<?xml version="1.0" encoding="utf-8" standalone="yes"?>
<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:content="http://purl.org/rss/1.0/modules/content/">
  <channel>
    <title>Deep-Learning on Tenu Tech Brief</title>
    <link>https://cluster-site.onrender.com/tags/deep-learning/</link>
    <description>Recent content in Deep-Learning on Tenu Tech Brief</description>
    <generator>Hugo -- 0.146.0</generator>
    <language>en-us</language>
    <lastBuildDate>Tue, 24 Feb 2026 06:03:07 +0000</lastBuildDate>
    <atom:link href="https://cluster-site.onrender.com/tags/deep-learning/index.xml" rel="self" type="application/rss+xml" />
    <item>
      <title>Establishing a Scalable Sparse Ecosystem with the Universal Sparse Tensor</title>
      <link>https://cluster-site.onrender.com/posts/establishing-a-scalable-sparse-ecosystem-with-the-universal-sparse-tensor/</link>
      <pubDate>Fri, 30 Jan 2026 18:00:00 +0000</pubDate>
      <guid>https://cluster-site.onrender.com/posts/establishing-a-scalable-sparse-ecosystem-with-the-universal-sparse-tensor/</guid>
      <description>• UST decouples tensor sparsity from memory representation, enabling flexible storage formats. • Developers describe storage via a DSL, focusing solely on sparsity patterns. • Comp</description>
    </item>
    <item>
      <title>Enhancing Neural Network Training at Yelp: Achieving 1,400x Speedup with WideAndDeep</title>
      <link>https://cluster-site.onrender.com/posts/enhancing-neural-network-training-at-yelp-achieving-1400x-speedup-with-wideanddeep/</link>
      <pubDate>Wed, 22 Jan 2025 00:00:00 +0000</pubDate>
      <guid>https://cluster-site.onrender.com/posts/enhancing-neural-network-training-at-yelp-achieving-1400x-speedup-with-wideanddeep/</guid>
      <description>• Reduced pCTR model training from 75 hours/epoch on 450M samples to under 1 hour on 2B samples. • Built ArrowStreamServer, an in‑house low‑latency Parquet streaming library, repla</description>
    </item>
    <item>
      <title>Efficient Visual Representation Learning And Evaluation</title>
      <link>https://cluster-site.onrender.com/posts/efficient-visual-representation-learning-and-evaluation/</link>
      <pubDate>Fri, 07 Jun 2024 17:23:02 +0000</pubDate>
      <guid>https://cluster-site.onrender.com/posts/efficient-visual-representation-learning-and-evaluation/</guid>
      <description>• Etsy leverages computer vision to enhance shopping via visual search and recommendations. • Deep neural networks encode images into vector representations, powering downstream ta</description>
    </item>
  </channel>
</rss>
