{"id":"W4417170031","doi":"10.1109/sita67914.2025.11273464","title":"LoTAS: A Novel Activation Function for Deep Neural Networks","year":2025,"lang":"","type":"article","venue":"","topic":"Stochastic Gradient Optimization Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut National de la Recherche Scientifique; Natural Sciences and Engineering Research Council of Canada","funders":"","keywords":"Activation function; Residual; Smoothness; Artificial neural network; Normalization (sociology); Deep neural networks; Balanced flow; Stability (learning theory)","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":[0.0007213523,0.0007533047,0.0004456577,0.0004173918,0.0002842503,0.0006008478,0.001336055,0.0007054009,0.00301409],"category_scores_gemma":[0.001363104,0.0002766096,0.0005014997,0.0004198658,0.0005211016,0.001305438,0.001179426,0.001457519,0.001374267],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004344996,"about_ca_system_score_gemma":0.0008127774,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009766886,"about_ca_topic_score_gemma":0.001932221,"domain_scores_codex":[0.9997484,0.00007035644,0.00001683713,0.00003652478,0.0001010488,0.00002683139],"domain_scores_gemma":[0.999739,0.00009242361,0.0000292777,0.00003195101,0.00007150864,0.0000357587],"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":[0.0005125616,0.0001640294,0.001100103,0.0003502748,0.000100033,0.0001961565,0.0001500591,0.3735826,0.05720578,0.09646891,0.0153986,0.4547709],"study_design_scores_gemma":[0.00002427934,0.0001103535,0.0001201127,0.00002046855,0.00001354043,0.00008563585,0.00001090085,0.9596023,0.01074252,0.02003536,0.009215871,0.00001878644],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0112475,0.0006313059,0.9822341,0.0002658139,0.00009582222,0.00004370186,0.0001371405,0.002409749,0.002934973],"genre_scores_gemma":[0.4871812,0.00116999,0.494417,0.0006827161,0.0001492952,0.000376583,0.0006902956,0.001169828,0.01416311],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00301409,"threshold_uncertainty_score":0.01008314,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01880123241813505,"score_gpt":0.2578916871350734,"score_spread":0.2390904547169383,"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."}}