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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
Scale-Invariant Convolutional Neural Networks
Yichong Xu, Tianjun Xiao 외 3명
arXiv (Cornell University)
|
2014
|
105 회 인용
Shape and Time Distortion Loss for Training Deep Time Series Forecasting Models
Vincent Le Guen, Nicolas Thome
arXiv (Cornell University)
|
2019
|
105 회 인용
Shoulder Surfing attack in graphical password authentication
Arash Habibi Lashkari, Samaneh Farmand 외 2명
ArXiv.org
|
2009
|
105 회 인용
Swapout: Learning an ensemble of deep architectures
Saurabh Singh, Derek Hoiem 외 1명
arXiv (Cornell University)
|
2016
|
105 회 인용
TAGME: on-the-fly annotation of short text fragments (by Wikipedia entities)
Paolo Ferragina, Ugo Scaiella
arXiv (Cornell University)
|
2010
|
105 회 인용
Target-Dependent Sentiment Classification with Long Short Term Memory.
Duyu Tang, Bing Qin 외 2명
arXiv (Cornell University)
|
2015
|
105 회 인용
Techniques for Feature Extraction In Speech Recognition System : A Comparative Study
Urmila Shrawankar, V. M. Thakare
arXiv (Cornell University)
|
2013
|
105 회 인용
The De-democratization of AI: Deep Learning and the Compute Divide in Artificial Intelligence Research
Nur Ahmed, Muntasir Wahed
arXiv (Cornell University)
|
2020
|
105 회 인용
The Randomized Dependence Coefficient
David López-Paz, Philipp Hennig 외 1명
arXiv (Cornell University)
|
2013
|
105 회 인용
Towards Better UD Parsing: Deep Contextualized Word Embeddings, Ensemble, and Treebank Concatenation
Wanxiang Che, Yijia Liu 외 3명
arXiv (Cornell University)
|
2018
|
105 회 인용
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