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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
Synthesizing Tabular Data using Generative Adversarial Networks
Lei Xu, Kalyan Veeramachaneni
arXiv (Cornell University)
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2018
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219 회 인용
Towards End-to-End Prosody Transfer for Expressive Speech Synthesis with Tacotron
RJ Skerry-Ryan, Eric Battenberg 외 7명
arXiv (Cornell University)
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2018
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219 회 인용
Batch Bayesian Optimization via Local Penalization
Javier González, Zhenwen Dai 외 2명
arXiv (Cornell University)
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2015
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218 회 인용
CAT2000: A Large Scale Fixation Dataset for Boosting Saliency Research
Ali Borji, Laurent Itti
arXiv (Cornell University)
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2015
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218 회 인용
Deep Transfer Learning for Person Re-identification
Mengyue Geng, Yaowei Wang 외 2명
arXiv (Cornell University)
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2016
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218 회 인용
Ditto: Fair and Robust Federated Learning Through Personalization
Tian Li, Shengyuan Hu 외 2명
arXiv (Cornell University)
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2020
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218 회 인용
Dynamic Resource Allocation in Cognitive Radio Networks: A Convex Optimization Perspective
Rui Zhang, Ying‐Chang Liang 외 1명
arXiv (Cornell University)
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2010
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218 회 인용
Empirical Bernstein Bounds and Sample Variance Penalization
Andreas Maurer, Massimiliano Pontil
ArXiv.org
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2009
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218 회 인용
Explanation in Human-AI Systems: A Literature Meta-Review, Synopsis of Key Ideas and Publications, and Bibliography for Explainable AI
Shane T. Mueller, Robert R. Hoffman 외 3명
arXiv (Cornell University)
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2019
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218 회 인용
MagNet: a Two-Pronged Defense against Adversarial Examples
Dongyu Meng, Hao Chen
arXiv (Cornell University)
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2017
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218 회 인용
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