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Computer Science 논문 리뷰
Computer Science 분야 주요 연구 논문을 연구 동기·방법·결과로 구조화한 AI 논문 리뷰 목록입니다.
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필터
9999+개의 결과
One-Shot Object Detection with Co-Attention and Co-Excitation
Ting-I Hsieh, Yi‐Chen Lo 외 2명
arXiv (Cornell University)
|
2019
|
116 회 인용
Policy Gradients with Variance Related Risk Criteria
Dotan Di Castro, Aviv Tamar 외 1명
arXiv (Cornell University)
|
2012
|
116 회 인용
Prompt Engineering for Healthcare: Methodologies and Applications
Jiaqi Wang, Enze Shi 외 22명
arXiv (Cornell University)
|
2023
|
116 회 인용
PyTorch Distributed: Experiences on Accelerating Data Parallel Training
Li Shen, Yanli Zhao 외 9명
arXiv (Cornell University)
|
2020
|
116 회 인용
q-means: A quantum algorithm for unsupervised machine learning
Iordanis Kerenidis, Jonas Landman 외 2명
arXiv (Cornell University)
|
2018
|
116 회 인용
Reinforcement and Imitation Learning for Diverse Visuomotor Skills
Yuke Zhu, Ziyu Wang 외 9명
arXiv (Cornell University)
|
2018
|
116 회 인용
Reinforcement Learning in Healthcare: A Survey
Chao Yu, Jiming Liu 외 1명
arXiv (Cornell University)
|
2019
|
116 회 인용
Relay Policy Learning: Solving Long-Horizon Tasks via Imitation and Reinforcement Learning
Abhishek Gupta, Vikash Kumar 외 3명
arXiv (Cornell University)
|
2019
|
116 회 인용
Revisiting Temporal Modeling for Video-based Person ReID
Jiyang Gao, Ram Nevatia
arXiv (Cornell University)
|
2018
|
116 회 인용
RobustBench: a standardized adversarial robustness benchmark
Francesco Croce, Maksym Andriushchenko 외 6명
arXiv (Cornell University)
|
2020
|
116 회 인용
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