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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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Hierarchical Object Detection with Deep Reinforcement Learning
Míriam Bellver, Xavier Giró-i-Nieto, +2
arXiv (Cornell University)
|
2016
|
86 citations
How "Quantum" is the D-Wave Machine?
Seung Woo Shin, Graeme Smith, +2
arXiv (Cornell University)
|
2014
|
86 citations
How to Construct Polar Codes
Ido Tal, Alexander Vardy
arXiv (Cornell University)
|
2011
|
86 citations
How Transferable are Neural Networks in NLP Applications?
Lili Mou, Meng Zhao, +5
arXiv (Cornell University)
|
2016
|
86 citations
HyperNetworks
David Ha, Andrew Dai, +1
arXiv (Cornell University)
|
2016
|
86 citations
Joint Deep Modeling of Users and Items Using Reviews for Recommendation
Lei Zheng, Vahid Noroozi, +1
arXiv (Cornell University)
|
2017
|
86 citations
Joint Discriminative and Generative Learning for Person Re-identification
Zhedong Zheng, Xiaodong Yang, +4
arXiv (Cornell University)
|
2019
|
86 citations
Learning From Noisy Singly-labeled Data
Ashish Khetan, Zachary C. Lipton, +1
arXiv (Cornell University)
|
2017
|
86 citations
Learning Generative Models with Visual Attention
Yichuan Tang, Nitish Srivastava, +1
arXiv (Cornell University)
|
2013
|
86 citations
Lucid Data Dreaming for Object Tracking
Anna Khoreva, Rodrigo Benenson, +3
arXiv (Cornell University)
|
2017
|
86 citations
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