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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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On Smoothing and Inference for Topic Models
Arthur Asuncion, Max Welling, +2
arXiv (Cornell University)
|
2012
|
452 citations
Using Machine Learning for Vulnerability Detection and Classification
Uri Alon, Shaked Brody, +1
arXiv (Cornell University)
|
2018
|
452 citations
Federated Optimization in Heterogeneous Networks
Li Tian, Anit Kumar Sahu, +4
arXiv (Cornell University)
|
2018
|
451 citations
Visualizing and Understanding Convolutional Neural Networks
Matthew D. Zeiler, Rob Fergus
arXiv (Cornell University)
|
2013
|
451 citations
Hyper-Parameter Optimization: A Review of Algorithms and Applications
Tong Yu, Hong Zhu
arXiv (Cornell University)
|
2020
|
450 citations
Applied Federated Learning: Improving Google Keyboard Query Suggestions
Timothy T. Yang, Galen Andrew, +6
arXiv (Cornell University)
|
2018
|
449 citations
Non-Autoregressive Neural Machine Translation
Jiatao Gu, James Bradbury, +3
arXiv (Cornell University)
|
2017
|
449 citations
Class Imbalance Problem in Data Mining Review
Rushi Longadge, Snehalata Dongre
arXiv (Cornell University)
|
2013
|
448 citations
GradNorm: Gradient Normalization for Adaptive Loss Balancing in Deep Multitask Networks
Zhao Chen, Vijay Badrinarayanan, +2
arXiv (Cornell University)
|
2017
|
448 citations
Visualizing and Understanding Convolutional Networks
Matthew D. Zeiler, Rob Fergus
arXiv (Cornell University)
|
2013
|
448 citations
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