{"id":"W2138857742","doi":"","title":"Why Does Unsupervised Pre-training Help Deep Learning?","year":2010,"lang":"en","type":"article","venue":"","topic":"Domain Adaptation and Few-Shot Learning","field":"Computer Science","cited_by":2115,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Artificial intelligence; Unsupervised learning; Computer science; Machine learning; Deep learning; Regularization (linguistics); Generalization; Autoencoder; Deep belief network; Semi-supervised learning; Competitive learning; Training (meteorology); Mathematics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01361732876810003,"score_gpt":0.2434216545242386,"score_spread":0.2298043257561385,"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."}}