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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
TabTransformer: Tabular Data Modeling Using Contextual Embeddings
Xin Huang, Ashish Khetan 외 2명
arXiv (Cornell University)
|
2020
|
174 회 인용
Unmasking DeepFakes with simple Features
Ricard Durall, Margret Keuper 외 2명
arXiv (Cornell University)
|
2019
|
174 회 인용
Web Mining Research: A Survey
Raymond Kosala, Hendrik Blockeel
ArXiv.org
|
2000
|
174 회 인용
Winner-Take-All Autoencoders
Alireza Makhzani, Brendan J. Frey
arXiv (Cornell University)
|
2014
|
174 회 인용
A Survey of Predictive Modelling under Imbalanced Distributions
Paula Branco, Luı́s Torgo 외 1명
arXiv (Cornell University)
|
2015
|
173 회 인용
Adversarial Active Learning for Deep Networks: a Margin Based Approach
Mélanie Ducoffe, Fŕed́eric Precioso
arXiv (Cornell University)
|
2018
|
173 회 인용
Assessing Generative Models via Precision and Recall
Mehdi S. M. Sajjadi, Olivier Bachem 외 3명
arXiv (Cornell University)
|
2018
|
173 회 인용
cleverhans v0.1: an adversarial machine learning library.
Ian Goodfellow, Nicolas Papernot 외 1명
arXiv (Cornell University)
|
2016
|
173 회 인용
Data Noising as Smoothing in Neural Network Language Models
Ziang Xie, Sida I. Wang 외 5명
arXiv (Cornell University)
|
2017
|
173 회 인용
Deep Ordinal Regression Network for Monocular Depth Estimation
Huan Fu, Mingming Gong 외 3명
arXiv (Cornell University)
|
2018
|
173 회 인용
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