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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Overcoming data scarcity with transfer learning · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/1711.05099/</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/1711.05099/feed.xml" rel="self" type="application/rss+xml" /><item><title>Overcoming data scarcity with transfer learning — mentioned by tiacitrine</title><link>https://news.ycombinator.com/item?id=29405273</link><guid isPermaLink="false">urn:hackerpapers:mention:1711.05099:29405273</guid><pubDate>Wed, 01 Dec 2021 16:13:40 GMT</pubDate><description>&lt;p&gt;Citrine Informatics (citrine.io) |Hiring for: Principal Engineer and Director of Applied Science|Remote within USA and Canada|Full Time| Citrine Informatics is revolutionizing how raw materials and chemicals are produced by empowering companies to develop them faster and more sustainably. Working at Citrine offers the rare opportunity to collaborate with applied scientists at the leading edge of statistical learning theory and application. Here are a few representative peer-reviewed publications describing research done at Citrine in support of the platform’s AI capabilities: Assessing the…&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/1711.05099/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.LG</category></item><item><title>Overcoming data scarcity with transfer learning — mentioned by tiacitrine</title><link>https://news.ycombinator.com/item?id=29074759</link><guid isPermaLink="false">urn:hackerpapers:mention:1711.05099:29074759</guid><pubDate>Mon, 01 Nov 2021 23:29:44 GMT</pubDate><description>&lt;p&gt;Citrine Informatics (citrine.io) |Principal Engineer|Remote within USA and Canada|Full Time| Citrine Informatics is revolutionizing how raw materials and chemicals are produced by empowering companies to develop them faster and more sustainably. Working at Citrine offers the rare opportunity to collaborate with applied scientists at the leading edge of statistical learning theory and application. Here are a few representative peer-reviewed publications describing research done at Citrine in support of the platform’s AI capabilities: Assessing the Frontier: Active Learning, Model Accuracy, and…&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/1711.05099/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.LG</category></item><item><title>Overcoming data scarcity with transfer learning — mentioned by tiacitrine</title><link>https://news.ycombinator.com/item?id=26664131</link><guid isPermaLink="false">urn:hackerpapers:mention:1711.05099:26664131</guid><pubDate>Thu, 01 Apr 2021 18:16:48 GMT</pubDate><description>&lt;p&gt;Citrine Informatics (citrine.io) Sr. Backend/Frontend roles Remote within USA and Canada Full Time Citrine Informatics is revolutionizing how raw materials and chemicals are produced by empowering companies to develop them faster and more sustainably. Working at Citrine offers the rare opportunity to collaborate with applied scientists at the leading edge of statistical learning theory and application. Here are a few representative peer-reviewed publications describing research done at Citrine in support of the platform’s AI capabilities: Assessing the Frontier: Active Learning, Model…&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/1711.05099/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.LG</category></item><item><title>Overcoming data scarcity with transfer learning — mentioned by tiacitrine</title><link>https://news.ycombinator.com/item?id=26307963</link><guid isPermaLink="false">urn:hackerpapers:mention:1711.05099:26307963</guid><pubDate>Mon, 01 Mar 2021 20:29:34 GMT</pubDate><description>&lt;p&gt;Citrine Informatics (citrine.io) |Engineering Manager, Infrastructure, Sr. Backend/Frontend roles|Remote within USA and Canada|Full Time| Citrine Informatics is revolutionizing how raw materials and chemicals are produced by empowering companies to develop them faster and more sustainably. Working at Citrine offers the rare opportunity to collaborate with applied scientists at the leading edge of statistical learning theory and application. Here are a few representative peer-reviewed publications describing research done at Citrine in support of the platform’s AI capabilities: Assessing the…&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/1711.05099/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.LG</category></item><item><title>Overcoming data scarcity with transfer learning — mentioned by tiacitrine</title><link>https://news.ycombinator.com/item?id=26004177</link><guid isPermaLink="false">urn:hackerpapers:mention:1711.05099:26004177</guid><pubDate>Tue, 02 Feb 2021 17:52:09 GMT</pubDate><description>&lt;p&gt;Citrine Informatics (citrine.io) |Infrastructure/SRE, Sr. Backend/Frontend roles|Remote within USA and Canada|Full Time| Citrine Informatics is revolutionizing how raw materials and chemicals are produced by empowering companies to develop them faster and more sustainably. Working at Citrine offers the rare opportunity to collaborate with applied scientists at the leading edge of statistical learning theory and application. Here are a few representative peer-reviewed publications describing research done at Citrine in support of the platform’s AI capabilities: Assessing the Frontier: Active…&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/1711.05099/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.LG</category></item><item><title>Overcoming data scarcity with transfer learning — mentioned by tiacitrine</title><link>https://news.ycombinator.com/item?id=25634725</link><guid isPermaLink="false">urn:hackerpapers:mention:1711.05099:25634725</guid><pubDate>Mon, 04 Jan 2021 17:29:13 GMT</pubDate><description>&lt;p&gt;Citrine Informatics (citrine.io) |Engineering Manager, Infrastructure, Sr. Backend/Frontend roles|Remote within USA and Canada|Full Time| Citrine Informatics is revolutionizing how raw materials and chemicals are produced by empowering companies to develop them faster and more sustainably. Working at Citrine offers the rare opportunity to collaborate with applied scientists at the leading edge of statistical learning theory and application. Here are a few representative peer-reviewed publications describing research done at Citrine in support of the platform’s AI capabilities: Assessing the…&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/1711.05099/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.LG</category></item><item><title>Overcoming data scarcity with transfer learning — mentioned by tiacitrine</title><link>https://news.ycombinator.com/item?id=25267118</link><guid isPermaLink="false">urn:hackerpapers:mention:1711.05099:25267118</guid><pubDate>Tue, 01 Dec 2020 17:09:16 GMT</pubDate><description>&lt;p&gt;Citrine Informatics (citrine.io) |Engineering Manager, Infrastructure, Sr. Backend/Frontend roles |Remote within USA and Canada| Full Time| Citrine Informatics is revolutionizing how raw materials and chemicals are produced by empowering companies to develop them faster and more sustainably. Working at Citrine offers the rare opportunity to collaborate with applied scientists at the leading edge of statistical learning theory and application. Here are a few representative peer-reviewed publications describing research done at Citrine in support of the platform’s AI capabilities: Assessing the…&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/1711.05099/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.LG</category></item><item><title>Overcoming data scarcity with transfer learning — mentioned by tiacitrine</title><link>https://news.ycombinator.com/item?id=24999924</link><guid isPermaLink="false">urn:hackerpapers:mention:1711.05099:24999924</guid><pubDate>Thu, 05 Nov 2020 17:14:23 GMT</pubDate><description>&lt;p&gt;Citrine Informatics (citrine.io) | Engineering Manager, Infrastructure, Sr. Backend/Frontend roles |Remote within USA| Full Time| Citrine Informatics is revolutionizing how raw materials and chemicals are produced by empowering companies to develop them faster and more sustainably. Working at Citrine offers the rare opportunity to collaborate with applied scientists at the leading edge of statistical learning theory and application. Here are a few representative peer-reviewed publications describing research done at Citrine in support of the platform’s AI capabilities: Assessing the Frontier…&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/1711.05099/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.LG</category></item><item><title>Overcoming data scarcity with transfer learning — mentioned by tiacitrine</title><link>https://news.ycombinator.com/item?id=24656904</link><guid isPermaLink="false">urn:hackerpapers:mention:1711.05099:24656904</guid><pubDate>Thu, 01 Oct 2020 22:37:54 GMT</pubDate><description>&lt;p&gt;Citrine Informatics (citrine.io) | Engineering Manager, Infrastructure, Sr. Backend/Frontend roles |Remote within USA| Full Time| Citrine Informatics is revolutionizing how raw materials and chemicals are produced by empowering companies to develop them faster and more sustainably. Working at Citrine offers the rare opportunity to collaborate with applied scientists at the leading edge of statistical learning theory and application. Here are a few representative peer-reviewed publications describing research done at Citrine in support of the platform’s AI capabilities: Assessing the Frontier…&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/1711.05099/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.LG</category></item><item><title>Overcoming data scarcity with transfer learning — mentioned by tiacitrine</title><link>https://news.ycombinator.com/item?id=24378281</link><guid isPermaLink="false">urn:hackerpapers:mention:1711.05099:24378281</guid><pubDate>Fri, 04 Sep 2020 19:46:47 GMT</pubDate><description>&lt;p&gt;Citrine Informatics (citrine.io) | Engineering Manager, Infrastructure, Sr. Backend &amp;amp; Sr. Frontend roles |Remote within USA| Full Time | Working at Citrine offers the rare opportunity to collaborate with applied scientists at the leading edge of statistical learning theory and application. Here are a few representative peer-reviewed publications describing research done at Citrine in support of the platform’s AI capabilities: Assessing the Frontier: Active Learning, Model Accuracy, and Multi-objective Materials Discovery and Optimization (2019). at https://arxiv.org/abs/1911.03224 Can machine…&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/1711.05099/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.LG</category></item><item><title>Overcoming data scarcity with transfer learning — mentioned by tiacitrine</title><link>https://news.ycombinator.com/item?id=24136720</link><guid isPermaLink="false">urn:hackerpapers:mention:1711.05099:24136720</guid><pubDate>Wed, 12 Aug 2020 20:43:24 GMT</pubDate><description>&lt;p&gt;Citrine Informatics (citrine.io) | Engineering Manager, Infrastructure, Sr. Backend roles |Remote within USA| Full Time | Working at Citrine offers the rare opportunity to collaborate with applied scientists at the leading edge of statistical learning theory and application. Here are a few representative peer-reviewed publications describing research done at Citrine in support of the platform’s AI capabilities: Assessing the Frontier: Active Learning, Model Accuracy, and Multi-objective Materials Discovery and Optimization (2019). at https://arxiv.org/abs/1911.03224 Can machine learning…&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/1711.05099/"&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>
