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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
Bayesian SegNet: Model Uncertainty in Deep Convolutional Encoder-Decoder Architectures for Scene Understanding
Alex Kendall, Vijay Badrinarayanan 외 1명
arXiv (Cornell University)
|
2015
|
302 회 인용
Fast Training of Convolutional Networks through FFTs
Michaël Mathieu, Mikael Henaff 외 1명
arXiv (Cornell University)
|
2013
|
302 회 인용
Training deep neural networks with low precision multiplications
Matthieu Courbariaux, Yoshua Bengio 외 1명
PolyPublie (École Polytechnique de Montréal)
|
2014
|
302 회 인용
TUDataset: A collection of benchmark datasets for learning with graphs
Morris, Christopher, Kriege, Nils M. 외 4명
arXiv (Cornell University)
|
2020
|
302 회 인용
Video (language) modeling: a baseline for generative models of natural videos
Marc’Aurelio Ranzato, Arthur Szlam 외 4명
arXiv (Cornell University)
|
2014
|
302 회 인용
YouTube-VOS: A Large-Scale Video Object Segmentation Benchmark
Ning Xu, Linjie Yang 외 5명
arXiv (Cornell University)
|
2018
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302 회 인용
Highway Networks
Rupesh K. Srivastava, Klaus Greff 외 1명
arXiv (Cornell University)
|
2015
|
301 회 인용
Intriguing Properties of Vision Transformers
Muzammal Naseer, Kanchana Ranasinghe 외 4명
arXiv (Cornell University)
|
2021
|
301 회 인용
SMILES Enumeration as Data Augmentation for Neural Network Modeling of Molecules
Esben Jannik Bjerrum
arXiv (Cornell University)
|
2017
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301 회 인용
A Transformational Characterization of Equivalent Bayesian Network Structures
David Maxwell Chickering
arXiv (Cornell University)
|
2013
|
300 회 인용
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