{"id":"W2993921587","doi":"10.1109/cvpr42600.2020.00586","title":"Exploring Unlabeled Faces for Novel Attribute Discovery","year":2020,"lang":"en","type":"preprint","venue":"","topic":"Generative Adversarial Networks and Image Synthesis","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kootenay Association for Science & Technology","funders":"","keywords":"Computer science; Artificial intelligence; Normalization (sociology); Translation (biology); Bottleneck; Labeled data; Image (mathematics); Pattern recognition (psychology); Image translation; Limiting; Machine learning","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":[0.002163734,0.0009378882,0.0007801273,0.0007267964,0.0005229418,0.0009325725,0.001135244,0.001012436,0.003151493],"category_scores_gemma":[0.004474977,0.000468466,0.000964152,0.0006470543,0.001610237,0.001815559,0.001665639,0.0019929,0.001411341],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006243385,"about_ca_system_score_gemma":0.0005518003,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001530123,"about_ca_topic_score_gemma":0.002144865,"domain_scores_codex":[0.9992383,0.0002997021,0.00002007722,0.0002311045,0.0001471596,0.00006372962],"domain_scores_gemma":[0.9982809,0.0008331602,0.0001102861,0.0005592319,0.0001558458,0.00006050653],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005635147,0.0003018714,0.00429488,0.0002394917,0.0001377971,0.0003498972,0.0004694852,0.3691581,0.04921132,0.05998909,0.009638241,0.5056464],"study_design_scores_gemma":[0.00001842659,0.00006011756,0.0004982231,0.00002159857,0.00002068231,0.0001846778,0.00007615322,0.9335207,0.01655383,0.0457633,0.003265565,0.00001670973],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04329358,0.0003779873,0.9511237,0.0005362488,0.00007792824,0.00007567153,0.0002148772,0.0007777687,0.003522339],"genre_scores_gemma":[0.6656981,0.0006168192,0.3235035,0.000652754,0.0001703763,0.0001545165,0.001258927,0.0002602693,0.007684738],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003151493,"threshold_uncertainty_score":0.01144308,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3021136911512163,"score_gpt":0.288838380592467,"score_spread":0.01327531055874925,"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."}}