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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
Session-based Recommendations with Recurrent Neural Networks
Balázs Hidasi, Alexandros Karatzoglou 외 2명
arXiv (Cornell University)
|
2015
|
557 회 인용
Three scenarios for continual learning
Gido M. van de Ven, Andreas S. Tolias
Lirias (KU Leuven)
|
2019
|
556 회 인용
A Simple Way to Initialize Recurrent Networks of Rectified Linear Units
Quoc V. Le, Navdeep Jaitly 외 1명
arXiv (Cornell University)
|
2015
|
554 회 인용
Deep Neuroevolution: Genetic Algorithms Are a Competitive Alternative for Training Deep Neural Networks for Reinforcement Learning
Felipe Petroski Such, Vashisht Madhavan 외 4명
arXiv (Cornell University)
|
2017
|
554 회 인용
Proceedings of the Eleventh Conference on Uncertainty in Artificial Intelligence (1995)
Philippe Besnard, Steve Hanks
arXiv (Cornell University)
|
2013
|
554 회 인용
Context-Specific Independence in Bayesian Networks
Craig Boutilier, Nir Friedman 외 2명
arXiv (Cornell University)
|
2013
|
553 회 인용
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding
Alex Wang, Amanpreet Singh 외 4명
arXiv (Cornell University)
|
2018
|
553 회 인용
Multi-Task Feature Learning Via Efficient l2,1-Norm Minimization
Jun Liu, Shuiwang Ji 외 1명
arXiv (Cornell University)
|
2012
|
553 회 인용
The Marginal Value of Adaptive Gradient Methods in Machine Learning
Ashia Wilson, Rebecca Roelofs 외 3명
arXiv (Cornell University)
|
2017
|
552 회 인용
Deep Biaffine Attention for Neural Dependency Parsing
Timothy Dozat, Christopher D. Manning
arXiv (Cornell University)
|
2016
|
551 회 인용
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