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Stephen Mussmann

An Experimental Design Framework for Label-Efficient Supervised Finetuning of Large Language Models

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Jan 12, 2024
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LabelBench: A Comprehensive Framework for Benchmarking Label-Efficient Learning

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Jun 16, 2023
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DataComp: In search of the next generation of multimodal datasets

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May 03, 2023
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VOCALExplore: Pay-as-You-Go Video Data Exploration and Model Building

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Mar 07, 2023
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Active Learning with Expected Error Reduction

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Nov 17, 2022
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Comparing the Value of Labeled and Unlabeled Data in Method-of-Moments Latent Variable Estimation

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Mar 03, 2021
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On the Importance of Adaptive Data Collection for Extremely Imbalanced Pairwise Tasks

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Oct 10, 2020
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Concept Bottleneck Models

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Jul 09, 2020
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A Tight Analysis of Greedy Yields Subexponential Time Approximation for Uniform Decision Tree

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Jun 26, 2019
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Selection Via Proxy: Efficient Data Selection For Deep Learning

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Jun 26, 2019
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