{"id":"W2981720610","doi":"10.1109/iccv.2019.00149","title":"Moment Matching for Multi-Source Domain Adaptation","year":2019,"lang":"en","type":"article","venue":"","topic":"Domain Adaptation and Few-Shot Learning","field":"Computer Science","cited_by":1574,"is_retracted":false,"has_abstract":true,"ca_institutions":"Vector Institute","funders":"","keywords":"Computer science; Matching (statistics); Source code; Domain (mathematical analysis); Benchmarking; Adaptation (eye); Domain adaptation; Moment (physics); Transfer of learning; Feature (linguistics); Artificial intelligence; Code (set theory); Data mining; Machine learning; Pattern recognition (psychology); Set (abstract data type); Mathematics; Statistics","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":0.03986913152636868,"score_gpt":0.2770098568088324,"score_spread":0.2371407252824638,"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."}}