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   	<dc:title>No learning rates needed: Introducing SALSA - Stable Armijo Line Search Adaptation</dc:title>
   	<dc:creator>Kenneweg, Philip</dc:creator>
   	<dc:creator>Kenneweg, Tristan</dc:creator>
   	<dc:creator>Fumagalli, Fabian</dc:creator>
   	<dc:creator>Hammer, Barbara</dc:creator>
   	<dc:subject>Training</dc:subject>
   	<dc:subject>Schedules</dc:subject>
   	<dc:subject>Codes</dc:subject>
   	<dc:subject>Search methods</dc:subject>
   	<dc:subject>Source coding</dc:subject>
   	<dc:subject>Computer architecture</dc:subject>
   	<dc:subject>Transformers</dc:subject>
   	<dc:date>2024</dc:date>
   	<dc:type>info:eu-repo/semantics/conferenceObject</dc:type>
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   	<dc:type>text</dc:type>
   	<dc:type>http://purl.org/coar/resource_type/c_5794</dc:type>
   	<dc:identifier>https://ris.uni-paderborn.de/record/58224</dc:identifier>
   	<dc:source>Kenneweg P, Kenneweg T, Fumagalli F, Hammer B. No learning rates needed: Introducing SALSA - Stable Armijo Line Search Adaptation. In: &lt;i&gt;2024 International Joint Conference on Neural Networks (IJCNN)&lt;/i&gt;. ; 2024:1-8. doi:&lt;a href=&quot;https://doi.org/10.1109/IJCNN60899.2024.10650124&quot;&gt;10.1109/IJCNN60899.2024.10650124&lt;/a&gt;</dc:source>
   	<dc:language>eng</dc:language>
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