{"id":"W3207180064","doi":"10.48550/arxiv.2101.10423","title":"Online Continual Learning in Image Classification: An Empirical Survey","year":2021,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Domain Adaptation and Few-Shot Learning","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Forgetting; Computer science; Machine learning; Artificial intelligence; Classifier (UML); Class (philosophy); Variety (cybernetics)","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":[0.005350684,0.001923188,0.002544554,0.003042153,0.0007363089,0.002784065,0.003499703,0.002186765,0.003295624],"category_scores_gemma":[0.01817851,0.0008036114,0.001243162,0.003926835,0.001320538,0.006746836,0.001804525,0.003545925,0.002688681],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00132719,"about_ca_system_score_gemma":0.001558642,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003793998,"about_ca_topic_score_gemma":0.002693244,"domain_scores_codex":[0.9971157,0.0007267277,0.0002854411,0.0009384886,0.0007604759,0.0001731621],"domain_scores_gemma":[0.9870613,0.009555017,0.0004870986,0.001274135,0.001301777,0.0003206403],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003234151,0.0005725807,0.007392174,0.001595202,0.0001634329,0.00006021094,0.0001134587,0.02339514,0.0007538604,0.006116717,0.01544075,0.944073],"study_design_scores_gemma":[0.0001265851,0.001340054,0.01446273,0.001917881,0.0004515143,0.001289056,0.0008295643,0.8198196,0.007776639,0.04737025,0.1044279,0.000188154],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.07649218,0.5030525,0.3891003,0.005300366,0.001331726,0.0003713273,0.001027422,0.004023053,0.01930117],"genre_scores_gemma":[0.5605532,0.1715211,0.2467462,0.002796069,0.002596853,0.000420493,0.004491189,0.0008381848,0.01003668],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.005350684,"threshold_uncertainty_score":0.02829742,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1961559989774746,"score_gpt":0.2663611067145922,"score_spread":0.07020510773711755,"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."}}