{"id":"W3124328990","doi":"10.48550/arxiv.2101.08732","title":"Self-Adaptive Training: Bridging Supervised and Self-Supervised Learning","year":2021,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Machine Learning and Data Classification","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Computer science; Artificial intelligence; Machine learning; Bridging (networking); Deep learning; Artificial neural network; Generalization; Noise (video); Supervised learning; Deep neural networks; Code (set theory); Stochastic gradient descent; Mathematics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003541155,0.001180278,0.001215604,0.0008208511,0.0005612968,0.001308489,0.003379778,0.001683151,0.001556536],"category_scores_gemma":[0.01128867,0.0007552124,0.0007174446,0.0007501993,0.002455447,0.003644075,0.003455766,0.002355834,0.0007310284],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009239286,"about_ca_system_score_gemma":0.0013226,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001387919,"about_ca_topic_score_gemma":0.002005385,"domain_scores_codex":[0.9983601,0.0005732073,0.00007453348,0.0004629803,0.0003827539,0.0001464613],"domain_scores_gemma":[0.9937739,0.002745755,0.000686747,0.001732914,0.0007836135,0.0002769443],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002012928,0.000337782,0.004152223,0.0002213791,0.0001420025,0.0001769541,0.000484112,0.6533258,0.01157885,0.04927295,0.005193974,0.2749127],"study_design_scores_gemma":[0.000009039005,0.00003965259,0.000142103,0.00001200294,0.000006303242,0.00002576611,0.000008148153,0.9854215,0.001778038,0.01190746,0.0006423251,0.000007672708],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01568963,0.0002604201,0.9812695,0.0002769396,0.00005151636,0.00006957776,0.00002806345,0.001065669,0.001288597],"genre_scores_gemma":[0.5939022,0.0003557446,0.4009886,0.0006091157,0.0001989329,0.0003607886,0.0002102039,0.0005635506,0.00281089],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003541155,"threshold_uncertainty_score":0.01872766,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06963188995158896,"score_gpt":0.1944066344483238,"score_spread":0.1247747444967349,"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."}}