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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
Neural Machine Translation by Jointly Learning to Align and Translate
Dzmitry Bahdanau
arXiv (Cornell University)
|
2014
|
14,567 회 인용
Distilling the Knowledge in a Neural Network
Geoffrey E. Hinton, Oriol Vinyals 외 1명
arXiv (Cornell University)
|
2015
|
13,896 회 인용
Sequence to Sequence Learning with Neural Networks
Ilya Sutskever, Oriol Vinyals 외 1명
arXiv (Cornell University)
|
2014
|
13,314 회 인용
Diagnosing Non-Intermittent Anomalies in Reinforcement Learning Policy Executions (Short Paper)
Natan, Avraham, Stern, Roni 외 1명
arXiv (Cornell University)
|
2017
|
11,253 회 인용
Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling
Jun‐Young Chung, Çaǧlar Gülçehre 외 2명
arXiv (Cornell University)
|
2014
|
10,749 회 인용
YOLOv4: Optimal Speed and Accuracy of Object Detection
Alexey Bochkovskiy, Chien-Yao Wang 외 1명
arXiv (Cornell University)
|
2020
|
10,401 회 인용
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications
Andrew Howard, Menglong Zhu 외 6명
arXiv (Cornell University)
|
2017
|
9,892 회 인용
TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems
Martı́n Abadi, Ashish Agarwal 외 38명
arXiv (Cornell University)
|
2016
|
9,726 회 인용
Conditional Generative Adversarial Nets
Mehdi Mirza, Simon Osindero
arXiv (Cornell University)
|
2014
|
8,878 회 인용
TensorFlow: A system for large-scale machine learning
Martı́n Abadi, Paul Barham 외 20명
arXiv (Cornell University)
|
2016
|
8,791 회 인용
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