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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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HARP: Hierarchical Representation Learning for Networks
Haochen Chen, Bryan Perozzi, +2
arXiv (Cornell University)
|
2017
|
127 citations
Lagging Inference Networks and Posterior Collapse in Variational Autoencoders
Junxian He, Daniel Spokoyny, +2
arXiv (Cornell University)
|
2019
|
127 citations
Learning Deep CNN Denoiser Prior for Image Restoration
Kai Zhang, Wangmeng Zuo, +2
arXiv (Cornell University)
|
2017
|
127 citations
Learning General Purpose Distributed Sentence Representations via Large Scale Multi-task Learning
Sandeep Subramanian, Adam Trischler, +2
arXiv (Cornell University)
|
2018
|
127 citations
Learning Recurrent Span Representations for Extractive Question Answering
Kenton Lee, Shimi Salant, +4
arXiv (Cornell University)
|
2016
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127 citations
Masked-attention Mask Transformer for Universal Image Segmentation
Bowen Cheng, Ishan Misra, +3
arXiv (Cornell University)
|
2021
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127 citations
Neural-Symbolic Computing: An Effective Methodology for Principled Integration of Machine Learning and Reasoning
Artur d’Avila Garcez, Marco Gori, +4
arXiv (Cornell University)
|
2019
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127 citations
On Causal and Anticausal Learning
Bernhard Schoelkopf, Dominik Janzing, +4
arXiv (Cornell University)
|
2012
|
127 citations
Predicting Depth, Surface Normals and Semantic Labels with a Common Multi-Scale Convolutional Architecture
David Eigen, Rob Fergus
arXiv (Cornell University)
|
2014
|
127 citations
Probabilistic Similarity Logic
Matthias Bröcheler, Lilyana Mihalkova, +1
arXiv (Cornell University)
|
2012
|
127 citations
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