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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
PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space
Charles R. Qi, Yi Li 외 2명
arXiv (Cornell University)
|
2017
|
7,051 회 인용
Improving neural networks by preventing co-adaptation of feature detectors
Geoffrey E. Hinton, Nitish Srivastava 외 3명
arXiv (Cornell University)
|
2012
|
6,639 회 인용
Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms
Xiao Han, Kashif Rasul 외 1명
arXiv (Cornell University)
|
2017
|
6,056 회 인용
SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and <0.5MB model size
Forrest Iandola, Song Han 외 4명
arXiv (Cornell University)
|
2016
|
5,918 회 인용
YOLOv3: An Incremental Improvement
Joseph Redmon, Ali Farhadi
arXiv (Cornell University)
|
2018
|
5,881 회 인용
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn, Pieter Abbeel 외 1명
arXiv (Cornell University)
|
2017
|
5,758 회 인용
Intriguing properties of neural networks
Christian Szegedy, Wojciech Zaremba 외 5명
arXiv (Cornell University)
|
2013
|
5,706 회 인용
Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation
Yonghui Wu, Mike Schuster 외 29명
arXiv (Cornell University)
|
2016
|
5,643 회 인용
Practical Bayesian Optimization of Machine Learning Algorithms
Jasper Snoek, Hugo Larochelle 외 1명
arXiv (Cornell University)
|
2012
|
5,635 회 인용
Communication-Efficient Learning of Deep Networks from Decentralized Data
H. Brendan McMahan, Eider Moore 외 3명
arXiv (Cornell University)
|
2016
|
5,595 회 인용
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