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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
Large-scale Multi-label Learning with Missing Labels
Hsiang‐Fu Yu, Prateek Jain 외 2명
arXiv (Cornell University)
|
2013
|
369 회 인용
Modern hierarchical, agglomerative clustering algorithms
Daniel Müllner
arXiv (Cornell University)
|
2011
|
369 회 인용
NoSQL Database: New Era of Databases for Big data Analytics - Classification, Characteristics and Comparison
A B M Moniruzzaman, Syed Akhter Hossain
arXiv (Cornell University)
|
2013
|
369 회 인용
Adversarial Attacks on Graph Neural Networks via Meta Learning
Daniel Zügner, Stephan Günnemann
arXiv (Cornell University)
|
2019
|
368 회 인용
Can You Really Backdoor Federated Learning?
Ziteng Sun, Peter Kairouz 외 2명
arXiv (Cornell University)
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2019
|
368 회 인용
Deep CORAL: Correlation Alignment for Deep Domain Adaptation
Baochen Sun, Kate Saenko
arXiv (Cornell University)
|
2016
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368 회 인용
Deep k-Nearest Neighbors: Towards Confident, Interpretable and Robust Deep Learning
Nicolas Papernot, Patrick McDaniel
arXiv (Cornell University)
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2018
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368 회 인용
Improving Federated Learning Personalization via Model Agnostic Meta Learning
Yihan Jiang, Jakub Konečný 외 2명
arXiv (Cornell University)
|
2019
|
368 회 인용
PEGASUS: A Policy Search Method for Large MDPs and POMDPs
Andrew Y. Ng, Michael I. Jordan
arXiv (Cornell University)
|
2013
|
368 회 인용
Swin Transformer: Hierarchical Vision Transformer using Shifted Windows
Ze Liu, Yutong Lin 외 6명
arXiv (Cornell University)
|
2021
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368 회 인용
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