{"id":"W2963507023","doi":"10.1609/aaai.v33i01.33013470","title":"On-Line Adaptative Curriculum Learning for GANs","year":2019,"lang":"en","type":"article","venue":"","topic":"Machine Learning and Data Classification","field":"Computer Science","cited_by":41,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut National de la Recherche Scientifique; McGill University","funders":"","keywords":"Discriminator; Computer science; Generator (circuit theory); Generative grammar; Adversarial system; Cover (algebra); Artificial intelligence; Entropy (arrow of time); Machine learning; Convergence (economics)","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":[0.00170893,0.001298354,0.0009891825,0.0005583929,0.000404737,0.0008061769,0.002023161,0.001310713,0.003597166],"category_scores_gemma":[0.006136053,0.0005905646,0.0006093941,0.0004415542,0.001018829,0.001695465,0.001854087,0.002667841,0.000992667],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001249767,"about_ca_system_score_gemma":0.000785675,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002122847,"about_ca_topic_score_gemma":0.003831872,"domain_scores_codex":[0.9993482,0.0002632118,0.00002236266,0.0001726137,0.0001137689,0.00007972939],"domain_scores_gemma":[0.9982995,0.001091766,0.0001263563,0.0002160996,0.0001702143,0.00009609912],"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":[0.0000928618,0.00007344061,0.0009363151,0.00005606843,0.00003920797,0.00005911286,0.00006926129,0.9094647,0.002218268,0.01353298,0.00223986,0.07121804],"study_design_scores_gemma":[0.0000043614,0.00001244464,0.00004641266,0.000004842079,0.000002353023,0.00001086318,0.000003858363,0.9941071,0.0003659079,0.005178043,0.0002614349,0.000002218976],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01686953,0.0002447447,0.9792354,0.0002183826,0.00003676119,0.00007384629,0.00007657088,0.001103049,0.002141729],"genre_scores_gemma":[0.7472457,0.0003165863,0.2431524,0.0006311897,0.00009526595,0.0004066059,0.0006082598,0.0004537673,0.007090342],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003597166,"threshold_uncertainty_score":0.01203376,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02301671552400114,"score_gpt":0.2934025239861666,"score_spread":0.2703858084621655,"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."}}