{"id":"W2964059481","doi":"10.5555/3327757.3327863","title":"Sparse Attentive Backtracking: Temporal Credit Assignment Through Reminding","year":2018,"lang":"en","type":"article","venue":"PolyPublie (École Polytechnique de Montréal)","topic":"Domain Adaptation and Few-Shot Learning","field":"Computer Science","cited_by":39,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal; University of Ottawa; Université de Montréal","funders":"","keywords":"Computer science; Backtracking; Artificial intelligence; Term (time); State (computer science); Long short term memory; Computation; Machine learning; Recurrent neural network; Artificial neural network; Algorithm","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001077409,0.0004054497,0.0003723388,0.0003274992,0.0006373152,0.0006472764,0.001370969,0.0002543564,0.0001461899],"category_scores_gemma":[0.0002309419,0.0004131611,0.0001913844,0.0009418037,0.0002186118,0.001442969,0.0005617497,0.0005303701,0.0002651523],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005320833,"about_ca_system_score_gemma":0.0002477565,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001223621,"about_ca_topic_score_gemma":0.0003436371,"domain_scores_codex":[0.9965884,0.0002301635,0.0005972821,0.0008497562,0.0007379148,0.0009964778],"domain_scores_gemma":[0.9977012,0.0001535518,0.0004114317,0.001162868,0.0002273021,0.0003436952],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002400389,0.001077407,0.0978836,0.00007623823,0.0003380238,0.0006582937,0.01725186,0.002286152,0.03836794,0.6370143,0.05413876,0.1506674],"study_design_scores_gemma":[0.002325538,0.001141891,0.06927633,0.0003436593,0.00006855635,0.0004345653,0.00152045,0.6276209,0.05325202,0.02021057,0.2214989,0.002306653],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01772525,0.0002094367,0.9674659,0.003806541,0.0006200399,0.0005039899,0.0000070734,0.001095448,0.008566343],"genre_scores_gemma":[0.6642379,0.00002688151,0.3311176,0.0024299,0.0003739665,0.0001060849,0.0000113359,0.00004130465,0.001654955],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.6465127,"threshold_uncertainty_score":0.999832,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0282015315563719,"score_gpt":0.2634632335627978,"score_spread":0.2352617020064259,"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."}}