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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
Introducing Variable Importance Tradeoffs into CP-Nets
Ronen I. Brafman, Carmel Domshlak
arXiv (Cornell University)
|
2012
|
111 회 인용
Large Language Models for Software Engineering: A Systematic Literature Review
Xinyi Hou, Yanjie Zhao 외 8명
arXiv (Cornell University)
|
2023
|
111 회 인용
Learning to Ask: Neural Question Generation for Reading Comprehension
Xinya Du, Junru Shao 외 1명
arXiv (Cornell University)
|
2017
|
111 회 인용
Listen, Attend, and Walk: Neural Mapping of Navigational Instructions to Action Sequences
Hongyuan Mei, Mohit Bansal 외 1명
arXiv (Cornell University)
|
2015
|
111 회 인용
Locally Scale-Invariant Convolutional Neural Networks
Angjoo Kanazawa, Abhishek Sharma 외 1명
arXiv (Cornell University)
|
2014
|
111 회 인용
MelNet: A Generative Model for Audio in the Frequency Domain
Sean Vasquez, Mike Lewis
arXiv (Cornell University)
|
2019
|
111 회 인용
Neural Reflectance Fields for Appearance Acquisition
Sai Bi, Zexiang Xu 외 7명
arXiv (Cornell University)
|
2020
|
111 회 인용
Non-convex Finite-Sum Optimization Via SCSG Methods
Lihua Lei, Cheng Ju 외 2명
arXiv (Cornell University)
|
2017
|
111 회 인용
On the Theory of Policy Gradient Methods: Optimality, Approximation, and Distribution Shift
Alekh Agarwal, Sham M. Kakade 외 2명
arXiv (Cornell University)
|
2019
|
111 회 인용
On Variance Reduction in Stochastic Gradient Descent and its Asynchronous Variants
Sashank J. Reddi, Ahmed Hefny 외 3명
arXiv (Cornell University)
|
2015
|
111 회 인용
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