{"id":"W4405867763","doi":"10.1145/3696409.3700171","title":"Accelerating Inference of Networks in the Frequency Domain","year":2024,"lang":"en","type":"article","venue":"","topic":"Advanced Memory and Neural Computing","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Computer science; Inference; Frequency domain; Domain (mathematical analysis); Artificial intelligence; Mathematics; Computer vision","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":[0.0009412725,0.0005403285,0.000610138,0.0006580082,0.0003179544,0.0009064556,0.001183576,0.0008128126,0.004119762],"category_scores_gemma":[0.007209566,0.0003387599,0.000458646,0.0006207701,0.0004000758,0.001546391,0.0008702704,0.001397305,0.0009778207],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006332542,"about_ca_system_score_gemma":0.001118266,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009348305,"about_ca_topic_score_gemma":0.0169814,"domain_scores_codex":[0.99961,0.0000857885,0.0000223794,0.00009074492,0.0001364029,0.00005470185],"domain_scores_gemma":[0.9977698,0.001401245,0.0001076489,0.0003110049,0.0003593696,0.000050911],"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":[0.0002351431,0.0001089284,0.00267404,0.0001392822,0.0001147471,0.00009592731,0.00009804682,0.4891207,0.01036425,0.02364913,0.005413031,0.4679867],"study_design_scores_gemma":[0.000006741383,0.00001080051,0.0001644751,0.000004381466,0.000008259493,0.00001560988,0.000008021868,0.9901895,0.001403852,0.007768654,0.0004174237,0.000002218434],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0412665,0.000406473,0.9537936,0.0002879861,0.0001517147,0.00002610014,0.00008883433,0.001805941,0.002172829],"genre_scores_gemma":[0.5299517,0.0003967207,0.4629303,0.0001687269,0.0001615789,0.00006049617,0.0004142633,0.0002107108,0.005705455],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009348305,"threshold_uncertainty_score":0.01858777,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02619152385763815,"score_gpt":0.2683879847946556,"score_spread":0.2421964609370174,"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."}}