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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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Declarative Probabilistic Programming with Datalog
Vikash K. Mansinghka, Daniel Selsam, +1
arXiv (Cornell University)
|
2014
|
180 citations
Generalizing Case Frames Using a Thesaurus and the MDL Principle
Hang Li, Naoki Abe
ArXiv.org
|
1995
|
180 citations
iCAN: Instance-Centric Attention Network for Human-Object Interaction Detection
Chen Gao, Yuliang Zou, +1
arXiv (Cornell University)
|
2018
|
180 citations
Learning a Recurrent Visual Representation for Image Caption Generation
Xinlei Chen, C. Lawrence Zitnick
arXiv (Cornell University)
|
2014
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180 citations
Learning in Implicit Generative Models
Shakir Mohamed, Balaji Lakshminarayanan
arXiv (Cornell University)
|
2016
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180 citations
Learning to Generate Long-term Future via Hierarchical Prediction
Ruben Villegas, Shuicheng Yan, +4
arXiv (Cornell University)
|
2017
|
180 citations
Meta-Reinforcement Learning of Structured Exploration Strategies
Abhishek Gupta, Russell Mendonca, +3
arXiv (Cornell University)
|
2018
|
180 citations
Modeling Missing Data in Clinical Time Series with RNNs
Zachary C. Lipton, David C. Kale, +1
arXiv (Cornell University)
|
2016
|
180 citations
MuChoMusic dataset
Weck, Benno, Timo I. Denk, +4
arXiv (Cornell University)
|
2023
|
180 citations
Ordering-Based Search: A Simple and Effective Algorithm for Learning Bayesian Networks
Marc Teyssier, Daphne Koller
arXiv (Cornell University)
|
2012
|
180 citations
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