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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
A Survey on Metric Learning for Feature Vectors and Structured Data
Aurélien Bellet, Amaury Habrard 외 1명
arXiv (Cornell University)
|
2013
|
531 회 인용
AtomNet: A Deep Convolutional Neural Network for Bioactivity Prediction in Structure-based Drug Discovery
Izhar Wallach, Michael Dzamba 외 1명
arXiv (Cornell University)
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2015
|
529 회 인용
An evaluation of Naive Bayesian anti-spam filtering
Ion Androutsopoulos, John Koutsias 외 3명
arXiv (Cornell University)
|
2000
|
527 회 인용
Transition-Based Dependency Parsing with Stack Long Short-Term Memory
Chris Dyer, Miguel Ballesteros 외 3명
Repositori digital de la UPF (Universitat Pompeu Fabra)
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2015
|
526 회 인용
GAIN: Missing Data Imputation using Generative Adversarial Nets
Jinsung Yoon, James Jordon 외 1명
arXiv (Cornell University)
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2018
|
525 회 인용
Statistical topological data analysis using persistence landscapes
Peter Bubenik
arXiv (Cornell University)
|
2012
|
524 회 인용
Evidential Deep Learning to Quantify Classification Uncertainty
Murat Şensoy, Lance Kaplan 외 1명
arXiv (Cornell University)
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2018
|
523 회 인용
NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis
Ben Mildenhall, Pratul P. Srinivasan 외 4명
arXiv (Cornell University)
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2020
|
523 회 인용
Horovod: fast and easy distributed deep learning in TensorFlow
Alexander Sergeev, Mike Del Balso
arXiv (Cornell University)
|
2018
|
522 회 인용
Learning to Segment Object Candidates
Pedro O. Pinheiro, Ronan Collobert 외 1명
arXiv (Cornell University)
|
2015
|
522 회 인용
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