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Generalization in multitask deep neural classifiers: a statistical
  physics approach

Generalization in multitask deep neural classifiers: a statistical physics approach

30 October 2019
Tyler Lee
A. Ndirango
    AI4CE
ArXivPDFHTML

Papers citing "Generalization in multitask deep neural classifiers: a statistical physics approach"

4 / 4 papers shown
Title
Disentangling and Mitigating the Impact of Task Similarity for Continual
  Learning
Disentangling and Mitigating the Impact of Task Similarity for Continual Learning
Naoki Hiratani
CLL
35
2
0
30 May 2024
Multi-Task Learning with Deep Neural Networks: A Survey
Multi-Task Learning with Deep Neural Networks: A Survey
M. Crawshaw
CVBM
27
608
0
10 Sep 2020
Machine learning for complete intersection Calabi-Yau manifolds: a
  methodological study
Machine learning for complete intersection Calabi-Yau manifolds: a methodological study
Harold Erbin
Riccardo Finotello
18
31
0
30 Jul 2020
A Close Look at Deep Learning with Small Data
A Close Look at Deep Learning with Small Data
Lorenzo Brigato
Luca Iocchi
19
139
0
28 Mar 2020
1