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