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University of Oxford

국가: 정보 없음
주요 연구 분야: Artificial Intelligence
주요 키워드: #research #algorithms #security
주요 저자:
#Baobao Zhang #Markus Anderljung #Lauren Kahn #Noemi Dreksler #Michael C Horowitz

📄 기관 상세정보

출판수6
총 인용수29
평균 인용수4.83
저자 수28
좋아요 수0
연도별 출판 논문
파트별 논문
기관 키워드
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논문 목록 (6건)

Heterogeneous-agent reinforcement learning
저자: Yifan Zhong , Jakub Grudzien Kuba , Xidong Feng , Siyi Hu , Jiaming Ji , Yaodong Yang
키워드: #research #algorithms #algorithmic #convergence #theoretical
파트: Artificial Intelligence | 연도: 2024
Symbolic Task Inference in Deep Reinforcement Learning
저자: Hosein Hasanbeig , Natasha Yogananda Jeppu , Alessandro Abate , Tom F Melham , Daniel Kroening
키워드: #learning #algorithm #training #experiments #deepsynth
파트: Artificial Intelligence | 연도: 2024
Towards a Greater Understanding of Coordinated Vulnerability Disclosure Policy Documents
저자: Thomas Walshe , Andrew Simpson
키워드: #research #security #analysed #searching #hackers
파트: Strategies | 연도: 2023
Guardian: Symbolic Validation of Orderliness in SGX Enclaves
저자: Pedro R Antonino , Wojciech Aleksander Woloszyn , Andrew William Roscoe
키워드: #security #corruption #intel #processors #perpetrate
파트: Verification | 연도: 2021
Ethics and Governance of Artificial Intelligence: : Evidence from a Survey of Machine Learning Researchers
저자: Baobao Zhang , Markus Anderljung , Lauren Kahn , Noemi Dreksler , Michael C Horowitz , Allan Dafoe
키워드: #algorithms #researchers #executives #policymakers #facebook
파트: Artificial Intelligence | 연도: 2021
Best of both worlds: AutoML codesign of a CNN and its hardware accelerator
저자: Mohamed S Abdelfattah , Łukasz Dudziak , Thomas C. P. Chau , Royson Lee , Hyeji Kim , Nicholas D Lane
키워드: #neural #successful #gpu #cnns #accelerator
파트: Verification | 연도: 2020