{"id":"W4293025003","doi":"10.1145/3489517.3530417","title":"Sign bit is enough","year":2022,"lang":"en","type":"article","venue":"Proceedings of the 59th ACM/IEEE Design Automation Conference","topic":"Stochastic Gradient Optimization Techniques","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo; University of British Columbia","funders":"Natural Science Foundation of Jiangsu Province; National Natural Science Foundation of China","keywords":"Computer science; Compression (physics); Sign (mathematics); Synchronization (alternating current); Data compression; Convergence (economics); Process (computing); Stochastic gradient descent; Rate of convergence; Compression ratio; Algorithm; Computer engineering; Artificial intelligence; Artificial neural network; Key (lock); Computer network; Mathematics; Engineering","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":[],"consensus_categories":[],"category_scores_codex":[0.0008262729,0.0002079177,0.0002296746,0.0002462486,0.0004559717,0.0002114194,0.003852587,0.00005732015,0.0001654059],"category_scores_gemma":[0.0004551145,0.0001825121,0.00009479652,0.001242701,0.00009455914,0.0007321321,0.0009137361,0.0002360497,0.00001527409],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000127669,"about_ca_system_score_gemma":0.000203468,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009917481,"about_ca_topic_score_gemma":6.018094e-8,"domain_scores_codex":[0.997851,0.00005053554,0.0004647403,0.0004677147,0.0008713733,0.0002946414],"domain_scores_gemma":[0.9979662,0.0001743725,0.0006451257,0.0005208189,0.0006227025,0.00007083506],"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":[0.00005112343,0.0003550191,0.0005556047,0.0001596888,0.00008628927,0.000001273841,0.01377708,0.005218032,0.08488688,0.7961023,0.07854328,0.02026338],"study_design_scores_gemma":[0.0003677612,0.0002945662,0.0004960623,0.00006515597,0.00002362779,0.00003731807,0.0001783016,0.6201645,0.2651253,0.1117939,0.001078581,0.0003749322],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.003401712,0.00002270126,0.988739,0.003963633,0.0004156941,0.0008498146,0.000008366821,0.0007228415,0.001876313],"genre_scores_gemma":[0.7889418,0.000005342851,0.2097234,0.0006649115,0.00002048043,0.0002549089,9.158662e-7,0.00001572165,0.0003725564],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7855401,"threshold_uncertainty_score":0.7442626,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05070908028859344,"score_gpt":0.2504699652188029,"score_spread":0.1997608849302095,"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."}}