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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
DGT-TM: A freely Available Translation Memory in 22 Languages
Ralf Steinberger, Andreas Eisele 외 3명
arXiv (Cornell University)
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2013
|
91 회 인용
Dissociating language and thought in large language models
Kyle Mahowald, Anna A. Ivanova 외 4명
arXiv (Cornell University)
|
2023
|
91 회 인용
Distributed GraphLab: A Framework for Machine Learning in the Cloud
Yucheng Low, Joseph E. Gonzalez 외 4명
arXiv (Cornell University)
|
2012
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91 회 인용
Do Wide and Deep Networks Learn the Same Things? Uncovering How Neural Network Representations Vary with Width and Depth
Thao Nguyen, Maithra Raghu 외 1명
arXiv (Cornell University)
|
2021
|
91 회 인용
Domain Adaptation by Using Causal Inference to Predict Invariant Conditional Distributions
Sara Magliacane, Thijs van Ommen 외 4명
arXiv (Cornell University)
|
2017
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91 회 인용
Efficient Minimization of Decomposable Submodular Functions
Peter Stobbe, Andreas Krause
arXiv (Cornell University)
|
2010
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91 회 인용
Fashion-Gen: The Generative Fashion Dataset and Challenge
Negar Rostamzadeh, Seyedarian Hosseini 외 5명
ArXiv.org
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2018
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91 회 인용
From Captions to Visual Concepts and Back
Hao Fang, Saurabh Gupta 외 10명
arXiv (Cornell University)
|
2014
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91 회 인용
Generating Conditional Probabilities for Bayesian Networks: Easing the Knowledge Acquisition Problem
Balaram Das
ArXiv.org
|
2004
|
91 회 인용
Human as Real-Time Sensors of Social and Physical Events: A Case Study of Twitter and Sports Games
Siqi Zhao, Lin Zhong 외 2명
arXiv (Cornell University)
|
2011
|
91 회 인용
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