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Erik Schultheis

Labels in Extremes: How Well Calibrated are Extreme Multi-label Classifiers?

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Nov 06, 2024
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Navigating Extremes: Dynamic Sparsity in Large Output Space

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Nov 05, 2024
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A General Online Algorithm for Optimizing Complex Performance Metrics

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Jun 20, 2024
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Learning label-label correlations in Extreme Multi-label Classification via Label Features

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May 03, 2024
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Consistent algorithms for multi-label classification with macro-at-$k$ metrics

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Jan 29, 2024
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Generalized test utilities for long-tail performance in extreme multi-label classification

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Nov 09, 2023
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Towards Memory-Efficient Training for Extremely Large Output Spaces -- Learning with 500k Labels on a Single Commodity GPU

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Jun 06, 2023
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Physics-guided adversarial networks for artificial digital image correlation data generation

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Mar 28, 2023
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CascadeXML: Rethinking Transformers for End-to-end Multi-resolution Training in Extreme Multi-label Classification

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Oct 29, 2022
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On Missing Labels, Long-tails and Propensities in Extreme Multi-label Classification

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Jul 26, 2022
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