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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
Beyond triplet loss: a deep quadruplet network for person re-identification
Weihua Chen, Xiaotang Chen 외 2명
arXiv (Cornell University)
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2017
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114 회 인용
Black box variational inference for state space models
Evan Archer, Il Memming Park 외 3명
arXiv (Cornell University)
|
2015
|
114 회 인용
Can Spatiotemporal 3D CNNs Retrace the History of 2D CNNs and ImageNet?
Kensho Hara, Hirokatsu Kataoka 외 1명
arXiv (Cornell University)
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2017
|
114 회 인용
Category Anchor-Guided Unsupervised Domain Adaptation for Semantic Segmentation
Qiming Zhang, Jing Zhang 외 2명
arXiv (Cornell University)
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2019
|
114 회 인용
Classifying Relations via Long Short Term Memory Networks along Shortest Dependency Path
Yan Xu, Lili Mou 외 4명
arXiv (Cornell University)
|
2015
|
114 회 인용
Combining Label Propagation and Simple Models Out-performs Graph Neural Networks
Qian Huang, Horace He 외 3명
arXiv (Cornell University)
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2020
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114 회 인용
Communication-Efficient Distributed Dual Coordinate Ascent
Martin Jaggi, Virginia Smith 외 5명
arXiv (Cornell University)
|
2014
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114 회 인용
Compositional Semantic Parsing on Semi-Structured Tables
Panupong Pasupat, Percy Liang
arXiv (Cornell University)
|
2015
|
114 회 인용
Connecting the Dots: Multivariate Time Series Forecasting with Graph Neural Networks
Zonghan Wu, Shirui Pan 외 4명
arXiv (Cornell University)
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2020
|
114 회 인용
Deep Learning of Representations: Looking Forward
Yoshua Bengio
arXiv (Cornell University)
|
2013
|
114 회 인용
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