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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
Learning Longer-term Dependencies in RNNs with Auxiliary Losses
Trieu H. Trinh, Andrew M. Dai 외 2명
arXiv (Cornell University)
|
2018
|
87 회 인용
Learning Multiple Tasks with Deep Relationship Networks
Mingsheng Long, Jianmin Wang 외 1명
arXiv (Cornell University)
|
2015
|
87 회 인용
Learning to Pivot with Adversarial Networks
Gilles Louppe, M. Kagan 외 1명
arXiv (Cornell University)
|
2016
|
87 회 인용
Learning values across many orders of magnitude
Hado van Hasselt, Arthur Guez 외 3명
arXiv (Cornell University)
|
2016
|
87 회 인용
Low precision arithmetic for deep learning
Matthieu Courbariaux, Yoshua Bengio 외 1명
arXiv (Cornell University)
|
2014
|
87 회 인용
Measuring the Algorithmic Efficiency of Neural Networks
Danny Hernandez, T. B. Brown
arXiv (Cornell University)
|
2020
|
87 회 인용
Monocular Depth Estimation: A Survey
Amlaan Bhoi
arXiv (Cornell University)
|
2019
|
87 회 인용
Morphing Attack Detection -- Database, Evaluation Platform and Benchmarking
Kiran Raja, Matteo Ferrara 외 19명
arXiv (Cornell University)
|
2020
|
87 회 인용
Number-conserving cellular automaton rules
Nino Boccara, Henryk Fukś
arXiv (Cornell University)
|
1999
|
87 회 인용
On distinguishability criteria for estimating generative models
Ian Goodfellow
arXiv (Cornell University)
|
2014
|
87 회 인용
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