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Noisy Recurrent Neural Networks

Noisy Recurrent Neural Networks

9 February 2021
S. H. Lim
N. Benjamin Erichson
Liam Hodgkinson
Michael W. Mahoney
ArXivPDFHTML

Papers citing "Noisy Recurrent Neural Networks"

12 / 12 papers shown
Title
Robust Asymmetric Heterogeneous Federated Learning with Corrupted Clients
Xiuwen Fang
Mang Ye
Bo Du
FedML
66
1
0
12 Mar 2025
Stabilizing Machine Learning Prediction of Dynamics: Noise and
  Noise-inspired Regularization
Stabilizing Machine Learning Prediction of Dynamics: Noise and Noise-inspired Regularization
Alexander Wikner
Joseph Harvey
M. Girvan
Brian R. Hunt
Andrew Pomerance
Thomas Antonsen
Edward Ott
21
6
0
09 Nov 2022
Benefits of Additive Noise in Composing Classes with Bounded Capacity
Benefits of Additive Noise in Composing Classes with Bounded Capacity
A. F. Pour
H. Ashtiani
19
3
0
14 Jun 2022
Learning continuous models for continuous physics
Learning continuous models for continuous physics
Aditi S. Krishnapriyan
A. Queiruga
N. Benjamin Erichson
Michael W. Mahoney
AI4CE
21
33
0
17 Feb 2022
Social Neuro AI: Social Interaction as the "dark matter" of AI
Social Neuro AI: Social Interaction as the "dark matter" of AI
Samuele Bolotta
G. Dumas
21
22
0
31 Dec 2021
Stateful ODE-Nets using Basis Function Expansions
Stateful ODE-Nets using Basis Function Expansions
A. Queiruga
N. Benjamin Erichson
Liam Hodgkinson
Michael W. Mahoney
27
16
0
21 Jun 2021
Dropout: Explicit Forms and Capacity Control
Dropout: Explicit Forms and Capacity Control
R. Arora
Peter L. Bartlett
Poorya Mianjy
Nathan Srebro
61
37
0
06 Mar 2020
Symplectic Recurrent Neural Networks
Symplectic Recurrent Neural Networks
Zhengdao Chen
Jianyu Zhang
Martín Arjovsky
Léon Bottou
146
219
0
29 Sep 2019
Disentangling Adversarial Robustness and Generalization
Disentangling Adversarial Robustness and Generalization
David Stutz
Matthias Hein
Bernt Schiele
AAML
OOD
186
272
0
03 Dec 2018
Implicit Self-Regularization in Deep Neural Networks: Evidence from
  Random Matrix Theory and Implications for Learning
Implicit Self-Regularization in Deep Neural Networks: Evidence from Random Matrix Theory and Implications for Learning
Charles H. Martin
Michael W. Mahoney
AI4CE
30
190
0
02 Oct 2018
Noisin: Unbiased Regularization for Recurrent Neural Networks
Noisin: Unbiased Regularization for Recurrent Neural Networks
Adji Bousso Dieng
Rajesh Ranganath
Jaan Altosaar
David M. Blei
17
22
0
03 May 2018
On Large-Batch Training for Deep Learning: Generalization Gap and Sharp
  Minima
On Large-Batch Training for Deep Learning: Generalization Gap and Sharp Minima
N. Keskar
Dheevatsa Mudigere
J. Nocedal
M. Smelyanskiy
P. T. P. Tang
ODL
281
2,888
0
15 Sep 2016
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