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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
Unsupervised Learning of Depth and Ego-Motion from Video
Tinghui Zhou, Matthew Brown 외 2명
arXiv (Cornell University)
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2017
|
222 회 인용
Very Deep Convolutional Networks for Natural Language Processing.
Alexis Conneau, Holger Schwenk 외 2명
arXiv (Cornell University)
|
2016
|
222 회 인용
Adversarial Learning for Neural Dialogue Generation
Jiwei Li, Will Monroe 외 4명
arXiv (Cornell University)
|
2017
|
221 회 인용
Adversarial Transformation Networks: Learning to Generate Adversarial Examples
Shumeet Baluja, Ian Fischer
arXiv (Cornell University)
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2017
|
221 회 인용
An empirical study on evaluation metrics of generative adversarial networks
Qiantong Xu, Gao Huang 외 5명
arXiv (Cornell University)
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2018
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221 회 인용
Automatic tagging using deep convolutional neural networks
Keunwoo Choi, George Fazekas 외 1명
arXiv (Cornell University)
|
2016
|
221 회 인용
Client Selection in Federated Learning: Convergence Analysis and Power-of-Choice Selection Strategies
Yae Jee Cho, Jianyu Wang 외 1명
arXiv (Cornell University)
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2020
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221 회 인용
Edward: A library for probabilistic modeling, inference, and criticism
Dustin Tran, Alp Kucukelbir 외 4명
arXiv (Cornell University)
|
2016
|
221 회 인용
Neural Collaborative Filtering
Xiangnan He, Lizi Liao 외 4명
arXiv (Cornell University)
|
2017
|
221 회 인용
Neural Paraphrase Generation with Stacked Residual LSTM Networks
Aaditya Prakash, Sadid A. Hasan 외 5명
arXiv (Cornell University)
|
2016
|
221 회 인용
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