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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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Integrating Document Clustering and Topic Modeling
Pengtao Xie, Eric P. Xing
arXiv (Cornell University)
|
2013
|
97 citations
Introduction to Quantum Gate Set Tomography
Daniel Greenbaum
arXiv (Cornell University)
|
2015
|
97 citations
Invariant Representations without Adversarial Training
Daniel Moyer, Shuyang Gao, +3
arXiv (Cornell University)
|
2018
|
97 citations
Julia: A Fresh Approach to Numerical Computing
Jeff Bezanson, Alan Edelman, +2
arXiv (Cornell University)
|
2014
|
97 citations
Learning Invariant Representations for Reinforcement Learning without Reconstruction
Amy Zhang, Rowan McAllister, +3
arXiv (Cornell University)
|
2020
|
97 citations
MAP Complexity Results and Approximation Methods
James D. Park
arXiv (Cornell University)
|
2012
|
97 citations
MeanSum: A Neural Model for Unsupervised Multi-document Abstractive Summarization
Eric Chu, Peter J. Liu
arXiv (Cornell University)
|
2018
|
97 citations
PipeDream: Fast and Efficient Pipeline Parallel DNN Training
Aaron Harlap, Deepak Narayanan, +5
arXiv (Cornell University)
|
2018
|
97 citations
Poisson Process Partition Calculus with applications to Exchangeable models and Bayesian Nonparametrics
Lancelot F. James
ArXiv.org
|
2002
|
97 citations
Programmatically Interpretable Reinforcement Learning
Abhinav Verma, Vijayaraghavan Murali, +3
arXiv (Cornell University)
|
2018
|
97 citations
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