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