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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
Next-Term Student Performance Prediction: A Recommender Systems Approach
Mack Sweeney, Huzefa Rangwala 외 2명
arXiv (Cornell University)
|
2016
|
105 회 인용
Parallel training of Deep Neural Networks with Natural Gradient and Parameter Averaging
Daniel Povey, Xiaohui Zhang 외 1명
arXiv (Cornell University)
|
2014
|
105 회 인용
Privacy Amplification by Subsampling: Tight Analyses via Couplings and Divergences
Borja Balle, Gilles Barthe 외 1명
arXiv (Cornell University)
|
2018
|
105 회 인용
Proposal-free Network for Instance-level Object Segmentation
Xiaodan Liang, Yunchao Wei 외 4명
arXiv (Cornell University)
|
2015
|
105 회 인용
Randomized Prior Functions for Deep Reinforcement Learning
Ian Osband, John Aslanides 외 1명
arXiv (Cornell University)
|
2018
|
105 회 인용
Recurrent Environment Simulators
Silvia Chiappa, Sébastien Racanière 외 2명
arXiv (Cornell University)
|
2017
|
105 회 인용
Representation Degeneration Problem in Training Natural Language Generation Models
Jun Gao, Di He 외 4명
arXiv (Cornell University)
|
2019
|
105 회 인용
Reversible quantum cellular automata
Benjamin Schumacher, Reinhard F. Werner
ArXiv.org
|
2004
|
105 회 인용
Robust Topological Inference: Distance To a Measure and Kernel Distance
Frédéric Chazal, Brittany Terese Fasy 외 4명
arXiv (Cornell University)
|
2014
|
105 회 인용
ROUGE 2.0: Updated and Improved Measures for Evaluation of Summarization Tasks
Kavita Ganesan
arXiv (Cornell University)
|
2018
|
105 회 인용
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