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Computer Science 论文解读
Computer Science 领域重要论文的 AI 解读列表，按研究动机、方法与结果结构化呈现。
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U-Net: Convolutional Networks for Biomedical Image Segmentation
Olaf Ronneberger
arXiv (Cornell University)
|
2015
|
102 citations
A Categorical Programming Language
Tatsuya Hagino
arXiv (Cornell University)
|
2020
|
101 citations
A Survey of Label-noise Representation Learning: Past, Present and Future
Bo Han, Quanming Yao, +5
arXiv (Cornell University)
|
2020
|
101 citations
A Survey on Text Classification: From Shallow to Deep Learning
Qian Li, Hao Peng, +6
arXiv (Cornell University)
|
2020
|
101 citations
Algorithmic Framework for Model-based Deep Reinforcement Learning with Theoretical Guarantees
Yuping Luo, Huazhe Xu, +4
arXiv (Cornell University)
|
2018
|
101 citations
An Overview of Machine Teaching
Xiaojin Zhu, Adish Singla, +2
arXiv (Cornell University)
|
2018
|
101 citations
Backprop KF: Learning Discriminative Deterministic State Estimators
Tuomas Haarnoja, Anurag Ajay, +2
arXiv (Cornell University)
|
2016
|
101 citations
Blockchain Based Intelligent Vehicle Data sharing Framework
Madhusudan Singh, Shiho Kim
arXiv (Cornell University)
|
2017
|
101 citations
Code Design for Short Blocks: A Survey
Gianluigi Liva, Lorenzo Gaudio, +2
arXiv (Cornell University)
|
2016
|
101 citations
Deep Reinforcement Learning for Visual Object Tracking in Videos
Da Zhang, Hamid Reza Maei, +2
arXiv (Cornell University)
|
2017
|
101 citations
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