{"id":"W4390873538","doi":"10.1109/iccv51070.2023.00166","title":"Parametric Information Maximization for Generalized Category Discovery","year":2023,"lang":"en","type":"article","venue":"","topic":"Text and Document Classification Technologies","field":"Computer Science","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut National de la Recherche Scientifique; Thales (Canada)","funders":"","keywords":"Parameterized complexity; Maximization; Computer science; Parametric statistics; Mutual information; Class (philosophy); Code (set theory); Data mining; Nonparametric statistics; Artificial intelligence; Theoretical computer science; Machine learning; Algorithm; Mathematics; Mathematical optimization; Statistics; Set (abstract data type); Programming language","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01189839,0.001856275,0.003075664,0.002884216,0.001089771,0.003645578,0.005688806,0.003336981,0.004230587],"category_scores_gemma":[0.03312018,0.001262746,0.002533157,0.004707407,0.003135193,0.006028085,0.005237724,0.005038107,0.002099916],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00296908,"about_ca_system_score_gemma":0.002941845,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003086949,"about_ca_topic_score_gemma":0.00342867,"domain_scores_codex":[0.9919515,0.004251707,0.0003421092,0.001576055,0.001415825,0.0004629196],"domain_scores_gemma":[0.9855042,0.01012719,0.0008954348,0.001898468,0.001211121,0.0003636008],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0002566085,0.0002309524,0.002829272,0.0005498456,0.0003816794,0.0001975453,0.0003999193,0.538397,0.001962686,0.2177768,0.01940701,0.2176107],"study_design_scores_gemma":[0.00001843342,0.00003409231,0.0002236857,0.0000326857,0.00001812543,0.00006959794,0.00002278561,0.7738621,0.0005827347,0.2224585,0.002654487,0.00002297278],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.003461767,0.0003873372,0.9937484,0.0005441083,0.00002016228,0.00006915834,0.0003251996,0.0004021929,0.001041603],"genre_scores_gemma":[0.23461,0.0009553937,0.7523061,0.001204806,0.0002848875,0.001129234,0.003388817,0.0006607611,0.005460047],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01189839,"threshold_uncertainty_score":0.0629254,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02811367513141904,"score_gpt":0.2630281952364658,"score_spread":0.2349145201050468,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}