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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
A Long Short-Term Memory Recurrent Neural Network Framework for Network Traffic Matrix Prediction
Abdelhadi Azzouni, Guy Pujolle
arXiv (Cornell University)
|
2017
|
160 회 인용
A Theory of Generative ConvNet
Jianwen Xie, Yang Lu 외 2명
arXiv (Cornell University)
|
2016
|
160 회 인용
Algorithms, Initializations, and Convergence for the Nonnegative Matrix Factorization
Amy N. Langville, Carl D. Meyer 외 3명
arXiv (Cornell University)
|
2014
|
160 회 인용
Asynchronous Stochastic Gradient Descent with Delay Compensation
Shuxin Zheng, Qi Meng 외 5명
arXiv (Cornell University)
|
2016
|
160 회 인용
Benchmarking Batch Deep Reinforcement Learning Algorithms
Scott Fujimoto, Edoardo Conti 외 2명
arXiv (Cornell University)
|
2019
|
160 회 인용
Bias and Debias in Recommender System: A Survey and Future Directions
Jiawei Chen, Hande Dong 외 4명
arXiv (Cornell University)
|
2020
|
160 회 인용
Coherent Keyphrase Extraction via Web Mining
Peter D. Turney
ArXiv.org
|
2003
|
160 회 인용
Exploiting Cyclic Symmetry in Convolutional Neural Networks
Sander Dieleman, Jeffrey De Fauw 외 1명
arXiv (Cornell University)
|
2016
|
160 회 인용
Exploring Nearest Neighbor Approaches for Image Captioning
Jacob Devlin, Saurabh Gupta 외 3명
arXiv (Cornell University)
|
2015
|
160 회 인용
Quantifying Superposition
Johan Åberg
ArXiv.org
|
2006
|
160 회 인용
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