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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
A Survey on Ethereum Systems Security: Vulnerabilities, Attacks and Defenses
Huashan Chen, Marcus Pendleton 외 2명
arXiv (Cornell University)
|
2019
|
115 회 인용
A Survey on Eye-Gaze Tracking Techniques
H. R. Chennamma, Xiaohui Yuan
arXiv (Cornell University)
|
2013
|
115 회 인용
A Survey on Sensor-based Threats to Internet-of-Things (IoT) Devices and Applications
Amit Kumar Sikder, Giuseppe Petracca 외 3명
arXiv (Cornell University)
|
2018
|
115 회 인용
AutoML-Zero: Evolving Machine Learning Algorithms From Scratch
Esteban Real, Liang Chen 외 2명
arXiv (Cornell University)
|
2020
|
115 회 인용
BiSeNet V2: Bilateral Network with Guided Aggregation for Real-time Semantic Segmentation
Changqian Yu, Changxin Gao 외 4명
arXiv (Cornell University)
|
2020
|
115 회 인용
BRECQ: Pushing the Limit of Post-Training Quantization by Block Reconstruction
Yuhang Li, Ruihao Gong 외 7명
arXiv (Cornell University)
|
2021
|
115 회 인용
Chemception: A Deep Neural Network with Minimal Chemistry Knowledge Matches the Performance of Expert-developed QSAR/QSPR Models
Garrett B. Goh, Charles Siegel 외 3명
arXiv (Cornell University)
|
2017
|
115 회 인용
Deep Contextual Video Compression
Jiahao Li, Bin Li 외 1명
arXiv (Cornell University)
|
2021
|
115 회 인용
Deep Packet: A Novel Approach For Encrypted Traffic Classification Using Deep Learning
Mohammad Nader Lotfollahi, Ramin Shirali Hossein Zade 외 2명
arXiv (Cornell University)
|
2017
|
115 회 인용
Deep Transfer Learning with Joint Adaptation Networks
Mingsheng Long, Zhu Han 외 2명
arXiv (Cornell University)
|
2016
|
115 회 인용
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