Research output per year
Research output per year
Personal profile
Education/Academic qualification
Master of Science in Physics, Georg-August-Universität Göttingen
Award Date: 13 Sept 2019
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Dive into the research topics where Erik Schultheis is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Collaborations and top research areas from the last five years
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Research output
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Navigating Extremes: Dynamic Sparsity in Large Output Spaces
Ullah, N., Schultheis, E., Lasby, M., Ioannou, Y. & Babbar, R., 2025, Advances in Neural Information Processing Systems 37 (NeurIPS 2024). Globerson, A., Mackey, L., Belgrave, D., Fan, A., Paquet, U., Tomczak, J. & Zhang, C. (eds.). Curran Associates Inc., 27 p. (Advances in Neural Information Processing Systems; vol. 37).Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review
Open Access -
A General Online Algorithm for Optimizing Complex Performance Metrics
Kotłowski, W., Wydmuch, M., Schultheis, E., Babbar, R. & Dembczyński, K., 2024, In: Proceedings of Machine Learning Research. 235, p. 25396-25425 30 p.Research output: Contribution to journal › Conference article › Scientific › peer-review
Open AccessFile20 Downloads (Pure) -
Consistent algorithms for multi-label classification with macro-at-k metrics
Schultheis, E., Kotłowski, W., Wydmuch, M., Babbar, R., Borman, S. & Dembczyński, K., 2024, 12th International Conference on Learning Representations (ICLR 2024). Curran Associates Inc.Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review
Open Access3 Citations (Scopus) -
Gandalf: Learning Label-label Correlations in Extreme Multi-label Classification via Label Features
Kharbanda, S., Gupta, D., Schultheis, E., Banerjee, A., Hsieh, C. J. & Babbar, R., 25 Aug 2024, KDD 2024 - Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining. ACM, p. 1360-1371 12 p.Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review
Open AccessFile24 Downloads (Pure) -
Generalized test utilities for long-tail performance in extreme multi-label classification
Schultheis, E., Wydmuch, M., Kotlowski, W., Babbar, R. & Dembczynski, K., 2024, Advances in Neural Information Processing Systems 36 - 37th Conference on Neural Information Processing Systems, NeurIPS 2023. Curran Associates Inc., 35 p. (Advances in Neural Information Processing Systems; vol. 36).Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review
Open Access3 Citations (Scopus)
Datasets
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Dismec++
Schultheis, E. (Creator) & Babbar, R. (Supervisor), Zenodo, 2022
DOI: 10.5281/zenodo.6699586, https://zenodo.org/record/6699587
Dataset: Software or code
Prizes
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NeurIPS 2021 Outstanding Reviewer Award
Schultheis, E. (Recipient), 15 Oct 2021
Prize: Award or honor granted for a specific work
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On Missing Labels, Long-tails and Propensities in Extreme Multi-label Classification
Schultheis, E. (Speaker)
16 Aug 2022Activity: Talk or presentation types › Conference presentation
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Speeding-up one-versus-all training for extreme classification via mean-separating initialization
Schultheis, E. (Speaker)
21 Sept 2022Activity: Talk or presentation types › Conference presentation
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Convex Surrogates for Unbiased Loss Functions in Extreme Classification With Missing Labels
Mohammadnia Qaraei, M. (Speaker), Schultheis, E. (Contributor) & Babbar, R. (Contributor)
4 Nov 2021Activity: Talk or presentation types › Invited academic talk
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Information Sciences (Elsevier) (Journal)
Schultheis, E. (Reviewer)
12 Oct 2021Activity: Publication peer-review and editorial work types › Reviewer of conference article
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Conference on Neural Information Processing Systems (Event)
Schultheis, E. (Reviewer)
4 Jun 2021 → 28 Sept 2021Activity: Publication peer-review and editorial work types › Reviewer of conference article