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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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An Empirical Study of Spatial Attention Mechanisms in Deep Networks
Xizhou Zhu, Dazhi Cheng, +3
arXiv (Cornell University)
|
2019
|
102 citations
Automatic summarising: factors and directions
Karen Spärck Jones
arXiv (Cornell University)
|
1998
|
102 citations
Belief Optimization for Binary Networks: A Stable Alternative to Loopy Belief Propagation
Max Welling, Yee Whye Teh
arXiv (Cornell University)
|
2013
|
102 citations
Beyond Sparsity: Tree Regularization of Deep Models for Interpretability
Mike Wu, Michael C. Hughes, +4
arXiv (Cornell University)
|
2017
|
102 citations
Calculating Shadows with U-Nets for Urban Environments (Short Paper)
Luciano da Fontoura Costa, Welscher, Franz, +6
arXiv (Cornell University)
|
2021
|
102 citations
Cascade R-CNN: High Quality Object Detection and Instance Segmentation
Zhaowei Cai, Nuno Vasconcelos
arXiv (Cornell University)
|
2019
|
102 citations
Circle Loss: A Unified Perspective of Pair Similarity Optimization
Yifan Sun, Changmao Cheng, +5
arXiv (Cornell University)
|
2020
|
102 citations
Collaborative Learning for Deep Neural Networks
Guocong Song, Wei Koong Chai
arXiv (Cornell University)
|
2018
|
102 citations
Compressed and distributed least-squares regression: convergence rates with applications to Federated Learning
Philippenko, Constantin, Aymeric Dieuleveut
arXiv (Cornell University)
|
2023
|
102 citations
Contrastive Adaptation Network for Unsupervised Domain Adaptation
Guoliang Kang, Lu Jiang, +2
arXiv (Cornell University)
|
2019
|
102 citations
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