Computer Science 논문 리뷰
Computer Science 분야 주요 연구 논문을 연구 동기·방법·결과로 구조화한 AI 논문 리뷰 목록입니다.
9999+개의 결과
Relational Bayesian Networks
Manfred Jaeger
arXiv (Cornell University)|2013|93 회 인용
Riemannian Adaptive Optimization Methods
Gary Bécigneul, Octavian-Eugen Ganea
arXiv (Cornell University)|2018|93 회 인용
Safe and Efficient Off-Policy Reinforcement Learning
Rémi Munos, Thomas Stepleton 외 2명
arXiv (Cornell University)|2016|93 회 인용
Score-CAM: Score-Weighted Visual Explanations for Convolutional Neural Networks
Haofan Wang, Zifan Wang 외 6명
arXiv (Cornell University)|2019|93 회 인용
Semi-Supervised Learning with Context-Conditional Generative Adversarial Networks
Emily Denton, Sam Gross 외 1명
arXiv (Cornell University)|2016|93 회 인용
SMILES2Vec: An Interpretable General-Purpose Deep Neural Network for Predicting Chemical Properties
Garrett B. Goh, Nathan O. Hodas 외 2명
arXiv (Cornell University)|2017|93 회 인용
SoftTriple Loss: Deep Metric Learning Without Triplet Sampling
Qi Qian, Lei Shang 외 4명
arXiv (Cornell University)|2019|93 회 인용
SPOOK: A System for Probabilistic Object-Oriented Knowledge Representation
Avi Pfeffer, Daphne Koller 외 2명
arXiv (Cornell University)|2013|93 회 인용
Structured Generative Models of Natural Source Code
Chris J. Maddison, Daniel Tarlow
arXiv (Cornell University)|2014|93 회 인용
Uncertainty-based Continual Learning with Adaptive Regularization
Hongjoon Ahn, Sungmin Cha 외 2명
arXiv (Cornell University)|2019|93 회 인용