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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
U-Net: Convolutional Networks for Biomedical Image Segmentation
Olaf Ronneberger
arXiv (Cornell University)
|
2015
|
102 회 인용
A Categorical Programming Language
Tatsuya Hagino
arXiv (Cornell University)
|
2020
|
101 회 인용
A Survey of Label-noise Representation Learning: Past, Present and Future
Bo Han, Quanming Yao 외 5명
arXiv (Cornell University)
|
2020
|
101 회 인용
A Survey on Text Classification: From Shallow to Deep Learning
Qian Li, Hao Peng 외 6명
arXiv (Cornell University)
|
2020
|
101 회 인용
Algorithmic Framework for Model-based Deep Reinforcement Learning with Theoretical Guarantees
Yuping Luo, Huazhe Xu 외 4명
arXiv (Cornell University)
|
2018
|
101 회 인용
An Overview of Machine Teaching
Xiaojin Zhu, Adish Singla 외 2명
arXiv (Cornell University)
|
2018
|
101 회 인용
Backprop KF: Learning Discriminative Deterministic State Estimators
Tuomas Haarnoja, Anurag Ajay 외 2명
arXiv (Cornell University)
|
2016
|
101 회 인용
Blockchain Based Intelligent Vehicle Data sharing Framework
Madhusudan Singh, Shiho Kim
arXiv (Cornell University)
|
2017
|
101 회 인용
Code Design for Short Blocks: A Survey
Gianluigi Liva, Lorenzo Gaudio 외 2명
arXiv (Cornell University)
|
2016
|
101 회 인용
Deep Reinforcement Learning for Visual Object Tracking in Videos
Da Zhang, Hamid Reza Maei 외 2명
arXiv (Cornell University)
|
2017
|
101 회 인용
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