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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Fast Benchmarking of Accuracy vs. Training Time with Cyclic Learning Rates · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2206.00832/</link><description>Collected HN comments and submissions linking this paper.</description><language>en</language><lastBuildDate>Mon, 02 Nov 2026 11:16:22 GMT</lastBuildDate><atom:link href="https://hackerpaper.kaipfister.de/p/2206.00832/feed.xml" rel="self" type="application/rss+xml" /><item><title>Fast Benchmarking of Accuracy vs. Training Time with Cyclic Learning Rates — mentioned by JieJie</title><link>https://news.ycombinator.com/item?id=39954722</link><guid isPermaLink="false">urn:hackerpapers:mention:2206.00832:39954722</guid><pubDate>Sat, 06 Apr 2024 19:22:29 GMT</pubDate><description>&lt;p&gt;From the Related Work section (best guess): Stochastic Weight Averaging (Izmailov et al 2018) https://arxiv.org/abs/1803.05407 Latest Weight Averaging (Kaddour 2022) https://arxiv.org/abs/2209.14981 Latest Weight Averaging? (Sanyal et al 2023) https://arxiv.org/abs/2311.16294 Cyclic Learning Rates (Portes et al 2022) https://arxiv.org/abs/2206.00832 Exponential Moving Average? (Zhanghan? et al 2019) https://arxiv.org/abs/1909.01804&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2206.00832/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.LG</category></item></channel></rss>
