ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1902.02434
  4. Cited By
A Scale Invariant Flatness Measure for Deep Network Minima

A Scale Invariant Flatness Measure for Deep Network Minima

6 February 2019
Akshay Rangamani
Nam H. Nguyen
Abhishek Kumar
Dzung Phan
Sang H. Chin
T. Tran
    ODL
ArXivPDFHTML

Papers citing "A Scale Invariant Flatness Measure for Deep Network Minima"

17 / 17 papers shown
Title
Identifying Generalization Properties in Neural Networks
Identifying Generalization Properties in Neural Networks
Huan Wang
N. Keskar
Caiming Xiong
R. Socher
38
49
0
19 Sep 2018
Norm matters: efficient and accurate normalization schemes in deep
  networks
Norm matters: efficient and accurate normalization schemes in deep networks
Elad Hoffer
Ron Banner
Itay Golan
Daniel Soudry
OffRL
56
179
0
05 Mar 2018
Sensitivity and Generalization in Neural Networks: an Empirical Study
Sensitivity and Generalization in Neural Networks: an Empirical Study
Roman Novak
Yasaman Bahri
Daniel A. Abolafia
Jeffrey Pennington
Jascha Narain Sohl-Dickstein
AAML
93
437
0
23 Feb 2018
Visualizing the Loss Landscape of Neural Nets
Visualizing the Loss Landscape of Neural Nets
Hao Li
Zheng Xu
Gavin Taylor
Christoph Studer
Tom Goldstein
236
1,873
0
28 Dec 2017
Projection Based Weight Normalization for Deep Neural Networks
Projection Based Weight Normalization for Deep Neural Networks
Lei Huang
Xianglong Liu
B. Lang
Yue Liu
49
18
0
06 Oct 2017
Riemannian approach to batch normalization
Riemannian approach to batch normalization
Minhyung Cho
Jaehyung Lee
53
94
0
27 Sep 2017
A PAC-Bayesian Approach to Spectrally-Normalized Margin Bounds for
  Neural Networks
A PAC-Bayesian Approach to Spectrally-Normalized Margin Bounds for Neural Networks
Behnam Neyshabur
Srinadh Bhojanapalli
Nathan Srebro
75
604
0
29 Jul 2017
Computing Nonvacuous Generalization Bounds for Deep (Stochastic) Neural
  Networks with Many More Parameters than Training Data
Computing Nonvacuous Generalization Bounds for Deep (Stochastic) Neural Networks with Many More Parameters than Training Data
Gintare Karolina Dziugaite
Daniel M. Roy
93
808
0
31 Mar 2017
Sharp Minima Can Generalize For Deep Nets
Sharp Minima Can Generalize For Deep Nets
Laurent Dinh
Razvan Pascanu
Samy Bengio
Yoshua Bengio
ODL
108
766
0
15 Mar 2017
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
92
769
0
06 Nov 2016
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
384
2,922
0
15 Sep 2016
Weight Normalization: A Simple Reparameterization to Accelerate Training
  of Deep Neural Networks
Weight Normalization: A Simple Reparameterization to Accelerate Training of Deep Neural Networks
Tim Salimans
Diederik P. Kingma
ODL
158
1,933
0
25 Feb 2016
Path-SGD: Path-Normalized Optimization in Deep Neural Networks
Path-SGD: Path-Normalized Optimization in Deep Neural Networks
Behnam Neyshabur
Ruslan Salakhutdinov
Nathan Srebro
ODL
73
305
0
08 Jun 2015
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal
  Networks
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
Shaoqing Ren
Kaiming He
Ross B. Girshick
Jian Sun
AIMat
ObjD
432
61,900
0
04 Jun 2015
On Using Very Large Target Vocabulary for Neural Machine Translation
On Using Very Large Target Vocabulary for Neural Machine Translation
Sébastien Jean
Kyunghyun Cho
Roland Memisevic
Yoshua Bengio
132
1,010
0
05 Dec 2014
Sequence to Sequence Learning with Neural Networks
Sequence to Sequence Learning with Neural Networks
Ilya Sutskever
Oriol Vinyals
Quoc V. Le
AIMat
326
20,491
0
10 Sep 2014
Very Deep Convolutional Networks for Large-Scale Image Recognition
Very Deep Convolutional Networks for Large-Scale Image Recognition
Karen Simonyan
Andrew Zisserman
FAtt
MDE
1.2K
99,991
0
04 Sep 2014
1