An Approach to Finding a Robust Deep Learning Model

An Approach to Finding a Robust Deep Learning Model

The rapid development of machine learning (ML) and artificial intelligence (AI) applications requires the training of a large numbers of models. This growing demand highlights the importance of training models without human supervision, while ensuring that their predictions are reliable. In response...

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Bibliographic Details
Main Authors: Alexey Boldyrev, Fedor Ratnikov, Andrey Shevelev
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Machine learning
deep learning
convolutional neural networks
model selection
model robustness
inductive bias
Online Access:https://ieeexplore.ieee.org/document/11030460/
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