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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
Learning Deep Generative Models of Graphs
Yujia Li, Oriol Vinyals 외 3명
arXiv (Cornell University)
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2018
|
447 회 인용
Action-Conditional Video Prediction using Deep Networks in Atari Games
Junhyuk Oh, Xiaoxiao Guo 외 3명
arXiv (Cornell University)
|
2015
|
446 회 인용
Gated Graph Sequence Neural Networks
Yujia Li, Daniel Tarlow 외 2명
arXiv (Cornell University)
|
2015
|
446 회 인용
Learning to Simulate Complex Physics with Graph Networks
Álvaro Sánchez‐González, Jonathan Godwin 외 4명
arXiv (Cornell University)
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2020
|
445 회 인용
TextBoxes: A Fast Text Detector with a Single Deep Neural Network
Minghui Liao, Baoguang Shi 외 3명
arXiv (Cornell University)
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2016
|
445 회 인용
Energy-Efficient Management of Data Center Resources for Cloud Computing: A Vision, Architectural Elements, and Open Challenges
Rajkumar Buyya, Anton Beloglazov 외 1명
2010
|
444 회 인용
Born Again Neural Networks
Tommaso Furlanello, Zachary C. Lipton 외 3명
arXiv (Cornell University)
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2018
|
443 회 인용
Communication-Efficient On-Device Machine Learning: Federated Distillation and Augmentation under Non-IID Private Data
Eunjeong Jeong, Seungeun Oh 외 4명
arXiv (Cornell University)
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2018
|
443 회 인용
Asynchronous Federated Optimization
Cong Xie, Oluwasanmi Koyejo 외 1명
arXiv (Cornell University)
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2019
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442 회 인용
Semantic Instance Segmentation with a Discriminative Loss Function
Bert De Brabandere, Davy Neven 외 1명
arXiv (Cornell University)
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2017
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442 회 인용
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