<?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>Contrastive-Learning on Jungbae Park</title><link>https://jungbaepark.github.io/blog/tags/contrastive-learning/</link><description>Recent content in Contrastive-Learning on Jungbae Park</description><generator>Hugo -- 0.152.2</generator><language>en-us</language><lastBuildDate>Sat, 15 Oct 2022 00:00:00 +0000</lastBuildDate><atom:link href="https://jungbaepark.github.io/blog/tags/contrastive-learning/index.xml" rel="self" type="application/rss+xml"/><item><title>Knowledge Tracing with Contrastive Learning</title><link>https://jungbaepark.github.io/blog/projects/knowledge-tracing-contrastive/</link><pubDate>Sat, 15 Oct 2022 00:00:00 +0000</pubDate><guid>https://jungbaepark.github.io/blog/projects/knowledge-tracing-contrastive/</guid><description>Proposed ACCL and RCL contrastive learning methods at RIIID, achieving state-of-the-art on student modeling across 6 benchmarks (dropout prediction, knowledge tracing). Deployed to Santa TOEIC platform.</description></item></channel></rss>