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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
Batch Renormalization: Towards Reducing Minibatch Dependence in Batch-Normalized Models
Sergey Ioffe
arXiv (Cornell University)
|
2017
|
244 회 인용
Creating superpositions that correspond to efficiently integrable probability distributions
Lov K. Grover, Terry Rudolph
ArXiv.org
|
2002
|
244 회 인용
Depthwise Separable Convolutions for Neural Machine Translation
Łukasz Kaiser, Aidan N. Gomez 외 1명
arXiv (Cornell University)
|
2017
|
244 회 인용
DetNet: A Backbone network for Object Detection
Zeming Li, Chao Peng 외 4명
arXiv (Cornell University)
|
2018
|
244 회 인용
Fuzzy Cognitive Maps and Neutrosophic Cognitive Maps
W. B. Vasantha Kandasamy, Florentín Smarandache
ArXiv.org
|
2003
|
244 회 인용
HDNET: Exploiting HD Maps for 3D Object Detection
Bin Yang, Ming Liang 외 1명
arXiv (Cornell University)
|
2020
|
244 회 인용
On the Identifiability of the Post-Nonlinear Causal Model
Kun Zhang, Aapo Hyvärinen
arXiv (Cornell University)
|
2012
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244 회 인용
Principal Neighbourhood Aggregation for Graph Nets
Gabriele Corso, Luca Cavalleri 외 3명
arXiv (Cornell University)
|
2020
|
244 회 인용
Speaker-Follower Models for Vision-and-Language Navigation
Daniel Fried, Ronghang Hu 외 8명
arXiv (Cornell University)
|
2018
|
244 회 인용
A Reliable Effective Terascale Linear Learning System
Alekh Agarwal, Olivier Chapelle 외 2명
arXiv (Cornell University)
|
2011
|
243 회 인용
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