{"id":"W2997520586","doi":"10.1609/aaai.v34i03.5632","title":"Relative Attributing Propagation: Interpreting the Comparative Contributions of Individual Units in Deep Neural Networks","year":2020,"lang":"en","type":"article","venue":"Proceedings of the AAAI Conference on Artificial Intelligence","topic":"Explainable Artificial Intelligence (XAI)","field":"Computer Science","cited_by":88,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kootenay Association for Science & Technology","funders":"Institute for Information and Communications Technology Promotion; Ministry of Science and ICT, South Korea","keywords":"Deep neural networks; Relevance (law); Attribution; Computer science; Artificial neural network; Segmentation; Artificial intelligence; Perspective (graphical); Psychology; Social psychology","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":[0.005588563,0.001825485,0.0004484919,0.002748555,0.0006840497,0.002360229,0.001474871,0.001343128,0.002065136],"category_scores_gemma":[0.0224899,0.0005900523,0.0006649994,0.001860324,0.002023688,0.00505714,0.002416289,0.002266387,0.0003936101],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009059682,"about_ca_system_score_gemma":0.0007292479,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001943676,"about_ca_topic_score_gemma":0.002134994,"domain_scores_codex":[0.9987041,0.0004963839,0.00006760889,0.0002893706,0.0003191074,0.0001234128],"domain_scores_gemma":[0.9931009,0.004081917,0.0008996319,0.0009030913,0.0007879901,0.000226537],"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":[0.001280358,0.00016245,0.02603321,0.0004790778,0.0002802282,0.0006681758,0.003158574,0.2313759,0.03957356,0.06314232,0.002684212,0.6311619],"study_design_scores_gemma":[0.00004551168,0.0002500654,0.01433351,0.0001613175,0.0002807325,0.0003272934,0.0006149128,0.7819444,0.04004629,0.1572204,0.004659794,0.0001158317],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.2032208,0.00120504,0.7859785,0.0007736559,0.0001940201,0.000118966,0.0002109928,0.001694241,0.00660382],"genre_scores_gemma":[0.8785064,0.0005058482,0.1183034,0.0001131847,0.0001080451,0.00006216972,0.0001877433,0.0003404929,0.001872745],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.005588563,"threshold_uncertainty_score":0.0295555,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.128441936677837,"score_gpt":0.3185824456767782,"score_spread":0.1901405089989412,"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."}}