University of Toronto Toronto ON Canada

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University of Toronto Toronto ON Canada

국가: Canada
주요 연구 분야: Verification
주요 키워드: #learning #neural #inefficiency
주요 저자:
#Fuqiang Gu #Muhuan Chung #Mark Chignell #Shahrokh Valaee #Baoding Zhou

📄 기관 상세정보

출판수5
총 인용수202
평균 인용수40.40
저자 수28
좋아요 수0
연도별 출판 논문
파트별 논문
기관 키워드
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논문 목록 (5건)

Reinforcement Learning for Effective Few-Shot Ranking
저자: Shirin Seyedsalehi , Fattane Zarrinkalam , Ebrahim Bagheri , Sajad Ebrahimi , Shiva Soleimany
키워드: #learning #neural #inefficiency #intensive #outperforms
파트: Artificial Intelligence | 연도: 2025
Applying declarative analysis to industrial automotive software product line models
저자: Ramy Shahin , Rafael Toledo , Robert Hackman , Ramesh S , Joanne M. Atlee , Marsha Chechik
키워드: #software #automotive #engineer #engineers #motors
파트: Verification | 연도: 2023
xCos: An Explainable Cosine Metric for Face Verification Task
저자: Yu Sheng Lin , Zheyu Liu , Yuan Chen , Yu Siang Wang , Yaliang Chang , Winston H Hsu
키워드: #learnable #neural #competitive #crucial #increasing
파트: Verification | 연도: 2021
Impact of Receiver Antenna Polarization and Resource Scheduler on the Downlink Performance of High Velocity Users in 5G Millimeter Wave Small Cell Technology
저자: Fehima Tajrian , Md. Asif Ishrak Sarder , Mariea Sharaf Anzum , Moontasir Rafique , Abdullah Bin Shams
키워드: #multiplexing #high #skyrocketing #antenna #wave
파트: Networking | 연도: 2021
A Survey on Deep Learning for Human Activity Recognition
저자: Fuqiang Gu , Muhuan Chung , Mark Chignell , Shahrokh Valaee , Baoding Zhou , Xue Liu
키워드: #healthcare #learning #studies #deep #comprehensive
파트: Infrastructure | 연도: 2021