<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Uncertainty | Ravid Shwartz-Ziv</title><link>https://www.ravid-shwartz-ziv.com/tag/uncertainty/</link><atom:link href="https://www.ravid-shwartz-ziv.com/tag/uncertainty/index.xml" rel="self" type="application/rss+xml"/><description>Uncertainty</description><generator>Source Themes Academic (https://sourcethemes.com/academic/)</generator><language>en-us</language><lastBuildDate>Tue, 03 Feb 2026 00:51:26 +0000</lastBuildDate><image><url>https://www.ravid-shwartz-ziv.com/img/ravid-shwartz-ziv-social-v2.png</url><title>Uncertainty</title><link>https://www.ravid-shwartz-ziv.com/tag/uncertainty/</link></image><item><title>UAT-LITE: Inference-Time Uncertainty-Aware Attention for Pretrained Transformers</title><link>https://www.ravid-shwartz-ziv.com/publication/uat-lite/</link><pubDate>Tue, 03 Feb 2026 00:51:26 +0000</pubDate><guid>https://www.ravid-shwartz-ziv.com/publication/uat-lite/</guid><description/></item><item><title>Beyond the Loss Curve: Scaling Laws, Active Learning, and the Limits of Learning from Exact Posteriors</title><link>https://www.ravid-shwartz-ziv.com/publication/beyond-the-loss-curve/</link><pubDate>Fri, 30 Jan 2026 21:08:55 +0000</pubDate><guid>https://www.ravid-shwartz-ziv.com/publication/beyond-the-loss-curve/</guid><description/></item><item><title>The Illusion of AI Expertise Under Uncertainty: Navigating Elusive Ground Truth via a Probabilistic Paradigm</title><link>https://www.ravid-shwartz-ziv.com/publication/ai-expertise-under-uncertainty/</link><pubDate>Fri, 09 Jan 2026 03:19:37 +0000</pubDate><guid>https://www.ravid-shwartz-ziv.com/publication/ai-expertise-under-uncertainty/</guid><description/></item><item><title>Fine-Tuning with Uncertainty-Aware Priors Makes Vision and Language Foundation Models More Reliable</title><link>https://www.ravid-shwartz-ziv.com/publication/uncertainty-aware-priors/</link><pubDate>Sat, 03 May 2025 00:00:00 +0000</pubDate><guid>https://www.ravid-shwartz-ziv.com/publication/uncertainty-aware-priors/</guid><description/></item><item><title>Rate-In: Information-Driven Adaptive Dropout Rates for Improved Inference-Time Uncertainty Estimation</title><link>https://www.ravid-shwartz-ziv.com/publication/rate-in/</link><pubDate>Tue, 10 Dec 2024 04:03:46 +0000</pubDate><guid>https://www.ravid-shwartz-ziv.com/publication/rate-in/</guid><description/></item></channel></rss>