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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
Tracking Sentiment in Mail: How Genders Differ on Emotional Axes
Saif M. Mohammad, T.Y. Yang 외 1명
arXiv (Cornell University)
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2013
|
172 회 인용
Unsupervised Feature Learning via Non-Parametric Instance-level Discrimination
Zhirong Wu, Yuanjun Xiong 외 2명
arXiv (Cornell University)
|
2018
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172 회 인용
A Spectral Algorithm for Latent Dirichlet Allocation
Animashree Anandkumar, Dean P. Foster 외 3명
arXiv (Cornell University)
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2012
|
171 회 인용
Antisocial Behavior in Online Discussion Communities
Justin Cheng, Cristian Danescu-Niculescu-Mizil 외 1명
arXiv (Cornell University)
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2015
|
171 회 인용
Bitcoin Transaction Graph Analysis
Michael Fleder, Michael S. Kester 외 1명
arXiv (Cornell University)
|
2015
|
171 회 인용
DD-PPO: Learning Near-Perfect PointGoal Navigators from 2.5 Billion Frames
Erik Wijmans, Abhishek Kadian 외 6명
arXiv (Cornell University)
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2019
|
171 회 인용
Efficient Character-level Document Classification by Combining Convolution and Recurrent Layers
Yijun Xiao, Kyunghyun Cho
arXiv (Cornell University)
|
2016
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171 회 인용
Feature-Weighted Linear Stacking
Joseph Sill, G. Takács 외 2명
ArXiv.org
|
2009
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171 회 인용
Image Augmentation Is All You Need: Regularizing Deep Reinforcement Learning from Pixels
Ilya Kostrikov, Denis Yarats 외 1명
arXiv (Cornell University)
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2020
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171 회 인용
Is BERT Really Robust? Natural Language Attack on Text Classification and Entailment
Di Jin, Zhijing Jin 외 2명
arXiv (Cornell University)
|
2019
|
171 회 인용
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