{"id":"W4403792311","doi":"10.1145/3664647.3680638","title":"MetaRepair: Learning to Repair Deep Neural Networks from Repairing Experiences","year":2024,"lang":"en","type":"article","venue":"","topic":"Adversarial Robustness in Machine Learning","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Computer science; Artificial neural network; Deep learning; Artificial intelligence","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":[0.002430641,0.001407364,0.001173623,0.0006325599,0.0003006493,0.000890968,0.002935256,0.002237291,0.00465831],"category_scores_gemma":[0.01121153,0.0006665775,0.0008328687,0.0003586072,0.001770264,0.002574225,0.0040427,0.002803605,0.0008362536],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005198551,"about_ca_system_score_gemma":0.000622267,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008940187,"about_ca_topic_score_gemma":0.001102272,"domain_scores_codex":[0.9992719,0.0001922975,0.0000454267,0.0002156717,0.0001834942,0.00009130128],"domain_scores_gemma":[0.996493,0.001805897,0.0003212892,0.0009348814,0.0002993702,0.000145437],"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":[0.0004543195,0.0001428269,0.001185318,0.0002179194,0.0001807639,0.0003015444,0.0001808734,0.7502534,0.007916255,0.02321149,0.008157879,0.2077973],"study_design_scores_gemma":[0.00001104613,0.00007281596,0.00008057572,0.00001612635,0.00001544642,0.00004844367,0.00001433727,0.9791754,0.002299516,0.01771624,0.0005403797,0.000009495991],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01863581,0.0004428367,0.9755452,0.0003070457,0.0001550893,0.00005445709,0.0001101095,0.003322945,0.001426472],"genre_scores_gemma":[0.7798275,0.000313572,0.2110457,0.0004715905,0.0001522065,0.0002325135,0.0005029952,0.0007647715,0.006689238],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.00465831,"threshold_uncertainty_score":0.01558363,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01153376657467691,"score_gpt":0.262647829319945,"score_spread":0.251114062745268,"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."}}