Learning Curves for Analysis of Deep Networks

21 October 2020

Papers citing "Learning Curves for Analysis of Deep Networks"

9 / 9 papers shown

Title
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 M. Herde Denis Huseljic Bernhard Sick 28 9 0 05 Apr 2023
A Meta-Learning Approach to Predicting Performance and Data Requirements Achin Jain Gurumurthy Swaminathan Paolo Favaro Hao Yang Avinash Ravichandran ... Alessandro Achille O. 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 Marco Loog T. Viering 26 1 0 25 Nov 2022
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 26 6 0 08 Sep 2022
The Shape of Learning Curves: a Review T. Viering Marco Loog 18 122 0 19 Mar 2021
Learning Curve Theory Marcus Hutter 140 58 0 08 Feb 2021
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 258 4,489 0 23 Jan 2020
Aggregated Residual Transformations for Deep Neural Networks Saining Xie Ross B. Girshick Piotr Dollár Z. Tu Kaiming He 297 10,220 0 16 Nov 2016