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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
Testing Deep Neural Networks
Youcheng Sun, Xiaowei Huang 외 4명
arXiv (Cornell University)
|
2018
|
175 회 인용
Understanding and Improving Layer Normalization
Jingjing Xu, Xu Sun 외 3명
arXiv (Cornell University)
|
2019
|
175 회 인용
Unsupervised Data Augmentation
Qizhe Xie, Zihang Dai 외 3명
arXiv (Cornell University)
|
2019
|
175 회 인용
A Berkeley View of Systems Challenges for AI
Ion Stoica, Dawn Song 외 12명
arXiv (Cornell University)
|
2017
|
174 회 인용
A Deep-Reinforcement Learning Approach for Software-Defined Networking Routing Optimization
Giorgio Stampa, Marta Arias 외 3명
arXiv (Cornell University)
|
2017
|
174 회 인용
Bitwise Neural Networks
Minje Kim, Paris Smaragdis
arXiv (Cornell University)
|
2016
|
174 회 인용
Decoupled Deep Neural Network for Semi-supervised Semantic Segmentation
Seunghoon Hong, Hyeonwoo Noh 외 1명
arXiv (Cornell University)
|
2015
|
174 회 인용
DetNAS: Backbone Search for Object Detection
Yukang Chen, Tong Yang 외 4명
arXiv (Cornell University)
|
2019
|
174 회 인용
End-to-End Multi-View Fusion for 3D Object Detection in LiDAR Point Clouds
Yin Zhou, Pei Sun 외 7명
arXiv (Cornell University)
|
2019
|
174 회 인용
Error-tolerant Finite State Recognition with Applications to Morphological Analysis and Spelling Correction
Kemal Oflazer
ArXiv.org
|
1995
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174 회 인용
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