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