{"id":"W3108916577","doi":"","title":"ImCLR: Implicit Contrastive Learning for Image Classification","year":2021,"lang":"en","type":"article","venue":"arXiv (Cornell University)","topic":"Domain Adaptation and Few-Shot Learning","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Robustness (evolution); Artificial intelligence; Benchmark (surveying); Hyperparameter; Machine learning; Supervised learning; Network architecture; Pattern recognition (psychology); Artificial neural network","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":[0.002041573,0.002331269,0.001073256,0.001173803,0.0005509108,0.001369937,0.004906151,0.002022009,0.005351291],"category_scores_gemma":[0.008039627,0.0006458896,0.001287036,0.0009976722,0.001611794,0.003743855,0.003699921,0.005211145,0.00347251],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001006828,"about_ca_system_score_gemma":0.0009423932,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001788517,"about_ca_topic_score_gemma":0.003195475,"domain_scores_codex":[0.9987644,0.0003369177,0.00004749908,0.0003921493,0.0003366203,0.0001224414],"domain_scores_gemma":[0.9979708,0.0006622811,0.0002111841,0.0007562813,0.0002920292,0.0001074109],"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":[0.000513961,0.0005119267,0.002670217,0.0004918801,0.000218781,0.0002649491,0.0002201585,0.1708187,0.04276921,0.04041865,0.03046162,0.71064],"study_design_scores_gemma":[0.00006291206,0.0002633092,0.0004481168,0.00005726166,0.00003082872,0.0001844331,0.00002489114,0.9395943,0.0213172,0.03089755,0.007084073,0.00003505199],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01976877,0.0008728957,0.9632102,0.0005732711,0.0002068089,0.0001844682,0.000521907,0.008118478,0.006543316],"genre_scores_gemma":[0.3940343,0.0006471507,0.5871978,0.001429763,0.0002896475,0.0006129873,0.002735824,0.001313291,0.01173926],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005351291,"threshold_uncertainty_score":0.0179019,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07425106803374812,"score_gpt":0.2040269738932146,"score_spread":0.1297759058594664,"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."}}