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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
Stabilizing Training of Generative Adversarial Networks through Regularization
Kevin A. Roth, Aurélien Lucchi 외 2명
arXiv (Cornell University)
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2017
|
204 회 인용
Unlabeled Samples Generated by GAN Improve the Person Re-identification Baseline in vitro
Zhedong Zheng, Liang Zheng 외 1명
arXiv (Cornell University)
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2017
|
204 회 인용
Whitening Sentence Representations for Better Semantics and Faster Retrieval
Jianlin Su, Jiarun Cao 외 2명
arXiv (Cornell University)
|
2021
|
204 회 인용
Additive Gaussian Processes
David Duvenaud, Hannes Nickisch 외 1명
arXiv (Cornell University)
|
2011
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203 회 인용
BoTorch: A Framework for Efficient Monte-Carlo Bayesian Optimization
Maximilian Balandat, Brian Karrer 외 5명
arXiv (Cornell University)
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2019
|
203 회 인용
Carbontracker: Tracking and Predicting the Carbon Footprint of Training Deep Learning Models
Lasse F. Wolff Anthony, Benjamin Kanding 외 1명
arXiv (Cornell University)
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2020
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203 회 인용
Ex Machina: Personal Attacks Seen at Scale
Ellery Wulczyn, Nithum Thain 외 1명
arXiv (Cornell University)
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2016
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203 회 인용
Many-body quantum state tomography with neural networks
Giacomo Torlai, Guglielmo Mazzola 외 4명
arXiv (Cornell University)
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2017
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203 회 인용
Residual Non-local Attention Networks for Image Restoration
Yulun Zhang, Kunpeng Li 외 3명
arXiv (Cornell University)
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2019
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203 회 인용
Ups and Downs: Modeling the Visual Evolution of Fashion Trends with One-Class Collaborative Filtering
Ruining He, Julian McAuley
arXiv (Cornell University)
|
2016
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203 회 인용
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