<?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>Neurips on History</title><link>https://kukie.tech/tags/neurips/</link><description>Recent content in Neurips on History</description><generator>Hugo</generator><language>ko-kr</language><lastBuildDate>Mon, 16 Mar 2026 09:00:00 +0900</lastBuildDate><atom:link href="https://kukie.tech/tags/neurips/index.xml" rel="self" type="application/rss+xml"/><item><title>[논문 리뷰] PyTorch: An Imperative Style, High-Performance Deep Learning Library</title><link>https://kukie.tech/posts/pytorch-2019-paper-review/</link><pubDate>Mon, 16 Mar 2026 09:00:00 +0900</pubDate><guid>https://kukie.tech/posts/pytorch-2019-paper-review/</guid><description>NeurIPS 2019에 발표된 PyTorch 원 논문 리뷰. Eager Execution 기반의 설계 철학과 autograd 구현, 그리고 왜 연구자들이 PyTorch에 열광했는지를 정리함.</description></item></channel></rss>