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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
Cloud Forensics: A Meta-Study of Challenges, Approaches, and Open Problems
Shams Zawoad, Ragib Hasan
arXiv (Cornell University)
|
2013
|
106 회 인용
Comparison of different Methods for Univariate Time Series Imputation in R
Steffen Möritz, Alexis Sardá 외 3명
arXiv (Cornell University)
|
2015
|
106 회 인용
Deep Convolutional Networks as shallow Gaussian Processes
Adrià Garriga-Alonso, Carl Edward Rasmussen 외 1명
arXiv (Cornell University)
|
2018
|
106 회 인용
Does Distributionally Robust Supervised Learning Give Robust Classifiers?
Weihua Hu, Gang Niu 외 2명
arXiv (Cornell University)
|
2016
|
106 회 인용
Entailment as Few-Shot Learner
Sinong Wang, Fang Han 외 3명
arXiv (Cornell University)
|
2021
|
106 회 인용
Equivariance Through Parameter-Sharing
Siamak Ravanbakhsh, Jeff Schneider 외 1명
arXiv (Cornell University)
|
2017
|
106 회 인용
Exploiting Diversity in Natural Language Processing: Combining Parsers
John C. Henderson, Eric Brill
ArXiv.org
|
2000
|
106 회 인용
FACMAC: Factored Multi-Agent Centralised Policy Gradients
Bei Peng, Tabish Rashid 외 5명
arXiv (Cornell University)
|
2020
|
106 회 인용
From Variational to Deterministic Autoencoders
Partha Ghosh, Mehdi S. M. Sajjadi 외 3명
arXiv (Cornell University)
|
2019
|
106 회 인용
Generating Diverse High-Fidelity Images with VQ-VAE-2
Ali Razavi, Aäron van den Oord 외 1명
arXiv (Cornell University)
|
2019
|
106 회 인용
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