Erik Schultheis

Doctoral Researcher
Doctoral Researcher
T313 Dept. Computer Science
Full researcher profile
[email protected]


NeurIPS 2021 Outstanding Reviewer Award

Award or honor granted for a specific work School common, SCI Oct 2021


Generalized test utilities for long-tail performance in extreme multi-label classification

Erik Schultheis, Marek Wydmuch, Wojciech Kotlowski, Rohit Babbar, Krzysztof Dembczynski 2023 Thirty-seventh Conference on Neural Information Processing Systems

Towards Memory-Efficient Training for Extremely Large Output Spaces : Learning with 670k Labels on a Single Commodity GPU

Erik Schultheis, Rohit Babbar 2023 Machine Learning and Knowledge Discovery in Databases

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

Siddhant Kharbanda, Atmadeep Banerjee, Erik Schultheis, Rohit Babbar 2022 Advances in Neural Information Processing Systems 35 (NeurIPS 2022)

Beyond Standard Performance Measures in Extreme Multi-label Classification

Erik Schultheis, Marek Wydmuch, Rohit Babbar, Krzysztof Dembczynski 2022

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

Erik Schultheis, Rohit Babbar, Marek Wydmuch, Krzysztof Dembczynski 2022 Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining

Convex Surrogates for Unbiased Loss Functions in Extreme Classification With Missing Labels

Mohammadreza Mohammadnia Qaraei, Erik Schultheis, Priyanshu Gupta, Rohit Babbar 2021 The Web Conference 2021 - Proceedings of the World Wide Web Conference, WWW 2021