<?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>Data Scaling Laws on Tolga Dimlioglu</title><link>https://tolgadimli.github.io/tags/data-scaling-laws/</link><description>Recent content in Data Scaling Laws on Tolga Dimlioglu</description><generator>Hugo -- 0.147.2</generator><language>en</language><lastBuildDate>Wed, 15 Jan 2025 00:00:00 +0000</lastBuildDate><atom:link href="https://tolgadimli.github.io/tags/data-scaling-laws/index.xml" rel="self" type="application/rss+xml"/><item><title>Data Scaling Laws for End-to-End Autonomous Driving</title><link>https://tolgadimli.github.io/papers/paper3/</link><pubDate>Wed, 15 Jan 2025 00:00:00 +0000</pubDate><guid>https://tolgadimli.github.io/papers/paper3/</guid><description>We analyze the relationship between model performance and training dataset size for end-to-end autonomous driving.</description></item></channel></rss>