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