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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
Representation Learning with Contrastive Predictive Coding
Aäron van den Oord, Yazhe Li 외 1명
arXiv (Cornell University)
|
2018
|
4,505 회 인용
GANs Trained by a Two Time-Scale Update Rule Converge to a Local Nash Equilibrium
Martin Heusel, Hubert Ramsauer 외 3명
arXiv (Cornell University)
|
2017
|
4,490 회 인용
UCF-101: A dataset of 101 human actions classes from videos in the wild
Khurram Soomro, Amir Zamir 외 1명
arXiv (Cornell University)
|
2012
|
4,437 회 인용
Evaluation: from precision, recall and F-measure to ROC, informedness, markedness and correlation
David Powers
arXiv (Cornell University)
|
2020
|
4,427 회 인용
BPR: Bayesian Personalized Ranking from Implicit Feedback
Steffen Rendle, Christoph Freudenthaler 외 2명
arXiv (Cornell University)
|
2012
|
4,347 회 인용
An Empirical Evaluation of Generic Convolutional and Recurrent Networks for Sequence Modeling
Shaojie Bai, J. Zico Kolter 외 1명
arXiv (Cornell University)
|
2018
|
4,314 회 인용
Caffe: Convolutional Architecture for Fast Feature Embedding
Yangqing Jia, Evan Shelhamer 외 6명
arXiv (Cornell University)
|
2014
|
4,292 회 인용
Training language models to follow instructions with human feedback
Long Ouyang, Jeff Wu 외 18명
arXiv (Cornell University)
|
2022
|
4,260 회 인용
BNAI, NO-TOKEN, and MIND-UNITY: Pillars of a Systemic Revolution in Artificial Intelligence
Jason Lee, Xuezhi Wang
arXiv (Cornell University)
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2022
|
4,210 회 인용
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Yarin Gal, Zoubin Ghahramani
arXiv (Cornell University)
|
2015
|
4,095 회 인용
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