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필터
9999+개의 결과
On Smoothing and Inference for Topic Models
Arthur Asuncion, Max Welling 외 2명
arXiv (Cornell University)
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2012
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452 회 인용
Using Machine Learning for Vulnerability Detection and Classification
Uri Alon, Shaked Brody 외 1명
arXiv (Cornell University)
|
2018
|
452 회 인용
Federated Optimization in Heterogeneous Networks
Li Tian, Anit Kumar Sahu 외 4명
arXiv (Cornell University)
|
2018
|
451 회 인용
Visualizing and Understanding Convolutional Neural Networks
Matthew D. Zeiler, Rob Fergus
arXiv (Cornell University)
|
2013
|
451 회 인용
Hyper-Parameter Optimization: A Review of Algorithms and Applications
Tong Yu, Hong Zhu
arXiv (Cornell University)
|
2020
|
450 회 인용
Applied Federated Learning: Improving Google Keyboard Query Suggestions
Timothy T. Yang, Galen Andrew 외 6명
arXiv (Cornell University)
|
2018
|
449 회 인용
Non-Autoregressive Neural Machine Translation
Jiatao Gu, James Bradbury 외 3명
arXiv (Cornell University)
|
2017
|
449 회 인용
Class Imbalance Problem in Data Mining Review
Rushi Longadge, Snehalata Dongre
arXiv (Cornell University)
|
2013
|
448 회 인용
GradNorm: Gradient Normalization for Adaptive Loss Balancing in Deep Multitask Networks
Zhao Chen, Vijay Badrinarayanan 외 2명
arXiv (Cornell University)
|
2017
|
448 회 인용
Visualizing and Understanding Convolutional Networks
Matthew D. Zeiler, Rob Fergus
arXiv (Cornell University)
|
2013
|
448 회 인용
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