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Exploring the Function Space of Deep-Learning Machines

Exploring the Function Space of Deep-Learning Machines

4 August 2017
Yue Liu
D. Saad
    PINN
ArXivPDFHTML

Papers citing "Exploring the Function Space of Deep-Learning Machines"

5 / 5 papers shown
Title
Dynamics of Meta-learning Representation in the Teacher-student Scenario
Dynamics of Meta-learning Representation in the Teacher-student Scenario
Hui Wang
Cho Tung Yip
Bo Li
90
0
0
22 Aug 2024
Universal Statistics of Fisher Information in Deep Neural Networks: Mean
  Field Approach
Universal Statistics of Fisher Information in Deep Neural Networks: Mean Field Approach
Ryo Karakida
S. Akaho
S. Amari
FedML
139
145
0
04 Jun 2018
Understanding deep learning requires rethinking generalization
Understanding deep learning requires rethinking generalization
Chiyuan Zhang
Samy Bengio
Moritz Hardt
Benjamin Recht
Oriol Vinyals
HAI
339
4,626
0
10 Nov 2016
Entropy-SGD: Biasing Gradient Descent Into Wide Valleys
Entropy-SGD: Biasing Gradient Descent Into Wide Valleys
Pratik Chaudhari
A. Choromańska
Stefano Soatto
Yann LeCun
Carlo Baldassi
C. Borgs
J. Chayes
Levent Sagun
R. Zecchina
ODL
96
773
0
06 Nov 2016
Understanding Neural Networks Through Deep Visualization
Understanding Neural Networks Through Deep Visualization
J. Yosinski
Jeff Clune
Anh Totti Nguyen
Thomas J. Fuchs
Hod Lipson
FAtt
AI4CE
122
1,872
0
22 Jun 2015
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