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Almost Sure Convergence of Dropout Algorithms for Neural Networks
v1v2 (latest)

Almost Sure Convergence of Dropout Algorithms for Neural Networks

6 February 2020
Albert Senen-Cerda
J. Sanders
ArXiv (abs)PDFHTML

Papers citing "Almost Sure Convergence of Dropout Algorithms for Neural Networks"

5 / 5 papers shown
Singular-limit analysis of gradient descent with noise injection
Singular-limit analysis of gradient descent with noise injection
Anna Shalova
André Schlichting
M. Peletier
279
6
0
18 Apr 2024
Implicit regularization of dropout
Implicit regularization of dropoutIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022
Zhongwang Zhang
Zhi-Qin John Xu
374
57
0
13 Jul 2022
Masked Training of Neural Networks with Partial Gradients
Masked Training of Neural Networks with Partial Gradients
Amirkeivan Mohtashami
Martin Jaggi
Sebastian U. Stich
413
28
0
16 Jun 2021
Asymptotic convergence rate of Dropout on shallow linear neural networks
Asymptotic convergence rate of Dropout on shallow linear neural networksMeasurement and Modeling of Computer Systems (SIGMETRICS), 2020
Albert Senen-Cerda
J. Sanders
303
9
0
01 Dec 2020
On Convergence and Generalization of Dropout Training
On Convergence and Generalization of Dropout TrainingNeural Information Processing Systems (NeurIPS), 2020
Poorya Mianjy
R. Arora
298
33
0
23 Oct 2020
1
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