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Will LeVine

Out-of-Distribution Detection & Applications With Ablated Learned Temperature Energy

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Jan 22, 2024
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A Baseline Analysis of Reward Models' Ability To Accurately Analyze Foundation Models Under Distribution Shift

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Dec 04, 2023
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Enabling Calibration In The Zero-Shot Inference of Large Vision-Language Models

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Mar 11, 2023
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Out-of-distribution and in-distribution posterior calibration using Kernel Density Polytopes

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Feb 14, 2022
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A general approach to progressive learning

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Apr 28, 2020
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