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Global Convergence of Deep Networks with One Wide Layer Followed by
  Pyramidal Topology
v1v2v3 (latest)

Global Convergence of Deep Networks with One Wide Layer Followed by Pyramidal Topology

18 February 2020
Quynh N. Nguyen
Marco Mondelli
    ODLAI4CE
ArXiv (abs)PDFHTML

Papers citing "Global Convergence of Deep Networks with One Wide Layer Followed by Pyramidal Topology"

4 / 54 papers shown
Title
Proactive DP: A Multple Target Optimization Framework for DP-SGD
Proactive DP: A Multple Target Optimization Framework for DP-SGD
Marten van Dijk
Nhuong V. Nguyen
Toan N. Nguyen
Lam M. Nguyen
Phuong Ha Nguyen
92
0
0
17 Feb 2021
On the Proof of Global Convergence of Gradient Descent for Deep ReLU
  Networks with Linear Widths
On the Proof of Global Convergence of Gradient Descent for Deep ReLU Networks with Linear Widths
Quynh N. Nguyen
141
49
0
24 Jan 2021
Stable Recovery of Entangled Weights: Towards Robust Identification of
  Deep Neural Networks from Minimal Samples
Stable Recovery of Entangled Weights: Towards Robust Identification of Deep Neural Networks from Minimal Samples
Christian Fiedler
M. Fornasier
T. Klock
Michael Rauchensteiner
OOD
73
13
0
18 Jan 2021
Tight Bounds on the Smallest Eigenvalue of the Neural Tangent Kernel for
  Deep ReLU Networks
Tight Bounds on the Smallest Eigenvalue of the Neural Tangent Kernel for Deep ReLU Networks
Quynh N. Nguyen
Marco Mondelli
Guido Montúfar
224
86
0
21 Dec 2020
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