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Scaling ResNets in the Large-depth Regime

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Published in:JMLR
Format: Online Article RSS Article
Published: 2026
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container_title JMLR
description
discipline_display Engineering & Technology
discipline_facet Engineering & Technology
format Online Article
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genre Journal Article
id rss_article:4108
institution FRELIP
journal_source_facet JMLR
publishDate 2026
publishDateSort 2026
record_format rss_article
spellingShingle Scaling ResNets in the Large-depth Regime
Artificial Intelligence & Machine Learning
Computer Science & IT
Engineering & Technology
sub_discipline_display Computer Science & IT
sub_discipline_facet Computer Science & IT
subject_display Artificial Intelligence & Machine Learning
Computer Science & IT
Engineering & Technology
Artificial Intelligence & Machine Learning
Computer Science & IT
Engineering & Technology
subject_facet Artificial Intelligence & Machine Learning
Computer Science & IT
Engineering & Technology
title Scaling ResNets in the Large-depth Regime
title_auth Scaling ResNets in the Large-depth Regime
title_full Scaling ResNets in the Large-depth Regime
title_fullStr Scaling ResNets in the Large-depth Regime
title_full_unstemmed Scaling ResNets in the Large-depth Regime
title_short Scaling ResNets in the Large-depth Regime
title_sort scaling resnets in the large-depth regime
topic Artificial Intelligence & Machine Learning
Computer Science & IT
Engineering & Technology
url http://jmlr.org/papers/v26/22-0664.html