How Well Calibrated are Extreme Multi-label Classifiers? An Empirical Analysis. - Ullah, Nasib; Schultheis, Erik; Zhang, Jinbin; Babbar, Rohit (2025)

SVD-Free Low-Rank Adaptive Gradient Optimization for Large Language Models. - Modoranu, Ionut-Vlad; Safaryan, Mher; Schultheis, Erik; Alistarh, Dan (CoRR, 2025)

Consistent algorithms for multi-label classification with macro-at-k metrics. - Schultheis, Erik; Kotlowski, Wojciech; Wydmuch, Marek; Babbar, Rohit; Borman, Strom; Dembczynski, Krzysztof (2024)

A General Online Algorithm for Optimizing Complex Performance Metrics. - Kotlowski, Wojciech; Wydmuch, Marek; Schultheis, Erik; Babbar, Rohit; Dembczynski, Krzysztof (2024)

Gandalf: Learning Label-label Correlations in Extreme Multi-label Classification via Label Features. - Kharbanda, Siddhant; Gupta, Devaansh; Schultheis, Erik; Banerjee, Atmadeep; Hsieh, Cho-Jui; Babbar, Rohit (2024)

Navigating Extremes: Dynamic Sparsity in Large Output Spaces. - Nasibullah, Nasibullah; Schultheis, Erik; Lasby, Mike; Ioannou, Yani; Babbar, Rohit (2024)

LLaMA-Annotate - Visualizing Token-Level Confidences for LLMs. - Schultheis, Erik; John, St (2024)

Consistent algorithms for multi-label classification with macro-at-k metrics. - Schultheis, Erik; Kotlowski, Wojciech; Wydmuch, Marek; Babbar, Rohit; Borman, Strom; Dembczynski, Krzysztof (CoRR, 2024)

Learning label-label correlations in Extreme Multi-label Classification via Label Features. - Kharbanda, Siddhant; Gupta, Devaansh; Schultheis, Erik; Banerjee, Atmadeep; Hsieh, Cho-Jui; Babbar, Rohit (CoRR, 2024)

A General Online Algorithm for Optimizing Complex Performance Metrics. - Kotlowski, Wojciech; Wydmuch, Marek; Schultheis, Erik; Babbar, Rohit; Dembczynski, Krzysztof (CoRR, 2024)

Navigating Extremes: Dynamic Sparsity in Large Output Space. - Ullah, Nasib; Schultheis, Erik; Lasby, Mike; Ioannou, Yani; Babbar, Rohit (CoRR, 2024)

Labels in Extremes: How Well Calibrated are Extreme Multi-label Classifiers? - Ullah, Nasib; Schultheis, Erik; Zhang, Jinbin; Babbar, Rohit (CoRR, 2024)

Generating artificial displacement data of cracked specimen using physics-guided adversarial networks. - Melching, David; Schultheis, Erik; Breitbarth, Eric (Mach. Learn. Sci. Technol., 2023)

Generalized test utilities for long-tail performance in extreme multi-label classification. - Schultheis, Erik; Wydmuch, Marek; Kotlowski, Wojciech; Babbar, Rohit; Dembczynski, Krzysztof (2023)

Towards Memory-Efficient Training for Extremely Large Output Spaces - Learning with 670k Labels on a Single Commodity GPU. - Schultheis, Erik; Babbar, Rohit (2023)

Physics-guided adversarial networks for artificial digital image correlation data generation. - Melching, David; Schultheis, Erik; Breitbarth, Eric (CoRR, 2023)

Towards Memory-Efficient Training for Extremely Large Output Spaces - Learning with 500k Labels on a Single Commodity GPU. - Schultheis, Erik; Babbar, Rohit (CoRR, 2023)

Generalized test utilities for long-tail performance in extreme multi-label classification. - Schultheis, Erik; Wydmuch, Marek; Kotlowski, Wojciech; Babbar, Rohit; Dembczynski, Krzysztof (CoRR, 2023)

Speeding-up one-versus-all training for extreme classification via mean-separating initialization. - Schultheis, Erik; Babbar, Rohit (Mach. Learn., 2022)

On Missing Labels, Long-tails and Propensities in Extreme Multi-label Classification. - Schultheis, Erik; Wydmuch, Marek; Babbar, Rohit; Dembczynski, Krzysztof (2022)

CascadeXML: Rethinking Transformers for End-to-end Multi-resolution Training in Extreme Multi-label Classification. - Kharbanda, Siddhant; Banerjee, Atmadeep; Schultheis, Erik; Babbar, Rohit (2022)

Extreme Multicore Classification. - Schultheis, Erik; Babbar, Rohit (2022)

On Missing Labels, Long-tails and Propensities in Extreme Multi-label Classification. - Schultheis, Erik; Wydmuch, Marek; Babbar, Rohit; Dembczynski, Krzysztof (CoRR, 2022)

CascadeXML: Rethinking Transformers for End-to-end Multi-resolution Training in Extreme Multi-label Classification. - Kharbanda, Siddhant; Banerjee, Atmadeep; Schultheis, Erik; Babbar, Rohit (CoRR, 2022)

Convex Surrogates for Unbiased Loss Functions in Extreme Classification With Missing Labels. - Qaraei, Mohammadreza; Schultheis, Erik; Gupta, Priyanshu; Babbar, Rohit (2021)

Unbiased Loss Functions for Multilabel Classification with Missing Labels. - Schultheis, Erik; Babbar, Rohit (CoRR, 2021)

Speeding-up One-vs-All Training for Extreme Classification via Smart Initialization. - Schultheis, Erik; Babbar, Rohit (CoRR, 2021)

Unbiased Loss Functions for Extreme Classification With Missing Labels. - Schultheis, Erik; Qaraei, Mohammadreza; Gupta, Priyanshu; Babbar, Rohit (CoRR, 2020)