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Learning Curves for Analysis of Deep Networks

Learning Curves for Analysis of Deep Networks

21 October 2020
Derek Hoiem
Tanmay Gupta
Zhizhong Li
Michal Shlapentokh-Rothman
ArXivPDFHTML

Papers citing "Learning Curves for Analysis of Deep Networks"

12 / 12 papers shown
Title
Strategies and impact of learning curve estimation for CNN-based image
  classification
Strategies and impact of learning curve estimation for CNN-based image classification
Laura Didyk
Brayden Yarish
Michael A. Beck
C. Bidinosti
Christopher J. Henry
22
0
0
12 Oct 2023
Multi-annotator Deep Learning: A Probabilistic Framework for
  Classification
Multi-annotator Deep Learning: A Probabilistic Framework for Classification
M. Herde
Denis Huseljic
Bernhard Sick
38
9
0
05 Apr 2023
A Meta-Learning Approach to Predicting Performance and Data Requirements
A Meta-Learning Approach to Predicting Performance and Data Requirements
Achin Jain
Gurumurthy Swaminathan
Paolo Favaro
Hao Yang
Avinash Ravichandran
...
Alessandro Achille
Onkar Dabeer
Bernt Schiele
A. Swaminathan
Stefano Soatto
37
8
0
02 Mar 2023
A Survey of Learning Curves with Bad Behavior: or How More Data Need Not
  Lead to Better Performance
A Survey of Learning Curves with Bad Behavior: or How More Data Need Not Lead to Better Performance
Marco Loog
T. Viering
28
1
0
25 Nov 2022
Optimizing Data Collection for Machine Learning
Optimizing Data Collection for Machine Learning
Rafid Mahmood
James Lucas
J. Álvarez
Sanja Fidler
M. Law
96
26
0
03 Oct 2022
Impact of dataset size and long-term ECoG-based BCI usage on deep
  learning decoders performance
Impact of dataset size and long-term ECoG-based BCI usage on deep learning decoders performance
Maciej Śliwowski
Matthieu Martin
Antoine Souloumiac
P. Blanchart
T. Aksenova
29
6
0
08 Sep 2022
Simple Control Baselines for Evaluating Transfer Learning
Simple Control Baselines for Evaluating Transfer Learning
Andrei Atanov
Shijian Xu
Onur Beker
Andrei Filatov
Amir Zamir
SSL
37
1
0
07 Feb 2022
Data Scaling Laws in NMT: The Effect of Noise and Architecture
Data Scaling Laws in NMT: The Effect of Noise and Architecture
Yamini Bansal
Behrooz Ghorbani
Ankush Garg
Biao Zhang
M. Krikun
Colin Cherry
Behnam Neyshabur
Orhan Firat
42
47
0
04 Feb 2022
The Shape of Learning Curves: a Review
The Shape of Learning Curves: a Review
T. Viering
Marco Loog
20
124
0
19 Mar 2021
Learning Curve Theory
Learning Curve Theory
Marcus Hutter
146
59
0
08 Feb 2021
Scaling Laws for Neural Language Models
Scaling Laws for Neural Language Models
Jared Kaplan
Sam McCandlish
T. Henighan
Tom B. Brown
B. Chess
R. Child
Scott Gray
Alec Radford
Jeff Wu
Dario Amodei
264
4,532
0
23 Jan 2020
Aggregated Residual Transformations for Deep Neural Networks
Aggregated Residual Transformations for Deep Neural Networks
Saining Xie
Ross B. Girshick
Piotr Dollár
Zhuowen Tu
Kaiming He
309
10,233
0
16 Nov 2016
1