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