People

Erik Schultheis

Doctoral Researcher

T313 Dept. Computer Science

Full researcher profile

https://research.aalto.fi/...

[email protected]

Honors and awards

NeurIPS 2021 Outstanding Reviewer Award

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

Publications

Gandalf: Learning Label-label Correlations in Extreme Multi-label Classification via Label Features

Siddhant Kharbanda, Devaansh Gupta, Erik Schultheis, Atmadeep Banerjee, Cho Jui Hsieh, Rohit Babbar 2024 KDD 2024 - Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining

A General Online Algorithm for Optimizing Complex Performance Metrics

Wojciech Kotłowski, Marek Wydmuch, Erik Schultheis, Rohit Babbar, Krzysztof Dembczyński 2024 Proceedings of Machine Learning Research

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

Erik Schultheis, Marek Wydmuch, Wojciech Kotlowski, Rohit Babbar, Krzysztof Dembczynski 2024 Advances in Neural Information Processing Systems 36 - 37th Conference on Neural Information Processing Systems, NeurIPS 2023

LLaMA-Annotate—Visualizing Token-Level Confidences for LLMs

Erik Schultheis, S. T. John 2024 Machine Learning and Knowledge Discovery in Databases. Research Track and Demo Track - European Conference, ECML PKDD 2024, Proceedings

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

Nasib Ullah, Erik Schultheis, Jinbin Zhang, Rohit Babbar 2024 KDD 2025 :Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining

Navigating Extremes: Dynamic Sparsity in Large Output Spaces

Nasib Ullah, Erik Schultheis, Mike Lasby, Yani Ioannou, Rohit Babbar 2024 Advances in Neural Information Processing Systems 37 - 38th Conference on Neural Information Processing Systems, NeurIPS 2024

Extreme Multicore Classification

Erik Schultheis, Rohit Babbar 2023 Machine Learning under Resource Constraints

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