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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
Extending the OpenAI Gym for robotics: a toolkit for reinforcement learning using ROS and Gazebo
Iker Zamora, Nestor Gonzalez Lopez 외 2명
arXiv (Cornell University)
|
2016
|
90 회 인용
Fisher-Rao Metric, Geometry, and Complexity of Neural Networks
Tengyuan Liang, Tomaso Poggio 외 2명
arXiv (Cornell University)
|
2017
|
90 회 인용
Fuzzy Logic and Probability
Petr Hájek, Lluı́s Godo 외 1명
arXiv (Cornell University)
|
2013
|
90 회 인용
Gaussian Process Behaviour in Wide Deep Neural Networks
Alexander Matthews, Mark Rowland 외 3명
arXiv (Cornell University)
|
2018
|
90 회 인용
GluonCV and GluonNLP: Deep Learning in Computer Vision and Natural Language Processing
Jian Guo, He He 외 14명
arXiv (Cornell University)
|
2019
|
90 회 인용
Horizon: Facebook's Open Source Applied Reinforcement Learning Platform
Jason Gauci, Edoardo Conti 외 8명
arXiv (Cornell University)
|
2018
|
90 회 인용
HydraPlus-Net: Attentive Deep Features for Pedestrian Analysis
Xihui Liu, Haiyu Zhao 외 6명
arXiv (Cornell University)
|
2017
|
90 회 인용
Implicit Bias of Gradient Descent for Wide Two-layer Neural Networks Trained with the Logistic Loss
Lénaïc Chizat, Francis Bach
arXiv (Cornell University)
|
2020
|
90 회 인용
Improving Deep Neural Networks with Probabilistic Maxout Units
Jost Tobias Springenberg, Martin Riedmiller
arXiv (Cornell University)
|
2013
|
90 회 인용
Introduction to Random Boolean Networks
Carlos Gershenson
arXiv (Cornell University)
|
2004
|
90 회 인용
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