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On Warm-Starting Neural Network Training

On Warm-Starting Neural Network Training

18 October 2019
Jordan T. Ash
Ryan P. Adams
    AI4CE
ArXivPDFHTML

Papers citing "On Warm-Starting Neural Network Training"

5 / 5 papers shown
Title
Gaussian Switch Sampling: A Second Order Approach to Active Learning
Gaussian Switch Sampling: A Second Order Approach to Active Learning
Ryan Benkert
Mohit Prabhushankar
Ghassan Al-Regib
Armin Pacharmi
E. Corona
AAML
26
9
0
16 Feb 2023
Forgetful Active Learning with Switch Events: Efficient Sampling for
  Out-of-Distribution Data
Forgetful Active Learning with Switch Events: Efficient Sampling for Out-of-Distribution Data
Ryan Benkert
Mohit Prabhushankar
Ghassan AlRegib
OODD
OOD
23
9
0
12 Jan 2023
Diminishing Uncertainty within the Training Pool: Active Learning for
  Medical Image Segmentation
Diminishing Uncertainty within the Training Pool: Active Learning for Medical Image Segmentation
V. Nath
Dong Yang
Bennett A. Landman
Daguang Xu
H. Roth
35
68
0
07 Jan 2021
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn
Pieter Abbeel
Sergey Levine
OOD
371
11,700
0
09 Mar 2017
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
308
2,890
0
15 Sep 2016
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