverified":1,"n_honours":0,"n_violates":0,"n_no_contract":12,"n_pointer_only":6,"phrase":"17 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; 5 where Syntology's instrument failed) · 1 unverified","sample_list":"/paper/efficient-test-time-adaptation-for-super-1#ran","syntology_url":"https://syntology.ai/paper/2310.19011","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2310.19011"}},"official":{"repos":["dengzeshuai/srtta"],"state":"official (archive's flag): 17 ran","n_ran":17,"n_constructed":0,"n_ran_no_instrument_failure":12,"n_unverified":1,"ran_from_kinds":["official"]}}},{"url":"/paper/optimization-free-test-time-adaptation-for","slug":"optimization-free-test-time-adaptation-for","title":"Optimization-Free Test-Time Adaptation for Cross-Person Activity Recognition","date":"2023-10-28","arxiv_id":"2310.18562","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/optimization-free-test-time-adaptation-for#ran","syntology_url":"https://syntology.ai/paper/2310.18562","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2310.18562"}},"official":{"repos":["Claydon-Wang/OFTTA"],"state":"official (archive's flag): 2 ran","n_ran":2,"n_constructed":0,"n_ran_no_instrument_failure":0,"n_unverified":0,"ran_from_kinds":["official","unlocated"]}}},{"url":"/paper/adaptive-test-time-personalization-for-1","slug":"adaptive-test-time-personalization-for-1","title":"Adaptive Test-Time Personalization for Federated Learning","date":"2023-10-28","arxiv_id":"2310.18816","repositories_listed":1,"syntology":{"n":7,"n_ran":7,"n_constructed":2,"n_ran_checked":4,"n_instrument":3,"n_unverified":0,"n_honours":0,"n_violates":0,"n_no_contract":4,"n_pointer_only":7,"phrase":"7 ran (of which 2 constructed an object rather than computing a result; 4 with no instrument failure: 0 honoured, 0 violated, 4 with no contract checked; 3 where Syntology's instrument failed) · 0 unverified","sample_list":"/paper/adaptive-test-time-personalization-for-1#ran","syntology_url":"https://syntology.ai/paper/2310.18816","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2310.18816"}},"official":{"repos":["baowenxuan/atp"],"state":"official (archive's flag): 7 ran","n_ran":7,"n_constructed":2,"n_ran_no_instrument_failure":4,"n_unverified":0,"ran_from_kinds":["official"]}}},{"url":"/paper/clust3-information-invariant-test-time-1","slug":"clust3-information-invariant-test-time-1","title":"ClusT3: Information Invariant Test-Time Training","date":"2023-10-18","arxiv_id":"2310.12345","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/clust3-information-invariant-test-time-1#ran","syntology_url":"https://syntology.ai/paper/2310.12345","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2310.12345"}},"official":{"repos":["dosowiechi/clust3"],"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/sotta-robust-test-time-adaptation-on-noisy-1","slug":"sotta-robust-test-time-adaptation-on-noisy-1","title":"SoTTA: Robust Test-Time Adaptation on Noisy Data Streams","date":"2023-10-16","arxiv_id":"2310.10074","repositories_listed":1,"syntology":{"n":13,"n_ran":8,"n_constructed":5,"n_ran_checked":5,"n_instrument":3,"n_unverified":5,"n_honours":0,"n_violates":0,"n_no_contract":5,"n_pointer_only":0,"phrase":"8 ran (of which 5 constructed an object rather than computing a result; 5 with no instrument failure: 0 honoured, 0 violated, 5 with no contract checked; 3 where Syntology's instrument failed) · 5 unverified","sample_list":"/paper/sotta-robust-test-time-adaptation-on-noisy-1#ran","syntology_url":"https://syntology.ai/paper/2310.10074","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2310.10074"}},"official":{"repos":["taeckyung/SoTTA"],"state":"official (archive's flag): 8 ran","n_ran":8,"n_constructed":5,"n_ran_no_instrument_failure":5,"n_unverified":5,"ran_from_kinds":["official"]}}},{"url":"/paper/advancing-test-time-adaptation-for-acoustic","slug":"advancing-test-time-adaptation-for-acoustic","title":"Advancing Test-Time Adaptation in Wild Acoustic Test Settings","date":"2023-10-14","arxiv_id":"2310.09505","repositories_listed":1,"syntology":{"n":8,"n_ran":6,"n_constructed":0,"n_ran_checked":6,"n_instrument":0,"n_unverified":2,"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) · 2 unverified","sample_list":"/paper/advancing-test-time-adaptation-for-acoustic#ran","syntology_url":"https://syntology.ai/paper/2310.09505","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2310.09505"}},"official":{"repos":["Waffle-Liu/CEA"],"state":"official (archive's flag): 6 ran","n_ran":6,"n_constructed":0,"n_ran_no_instrument_failure":6,"n_unverified":2,"ran_from_kinds":["official"]}}},{"url":"/paper/darth-holistic-test-time-adaptation-for-1","slug":"darth-holistic-test-time-adaptation-for-1","title":"DARTH: Holistic Test-time Adaptation for Multiple Object Tracking","date":"2023-10-03","arxiv_id":"2310.01926","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/darth-holistic-test-time-adaptation-for-1#ran","syntology_url":"https://syntology.ai/paper/2310.01926","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2310.01926"}},"official":{"repos":["mattiasegu/darth"],"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/towards-real-world-test-time-adaptation-tri","slug":"towards-real-world-test-time-adaptation-tri","title":"Towards Real-World Test-Time Adaptation: Tri-Net Self-Training with Balanced Normalization","date":"2023-09-26","arxiv_id":"2309.14949","repositories_listed":1,"syntology":{"n":13,"n_ran":10,"n_constructed":0,"n_ran_checked":7,"n_instrument":3,"n_unverified":3,"n_honours":0,"n_violates":0,"n_no_contract":7,"n_pointer_only":13,"phrase":"10 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; 3 where Syntology's instrument failed) · 3 unverified","sample_list":"/paper/towards-real-world-test-time-adaptation-tri#ran","syntology_url":"https://syntology.ai/paper/2309.14949","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2309.14949"}},"official":{"repos":["gorilla-lab-scut/tribe"],"state":"official (archive's flag): 10 ran","n_ran":10,"n_constructed":0,"n_ran_no_instrument_failure":7,"n_unverified":3,"ran_from_kinds":["official"]}}},{"url":"/paper/ar-tta-a-simple-method-for-real-world","slug":"ar-tta-a-simple-method-for-real-world","title":"AR-TTA: A Simple Method for Real-World Continual Test-Time Adaptation","date":"2023-09-18","arxiv_id":"2309.10109","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/ar-tta-a-simple-method-for-real-world#ran","syntology_url":"https://syntology.ai/paper/2309.10109","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2309.10109"}},"official":{"repos":["dmn-sjk/ar-tta"],"state":"official (archive's flag): 2 ran","n_ran":2,"n_constructed":0,"n_ran_no_instrument_failure":0,"n_unverified":0,"ran_from_kinds":["official"]}}},{"url":"/paper/anovl-adapting-vision-language-models-for","slug":"anovl-adapting-vision-language-models-for","title":"Bootstrap Fine-Grained Vision-Language Alignment for Unified Zero-Shot Anomaly Localization","date":"2023-08-30","arxiv_id":"2308.15939","repositories_listed":1,"syntology":{"n":11,"n_ran":6,"n_constructed":0,"n_ran_checked":5,"n_instrument":1,"n_unverified":5,"n_honours":1,"n_violates":1,"n_no_contract":3,"n_pointer_only":5,"phrase":"6 ran (of which 0 constructed an object rather than computing a result; 5 with no instrument failure: 1 honoured, 1 violated, 3 with no contract checked; 1 where Syntology's instrument failed) · 5 unverified","sample_list":"/paper/anovl-adapting-vision-language-models-for#ran","syntology_url":"https://syntology.ai/paper/2308.15939","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2308.15939"}},"official":{"repos":["hq-deng/AnoVL"],"state":"official (archive's flag): 6 ran","n_ran":6,"n_constructed":0,"n_ran_no_instrument_failure":5,"n_unverified":5,"ran_from_kinds":["official"]}}},{"url":"/paper/domainadaptor-a-novel-approach-to-test-time","slug":"domainadaptor-a-novel-approach-to-test-time","title":"DomainAdaptor: A Novel Approach to Test-time Adaptation","date":"2023-08-20","arxiv_id":"2308.10297","repositories_listed":1,"syntology":{"n":10,"n_ran":8,"n_constructed":0,"n_ran_checked":8,"n_instrument":0,"n_unverified":2,"n_honours":0,"n_violates":0,"n_no_contract":8,"n_pointer_only":10,"phrase":"8 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; 0 where Syntology's instrument failed) · 2 unverified","sample_list":"/paper/domainadaptor-a-novel-approach-to-test-time#ran","syntology_url":"https://syntology.ai/paper/2308.10297","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2308.10297"}},"official":{"repos":["koncle/domainadaptor"],"state":"official (archive's flag): 8 ran","n_ran":8,"n_constructed":0,"n_ran_no_instrument_failure":8,"n_unverified":2,"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/towards-open-set-test-time-adaptation","slug":"towards-open-set-test-time-adaptation","title":"Towards Open-Set Test-Time Adaptation Utilizing the Wisdom of Crowds in Entropy Minimization","date":"2023-08-14","arxiv_id":"2308.06879","repositories_listed":1,"syntology":{"n":3,"n_ran":3,"n_constructed":1,"n_ran_checked":2,"n_instrument":1,"n_unverified":0,"n_honours":1,"n_violates":0,"n_no_contract":1,"n_pointer_only":0,"phrase":"3 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; 1 where Syntology's instrument failed) · 0 unverified","sample_list":"/paper/towards-open-set-test-time-adaptation#ran","syntology_url":"https://syntology.ai/paper/2308.06879","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2308.06879"}},"official":null}},{"url":"/paper/cyclic-test-time-adaptation-on-monocular","slug":"cyclic-test-time-adaptation-on-monocular","title":"Cyclic Test-Time Adaptation on Monocular Video for 3D Human Mesh Reconstruction","date":"2023-08-12","arxiv_id":"2308.06554","repositories_listed":1,"syntology":{"n":9,"n_ran":8,"n_constructed":0,"n_ran_checked":7,"n_instrument":1,"n_unverified":1,"n_honours":0,"n_violates":0,"n_no_contract":7,"n_pointer_only":9,"phrase":"8 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; 1 where Syntology's instrument failed) · 1 unverified","sample_list":"/paper/cyclic-test-time-adaptation-on-monocular#ran","syntology_url":"https://syntology.ai/paper/2308.06554","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2308.06554"}},"official":{"repos":["hygenie1228/cycleadapt_release"],"state":"official (archive's flag): 8 ran","n_ran":8,"n_constructed":0,"n_ran_no_instrument_failure":7,"n_unverified":1,"ran_from_kinds":["official"]}}},{"url":"/paper/benchmarking-test-time-adaptation-against","slug":"benchmarking-test-time-adaptation-against","title":"Benchmarking Test-Time Adaptation against Distribution Shifts in Image Classification","date":"2023-07-06","arxiv_id":"2307.03133","repositories_listed":1,"syntology":{"n":8,"n_ran":5,"n_constructed":0,"n_ran_checked":2,"n_instrument":3,"n_unverified":3,"n_honours":1,"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; 2 with no instrument failure: 1 honoured, 0 violated, 1 with no contract checked; 3 where Syntology's instrument failed) · 3 unverified","sample_list":"/paper/benchmarking-test-time-adaptation-against#ran","syntology_url":"https://syntology.ai/paper/2307.03133","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2307.03133"}},"official":{"repos":["yuyongcan/benchmark-tta"],"state":"official (archive's flag): 5 ran","n_ran":5,"n_constructed":0,"n_ran_no_instrument_failure":2,"n_unverified":3,"ran_from_kinds":["official"]}}},{"url":"/paper/rdumb-a-simple-approach-that-questions-our-1","slug":"rdumb-a-simple-approach-that-questions-our-1","title":"RDumb: A simple approach that questions our progress in continual test-time adaptation","date":"2023-06-08","arxiv_id":"2306.05401","repositories_listed":1,"syntology":{"n":3,"n_ran":3,"n_constructed":0,"n_ran_checked":1,"n_instrument":2,"n_unverified":0,"n_honours":1,"n_violates":0,"n_no_contract":0,"n_pointer_only":0,"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) · 0 unverified","sample_list":"/paper/rdumb-a-simple-approach-that-questions-our-1#ran","syntology_url":"https://syntology.ai/paper/2306.05401","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2306.05401"}},"official":{"repos":["oripress/ccc"],"state":"official (archive's flag): 3 ran","n_ran":3,"n_constructed":0,"n_ran_no_instrument_failure":1,"n_unverified":0,"ran_from_kinds":["official"]}}},{"url":"/paper/vida-homeostatic-visual-domain-adapter-for","slug":"vida-homeostatic-visual-domain-adapter-for","title":"ViDA: Homeostatic Visual Domain Adapter for Continual Test Time Adaptation","date":"2023-06-07","arxiv_id":"2306.04344","repositories_listed":2,"syntology":{"n":9,"n_ran":9,"n_constructed":0,"n_ran_checked":5,"n_instrument":4,"n_unverified":0,"n_honours":0,"n_violates":0,"n_no_contract":5,"n_pointer_only":2,"phrase":"9 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; 4 where Syntology's instrument failed) · 0 unverified","sample_list":"/paper/vida-homeostatic-visual-domain-adapter-for#ran","syntology_url":"https://syntology.ai/paper/2306.04344","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2306.04344"}},"official":{"repos":["yangsenqiao/vida"],"state":"official (archive's flag): 9 ran","n_ran":9,"n_constructed":0,"n_ran_no_instrument_failure":5,"n_unverified":0,"ran_from_kinds":["official"]}}},{"url":"/paper/sgem-test-time-adaptation-for-automatic","slug":"sgem-test-time-adaptation-for-automatic","title":"SGEM: Test-Time Adaptation for Automatic Speech Recognition via Sequential-Level Generalized Entropy Minimization","date":"2023-06-03","arxiv_id":"2306.01981","repositories_listed":1,"syntology":{"n":8,"n_ran":6,"n_constructed":0,"n_ran_checked":6,"n_instrument":0,"n_unverified":2,"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) · 2 unverified","sample_list":"/paper/sgem-test-time-adaptation-for-automatic#ran","syntology_url":"https://syntology.ai/paper/2306.01981","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2306.01981"}},"official":{"repos":["drumpt/sgem"],"state":"official (archive's flag): 6 ran","n_ran":6,"n_constructed":0,"n_ran_no_instrument_failure":6,"n_unverified":2,"ran_from_kinds":["official"]}}},{"url":"/paper/universal-test-time-adaptation-through-weight","slug":"universal-test-time-adaptation-through-weight","title":"Universal Test-time Adaptation through Weight Ensembling, Diversity Weighting, and Prior Correction","date":"2023-06-01","arxiv_id":"2306.00650","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/universal-test-time-adaptation-through-weight#ran","syntology_url":"https://syntology.ai/paper/2306.00650","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2306.00650"}},"official":{"repos":["mariodoebler/test-time-adaptation"],"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/test-time-adaptation-with-clip-reward-for","slug":"test-time-adaptation-with-clip-reward-for","title":"Test-Time Adaptation with CLIP Reward for Zero-Shot Generalization in Vision-Language Models","date":"2023-05-29","arxiv_id":"2305.18010","repositories_listed":1,"syntology":{"n":10,"n_ran":5,"n_constructed":0,"n_ran_checked":3,"n_instrument":2,"n_unverified":5,"n_honours":0,"n_violates":0,"n_no_contract":3,"n_pointer_only":2,"phrase":"5 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; 2 where Syntology's instrument failed) · 5 unverified","sample_list":"/paper/test-time-adaptation-with-clip-reward-for#ran","syntology_url":"https://syntology.ai/paper/2305.18010","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2305.18010"}},"official":{"repos":["mzhaoshuai/rlcf"],"state":"official (archive's flag): 5 ran","n_ran":5,"n_constructed":0,"n_ran_no_instrument_failure":3,"n_unverified":5,"ran_from_kinds":["official"]}}},{"url":"/paper/adanpc-exploring-non-parametric-classifier","slug":"adanpc-exploring-non-parametric-classifier","title":"AdaNPC: Exploring Non-Parametric Classifier for Test-Time Adaptation","date":"2023-04-25","arxiv_id":"2304.12566","repositories_listed":2,"syntology":{"n":3,"n_ran":2,"n_constructed":0,"n_ran_checked":0,"n_instrument":2,"n_unverified":1,"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) · 1 unverified","sample_list":"/paper/adanpc-exploring-non-parametric-classifier#ran","syntology_url":"https://syntology.ai/paper/2304.12566","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2304.12566"}},"official":{"repos":["yfzhang114/adanpc"],"state":"official: harvested, nothing ran","n_ran":0,"n_constructed":0,"n_ran_no_instrument_failure":0,"n_unverified":1,"ran_from_kinds":["unlocated"]}}},{"url":"/paper/robust-test-time-adaptation-in-dynamic","slug":"robust-test-time-adaptation-in-dynamic","title":"Robust Test-Time Adaptation in Dynamic Scenarios","date":"2023-03-24","arxiv_id":"2303.13899","repositories_listed":1,"syntology":{"n":5,"n_ran":2,"n_constructed":0,"n_ran_checked":1,"n_instrument":1,"n_unverified":3,"n_honours":0,"n_violates":0,"n_no_contract":1,"n_pointer_only":0,"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) · 3 unverified","sample_list":"/paper/robust-test-time-adaptation-in-dynamic#ran","syntology_url":"https://syntology.ai/paper/2303.13899","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2303.13899"}},"official":{"repos":["bit-da/rotta"],"state":"official (archive's flag): 2 ran","n_ran":2,"n_constructed":0,"n_ran_no_instrument_failure":1,"n_unverified":3,"ran_from_kinds":["official"]}}},{"url":"/paper/feature-alignment-and-uniformity-for-test","slug":"feature-alignment-and-uniformity-for-test","title":"Feature Alignment and Uniformity for Test Time Adaptation","date":"2023-03-20","arxiv_id":"2303.10902","repositories_listed":1,"syntology":{"n":3,"n_ran":2,"n_constructed":1,"n_ran_checked":1,"n_instrument":1,"n_unverified":1,"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) · 1 unverified","sample_list":"/paper/feature-alignment-and-uniformity-for-test#ran","syntology_url":"https://syntology.ai/paper/2303.10902","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2303.10902"}},"official":{"repos":["sakurajimamaiii/tsd"],"state":"official (archive's flag): 2 ran","n_ran":2,"n_constructed":1,"n_ran_no_instrument_failure":1,"n_unverified":1,"ran_from_kinds":["official"]}}},{"url":"/paper/tesla-test-time-self-learning-with-automatic","slug":"tesla-test-time-self-learning-with-automatic","title":"TeSLA: Test-Time Self-Learning With Automatic Adversarial Augmentation","date":"2023-03-17","arxiv_id":"2303.09870","repositories_listed":1,"syntology":{"n":6,"n_ran":6,"n_constructed":0,"n_ran_checked":5,"n_instrument":1,"n_unverified":0,"n_honours":2,"n_violates":0,"n_no_contract":3,"n_pointer_only":2,"phrase":"6 ran (of which 0 constructed an object rather than computing a result; 5 with no instrument failure: 2 honoured, 0 violated, 3 with no contract checked; 1 where Syntology's instrument failed) · 0 unverified","sample_list":"/paper/tesla-test-time-self-learning-with-automatic#ran","syntology_url":"https://syntology.ai/paper/2303.09870","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2303.09870"}},"official":{"repos":["devavrattomar/tesla"],"state":"official (archive's flag): 6 ran","n_ran":6,"n_constructed":0,"n_ran_no_instrument_failure":5,"n_unverified":0,"ran_from_kinds":["official"]}}},{"url":"/paper/ecotta-memory-efficient-continual-test-time","slug":"ecotta-memory-efficient-continual-test-time","title":"EcoTTA: Memory-Efficient Continual Test-time Adaptation via Self-distilled Regularization","date":"2023-03-03","arxiv_id":"2303.01904","repositories_listed":1,"syntology":{"n":3,"n_ran":2,"n_constructed":0,"n_ran_checked":2,"n_instrument":0,"n_unverified":1,"n_honours":0,"n_violates":0,"n_no_contract":2,"n_pointer_only":3,"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) · 1 unverified","sample_list":"/paper/ecotta-memory-efficient-continual-test-time#ran","syntology_url":"https://syntology.ai/paper/2303.01904","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2303.01904"}},"official":null}},{"url":"/paper/towards-stable-test-time-adaptation-in","slug":"towards-stable-test-time-adaptation-in","title":"Towards Stable Test-Time Adaptation in Dynamic Wild World","date":"2023-02-24","arxiv_id":"2302.12400","repositories_listed":1,"syntology":{"n":5,"n_ran":4,"n_constructed":1,"n_ran_checked":1,"n_instrument":3,"n_unverified":1,"n_honours":0,"n_violates":0,"n_no_contract":1,"n_pointer_only":0,"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) · 1 unverified","sample_list":"/paper/towards-stable-test-time-adaptation-in#ran","syntology_url":"https://syntology.ai/paper/2302.12400","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2302.12400"}},"official":{"repos":["mr-eggplant/sar"],"state":"official (archive's flag): 4 ran","n_ran":4,"n_constructed":1,"n_ran_no_instrument_failure":1,"n_unverified":1,"ran_from_kinds":["official"]}}},{"url":"/paper/a-probabilistic-framework-for-lifelong-test","slug":"a-probabilistic-framework-for-lifelong-test","title":"A Probabilistic Framework for Lifelong Test-Time Adaptation","date":"2022-12-19","arxiv_id":"2212.09713","repositories_listed":1,"syntology":{"n":9,"n_ran":5,"n_constructed":0,"n_ran_checked":4,"n_instrument":1,"n_unverified":4,"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) · 4 unverified","sample_list":"/paper/a-probabilistic-framework-for-lifelong-test#ran","syntology_url":"https://syntology.ai/paper/2212.09713","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2212.09713"}},"official":{"repos":["dhanajitb/petal"],"state":"official (archive's flag): 5 ran","n_ran":5,"n_constructed":0,"n_ran_no_instrument_failure":4,"n_unverified":4,"ran_from_kinds":["official"]}}},{"url":"/paper/sc-wls-towards-interpretable-feed-forward","slug":"sc-wls-towards-interpretable-feed-forward","title":"SC-wLS: Towards Interpretable Feed-forward Camera Re-localization","date":"2022-10-23","arxiv_id":"2210.12748","repositories_listed":1,"syntology":{"n":22,"n_ran":18,"n_constructed":13,"n_ran_checked":13,"n_instrument":5,"n_unverified":4,"n_honours":0,"n_violates":0,"n_no_contract":13,"n_pointer_only":1,"phrase":"18 ran (of which 13 constructed an object rather than computing a result; 13 with no instrument failure: 0 honoured, 0 violated, 13 with no contract checked; 5 where Syntology's instrument failed) · 4 unverified","sample_list":"/paper/sc-wls-towards-interpretable-feed-forward#ran","syntology_url":"https://syntology.ai/paper/2210.12748","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2210.12748"}},"official":{"repos":["xinwu98/sc-wls"],"state":"official (archive's flag): 17 ran","n_ran":17,"n_constructed":13,"n_ran_no_instrument_failure":13,"n_unverified":4,"ran_from_kinds":["official","unlocated"]}}},{"url":"/paper/meta-dmoe-adapting-to-domain-shift-by-meta","slug":"meta-dmoe-adapting-to-domain-shift-by-meta","title":"Meta-DMoE: Adapting to Domain Shift by Meta-Distillation from Mixture-of-Experts","date":"2022-10-08","arxiv_id":"2210.03885","repositories_listed":1,"syntology":{"n":7,"n_ran":4,"n_constructed":0,"n_ran_checked":4,"n_instrument":0,"n_unverified":3,"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) · 3 unverified","sample_list":"/paper/meta-dmoe-adapting-to-domain-shift-by-meta#ran","syntology_url":"https://syntology.ai/paper/2210.03885","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2210.03885"}},"official":{"repos":["n3il666/meta-dmoe"],"state":"official (archive's flag): 4 ran","n_ran":4,"n_constructed":0,"n_ran_no_instrument_failure":4,"n_unverified":3,"ran_from_kinds":["official"]}}},{"url":"/paper/robust-continual-test-time-adaptation","slug":"robust-continual-test-time-adaptation","title":"NOTE: Robust Continual Test-time Adaptation Against Temporal Correlation","date":"2022-08-10","arxiv_id":"2208.05117","repositories_listed":1,"syntology":{"n":3,"n_ran":2,"n_constructed":0,"n_ran_checked":1,"n_instrument":1,"n_unverified":1,"n_honours":1,"n_violates":0,"n_no_contract":0,"n_pointer_only":0,"phrase":"2 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; 1 where Syntology's instrument failed) · 1 unverified","sample_list":"/paper/robust-continual-test-time-adaptation#ran","syntology_url":"https://syntology.ai/paper/2208.05117","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2208.05117"}},"official":{"repos":["taesikgong/note"],"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/test-time-adaptation-via-conjugate-pseudo","slug":"test-time-adaptation-via-conjugate-pseudo","title":"Test-Time Adaptation via Conjugate Pseudo-labels","date":"2022-07-20","arxiv_id":"2207.09640","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":0,"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/test-time-adaptation-via-conjugate-pseudo#ran","syntology_url":"https://syntology.ai/paper/2207.09640","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2207.09640"}},"official":{"repos":["locuslab/tta_conjugate"],"state":"official (archive's flag): 3 ran","n_ran":3,"n_constructed":0,"n_ran_no_instrument_failure":0,"n_unverified":2,"ran_from_kinds":["official"]}}},{"url":"/paper/test-time-adaptation-via-self-training-with","slug":"test-time-adaptation-via-self-training-with","title":"Test-Time Adaptation via Self-Training with Nearest Neighbor Information","date":"2022-07-08","arxiv_id":"2207.10792","repositories_listed":2,"syntology":{"n":19,"n_ran":14,"n_constructed":0,"n_ran_checked":8,"n_instrument":6,"n_unverified":5,"n_honours":0,"n_violates":1,"n_no_contract":7,"n_pointer_only":19,"phrase":"14 ran (of which 0 constructed an object rather than computing a result; 8 with no instrument failure: 0 honoured, 1 violated, 7 with no contract checked; 6 where Syntology's instrument failed) · 5 unverified","sample_list":"/paper/test-time-adaptation-via-self-training-with#ran","syntology_url":"https://syntology.ai/paper/2207.10792","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2207.10792"}},"official":{"repos":["mingukjang/tast"],"state":"official (archive's flag): 12 ran","n_ran":12,"n_constructed":0,"n_ran_no_instrument_failure":8,"n_unverified":4,"ran_from_kinds":["official","unlocated"]}}},{"url":"/paper/segmenting-moving-objects-via-an-object","slug":"segmenting-moving-objects-via-an-object","title":"Segmenting Moving Objects via an Object-Centric Layered Representation","date":"2022-07-05","arxiv_id":"2207.02206","repositories_listed":1,"syntology":{"n":21,"n_ran":16,"n_constructed":9,"n_ran_checked":12,"n_instrument":4,"n_unverified":5,"n_honours":1,"n_violates":0,"n_no_contract":11,"n_pointer_only":0,"phrase":"16 ran (of which 9 constructed an object rather than computing a result; 12 with no instrument failure: 1 honoured, 0 violated, 11 with no contract checked; 4 where Syntology's instrument failed) · 5 unverified","sample_list":"/paper/segmenting-moving-objects-via-an-object#ran","syntology_url":"https://syntology.ai/paper/2207.02206","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2207.02206"}},"official":{"repos":["Jyxarthur/OCLR_model"],"state":"official (archive's flag): 16 ran","n_ran":16,"n_constructed":9,"n_ran_no_instrument_failure":12,"n_unverified":5,"ran_from_kinds":["official"]}}},{"url":"/paper/robustifying-vision-transformer-without","slug":"robustifying-vision-transformer-without","title":"Robustifying Vision Transformer without Retraining from Scratch by Test-Time Class-Conditional Feature Alignment","date":"2022-06-28","arxiv_id":"2206.13951","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":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/robustifying-vision-transformer-without#ran","syntology_url":"https://syntology.ai/paper/2206.13951","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2206.13951"}},"official":{"repos":["kojima-takeshi188/cfa"],"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"]}}}],"record_sha256":"ce08e2ab0d017a7691d0e8a8f4afac12cc097a0a607902129985c1d9d7aafa11","record_changed_at":"2026-09-28","record_changed_at_basis":"first_hashed"}