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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
Quantum Algorithms for Fixed Qubit Architectures
Edward Farhi, Jared V. Goldstone 외 2명
arXiv (Cornell University)
|
2017
|
90 회 인용
Reading Wikipedia to Answer Open-Domain Questions
Danqi Chen, Adam Fisch 외 2명
arXiv (Cornell University)
|
2017
|
90 회 인용
Robust Feature Selection by Mutual Information Distributions
Marco Zaffalon, Marcus Hütter
arXiv (Cornell University)
|
2002
|
90 회 인용
Scale-Aware Trident Networks for Object Detection
Yanghao Li, Yuntao Chen 외 2명
arXiv (Cornell University)
|
2019
|
90 회 인용
Semi-Supervised Deep Learning for Monocular Depth Map Prediction
Yevhen Kuznietsov, Jörg Stückler 외 1명
arXiv (Cornell University)
|
2017
|
90 회 인용
SwellShark: A Generative Model for Biomedical Named Entity Recognition without Labeled Data
Jason Fries, Sen Wu 외 2명
arXiv (Cornell University)
|
2017
|
90 회 인용
TAPEX: Table Pre-training via Learning a Neural SQL Executor
Qian Liu, Bei Chen 외 5명
arXiv (Cornell University)
|
2021
|
90 회 인용
The Convergence Rate of Neural Networks for Learned Functions of Different Frequencies
Ronen Basri, David Jacobs 외 2명
arXiv (Cornell University)
|
2019
|
90 회 인용
The decoupling approach to quantum information theory
Frédéric Dupuis
arXiv (Cornell University)
|
2010
|
90 회 인용
The generalization error of max-margin linear classifiers: Benign overfitting and high dimensional asymptotics in the overparametrized regime
Andrea Montanari, Feng Ruan 외 2명
arXiv (Cornell University)
|
2019
|
90 회 인용
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