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Computer Science 분야 주요 연구 논문을 연구 동기·방법·결과로 구조화한 AI 논문 리뷰 목록입니다.
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필터
9999+개의 결과
Do Deep Convolutional Nets Really Need to be Deep and Convolutional?
Gregor Urban, Krzysztof J. Geras 외 7명
PolyPublie (École Polytechnique de Montréal)
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2016
|
107 회 인용
Dropout Inference in Bayesian Neural Networks with Alpha-divergences
Yingzhen Li, Yarin Gal
arXiv (Cornell University)
|
2017
|
107 회 인용
Dyna-Style Planning with Linear Function Approximation and Prioritized Sweeping
Richard S. Sutton, Csaba Szepesvári 외 2명
arXiv (Cornell University)
|
2012
|
107 회 인용
Eccentric Connectivity Index of Chemical Trees
Aleksandar Ili ' c, İvan Gutman
arXiv (Cornell University)
|
2011
|
107 회 인용
Exploring the Limits of Out-of-Distribution Detection
Stanislav Fort, Jie Ren 외 1명
arXiv (Cornell University)
|
2021
|
107 회 인용
Flower: A Friendly Federated Learning Research Framework
Daniel J. Beutel, Taner Topal 외 9명
arXiv (Cornell University)
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2020
|
107 회 인용
Generating News Headlines with Recurrent Neural Networks
Konstantin Lopyrev
arXiv (Cornell University)
|
2015
|
107 회 인용
Incorporating Nuisance Parameters in Likelihoods for Multisource Spectra
J. S. Conway
arXiv (Cornell University)
|
2011
|
107 회 인용
Introduction to Arithmetic Coding -- Theory and Practice
Amir Said
arXiv (Cornell University)
|
2023
|
107 회 인용
Know-Evolve: Deep Temporal Reasoning for Dynamic Knowledge Graphs
Rakshit Trivedi, Hanjun Dai 외 2명
arXiv (Cornell University)
|
2017
|
107 회 인용
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