Erik Schultheis
Doctoral Researcher
Doctoral Researcher
T313 Dept. Computer Science
Full researcher profile
https://research.aalto.fi/...
Sähköposti
[email protected]
Palkinnot
NeurIPS 2021 Outstanding Reviewer Award
Award or honor granted for a specific work
School common, SCI
Oct 2021
Julkaisut
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