{"id":"W2515193474","doi":"10.1145/2964284.2967273","title":"Scalable Compression of Deep Neural Networks","year":2016,"lang":"en","type":"article","venue":"","topic":"Advanced Neural Network Applications","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"Natural Sciences and Engineering Research Council of Canada; Nvidia","keywords":"Computer science; Scalability; Artificial neural network; Upgrade; Distributed computing; Computer network; Artificial intelligence; Operating system","routes":{"ca_aff":true,"ca_fund":true,"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":[0.000376369,0.0008550349,0.0005749637,0.000580812,0.0002395792,0.0004612168,0.0008582539,0.0004805553,0.001538499],"category_scores_gemma":[0.002117176,0.0002406982,0.0002612887,0.0007740278,0.0003534295,0.001270197,0.0008004214,0.001061976,0.0003729936],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005299069,"about_ca_system_score_gemma":0.0004519133,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003348882,"about_ca_topic_score_gemma":0.004822324,"domain_scores_codex":[0.9996765,0.00003899533,0.00002042702,0.00005681173,0.0001727567,0.00003458995],"domain_scores_gemma":[0.9995294,0.0001860987,0.00003575697,0.0001143813,0.0001184068,0.00001604684],"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":[0.0002705733,0.00008592665,0.000730382,0.00013526,0.00004791011,0.0002604713,0.0001018849,0.4656675,0.04536283,0.01069462,0.007808926,0.4688337],"study_design_scores_gemma":[0.000008617745,0.00001973161,0.0001699205,0.000008792695,0.000005485614,0.0000369335,0.000009941162,0.9838778,0.01101812,0.003681234,0.001157416,0.000006011751],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.06718132,0.001892437,0.9216191,0.0004736955,0.0002401562,0.0000778332,0.0004118391,0.003264068,0.004839553],"genre_scores_gemma":[0.7417566,0.001166172,0.2489043,0.0003106122,0.0001645385,0.000161854,0.001059576,0.0002422627,0.006234141],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003348882,"threshold_uncertainty_score":0.006658792,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01454008785756187,"score_gpt":0.2535821708241046,"score_spread":0.2390420829665428,"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."}}