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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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Dual Graph Convolutional Network for Semantic Segmentation
Li Zhang, Xiangtai Li, +4
arXiv (Cornell University)
|
2019
|
114 citations
FasterSeg: Searching for Faster Real-time Semantic Segmentation
Wuyang Chen, Xinyu Gong, +4
arXiv (Cornell University)
|
2019
|
114 citations
Federated Learning Based on Dynamic Regularization
Durmus Alp Emre Acar, Yue Zhao, +4
arXiv (Cornell University)
|
2021
|
114 citations
Federated Learning over Wireless Device-to-Device Networks: Algorithms and Convergence Analysis
Hong Xing, Osvaldo Simeone, +1
arXiv (Cornell University)
|
2021
|
114 citations
Full-Capacity Unitary Recurrent Neural Networks
Scott Wisdom, Thomas A. Powers, +3
arXiv (Cornell University)
|
2016
|
114 citations
Gated-SCNN: Gated Shape CNNs for Semantic Segmentation
Towaki Takikawa, David Acuna, +2
arXiv (Cornell University)
|
2019
|
114 citations
Learning Deep Structured Models
Liang-Chieh Chen, Alexander G. Schwing, +2
arXiv (Cornell University)
|
2014
|
114 citations
Making Deep Neural Networks Robust to Label Noise: a Loss Correction Approach
Giorgio Patrini, Alessandro Rozza, +3
arXiv (Cornell University)
|
2016
|
114 citations
Mixed Precision Training of Convolutional Neural Networks using Integer Operations
Dipankar Das, Naveen Mellempudi, +15
arXiv (Cornell University)
|
2018
|
114 citations
Mondrian Forests: Efficient Online Random Forests
Balaji Lakshminarayanan, Daniel M. Roy, +1
arXiv (Cornell University)
|
2014
|
114 citations
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