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‎bibliography/Wagner_2025.html‎

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<!DOCTYPE html>
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<meta charset="utf-8">
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<meta http-equiv="X-UA-Compatible" content="IE=edge">
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<link rel="icon" type="image/png"
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href="/images/favicon-32x32.png" sizes="32x32">
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<title>[Re] When Does Label Smoothing Help?</title>
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<meta name="description" content="Reproducible Science is good.<br/> Replicated Science is better.">
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<link rel="stylesheet" href="/css/main.css">
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<link rel="canonical" href="http://rescience.github.io/bibliography/Wagner_2025.html">
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<link rel="alternate" type="application/rss+xml" title="ReScience C" href="http://rescience.github.io/feed.xml" />
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<script language="JavaScript" type="text/javascript">
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function toggleDiv(element){
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<header class="site-header">
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<div class="wrapper">
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<a href="http://rescience.github.io">ReScience C</a>
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</a>
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<div class="trigger">
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<a class="page-link" href="/read/">READ</a><a class="page-link" href="/write/">WRITE</a><a class="page-link" href="/edit/">EDIT</a><a class="page-link" href="/board/">BOARD</a><a class="page-link" href="/faq/">FAQ</a><a class="page-link" href="/news/">NEWS</a>
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<head></head>
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<h3><span id="Wagner:2025"><span style="font-variant: small-caps">Wagner, S.D., Kurowski, Y.P., Holländer, L.M., and Uelwer, T.</span> 2025. [Re] When Does Label Smoothing Help? <i>ReScience C</i> <i>10</i>, 1, #1.</span></h3>
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<table>
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<tr>
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<td><b>Article (PDF):</b></td>
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<td><a href="https://zenodo.org/records/14953654/files/article.pdf">https://zenodo.org/records/14953654/files/article.pdf</a></td>
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</tr>
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<tr>
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<td><b>Title:</b></td>
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<td>[Re] When Does Label Smoothing Help?</td>
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</tr>
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<tr>
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<td><b>Author(s):</b></td>
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<td>Wagner, Sven Dominik and Kurowski, Yann Philipp and Holländer, Leonhard Moritz and Uelwer, Tobias</td>
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</tr>
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<td><b>Journal:</b></td>
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<td>ReScience C</td>
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<td><b>Year:</b></td>
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<td>2025</td>
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<td><b>Month:</b></td>
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<td>feb</td>
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<td><b>Volume:</b></td>
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<td>10</td>
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<td><b>Issue:</b></td>
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<td>1</td>
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<td><b>Number:</b></td>
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<td>#1</td>
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</tr>
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<td><b>DOI:</b></td>
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<td><a href="http://dx.doi.org/10.5281/zenodo.14953654">10.5281/zenodo.14953654</a></td>
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</tr>
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<td><b>Code URL:</b></td>
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<td><a href="https://github.com/sdwagner/re-labelsmoothing/">https://github.com/sdwagner/re-labelsmoothing/</a></td>
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<td><b>Code DOI:</b></td>
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<td>-</td>
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<td><b>Data URL:</b></td>
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<td><a href="https://drive.google.com/drive/folders/1PCtHG5sWDRy_rK5fsqFdmA46oZwMVxuB?usp=sharing">https://drive.google.com/drive/folders/1PCtHG5sWDRy_rK5fsqFdmA46oZwMVxuB?usp=sharing</a></td>
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<td><b>Data DOI:</b></td>
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<td>-</td>
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<td><b>Review URL:</b></td>
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<td><a href="https://github.com/ReScience/submissions/issues/75">https://github.com/ReScience/submissions/issues/75</a></td>
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</tr>
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<td><b>Cite as:</b></td>
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<td><span id="Wagner:2025"><span style="font-variant: small-caps">Wagner, S.D., Kurowski, Y.P., Holländer, L.M., and Uelwer, T.</span> 2025. [Re] When Does Label Smoothing Help? <i>ReScience C</i> <i>10</i>, 1, #1.</span></td>
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<div class="footer-col footer-col-1">
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<ul class="social-media-list">
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<li><a href="http://github.com/rescience/rescience.github.io">Website sources</a></li>
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</ul>
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</div>
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<div class="footer-col footer-col-2">
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<ul class="social-media-list">
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<li><a href="http://rescience.github.io">ReScience C</a></li>
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<div class="footer-col footer-col-3">
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<ul class="social-media-list">
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<li>ISSN 2430-3658</li>
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‎board/index.html‎

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<p><a href="https://github.com/MollyZhang">Molly Zhang</a><br />
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Machine Learning, Natural Language Processing, Cancer Genomics - Python, Java<br />
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ORCID: [0000-0002-2398-8854](https://orcid.org/0000-0002-2398-8854</p>
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ORCID: <a href="https://orcid.org/0000-0002-2398-8854">0000-0002-2398-8854</a></p>
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</li>
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<li>
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<p><a href="https://github.com/apraga">Alexis Praga</a><br />
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High Performance Computing, Germline genomics, Applied Mathematics - Julia, Python, Fortran, Haskell, Nix, C++<br />
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ORCID: <a href="https://orcid.org/0000-0002-4540-8371">0000-0002-4540-8371</a></p>
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</li>
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<li>
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<p><a href="https://github.com/LukasRoeseler">Lukas Röseler</a><br />
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Psychology, Judgment and Decision Making - R<br />
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ORCID: <a href="https://orcid.org/0000-0002-6446-1901">0000-0002-6446-1901</a></p>
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</li>
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<li>
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<p><a href="https://github.com/muhammedhunaid">Muhammed Hunaid Topiwala</a><br />
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Computational Neuroscience, Machine Learning, Bayesian Statistics - Python, C++<br />
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ORCID: <a href="https://orcid.org/0009-0002-6542-0711">0009-0002-6542-0711</a></p>
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</li>
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<li>
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<p><a href="https://github.com/yaideltg">Yaidel Toledo-González</a><br />
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Computational Chemistry - Python, Fortran<br />
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ORCID: <a href="https://orcid.org/0000-0001-7349-8143">0000-0001-7349-8143</a></p>
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</li>
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<li>
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<p><a href="https://github.com/remi-garcia">Rémi Garcia</a><br />
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Optimization, Computer Arithmetic, Hardware Design - Julia, VHDL, Python<br />
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ORCID: <a href="https://orcid.org/0000-0001-6704-759X">0000-0001-6704-759X</a></p>
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</li>
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<li>
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<p><a href="https://github.com/dinesh-rt">Dinesh Rathinasamy Thangavel</a><br />
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HPC, Systems Software, Operating Systems - C/C++/Python/Rust<br />
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ORCID: <a href="https://orcid.org/0009-0005-9296-1275">0009-0005-9296-1275</a></p>
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</li>
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<li>
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<p><a href="https://github.com/RomainBes">Romain Besseau</a><br />
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Energy, Environment, Life-Cycle Analysis - Python<br />
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ORCID: <a href="https://orcid.org/0009-0001-7352-5102">0009-0001-7352-5102</a></p>
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</li>
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<li>
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<p><a href="https://github.com/alchemi5t">Varun Menon</a><br />
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Scientific expertise - Deep Learning, Computer Vision, Natural Language Processing - Python<br />
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ORCID: <a href="https://orcid.org/0000-0002-4580-9183">0000-0002-4580-9183</a></p>
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</li>
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<li>
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<p><a href="https://github.com/jinensetpal/">Jinen Setpal</a><br />
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Interpretability - Optimization Theory - Python<br />
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ORCID: <a href="https://orcid.org/0000-0002-8959-0451">0000-0002-8959-0451</a></p>
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</li>
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‎feed.xml‎

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<description>Reproducible Science is good.&lt;br/&gt; Replicated Science is better.</description>
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<link>http://rescience.github.io/</link>
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