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Erik Schultheis
ORCID
Publication Activity (10 Years)
Years Active: 2020-2024
Publications (10 Years): 15
Top Topics
Multilabel Classification
Loss Function
Binary Classification
Bayes Rule
Top Venues
CoRR
NeurIPS
Mach. Learn.
KDD
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Publications
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Erik Schultheis
,
Wojciech Kotlowski
,
Marek Wydmuch
,
Rohit Babbar
,
Strom Borman
,
Krzysztof Dembczynski
Consistent algorithms for multi-label classification with macro-at-k metrics.
CoRR
(2024)
Erik Schultheis
,
Rohit Babbar
Towards Memory-Efficient Training for Extremely Large Output Spaces - Learning with 500k Labels on a Single Commodity GPU.
CoRR
(2023)
Erik Schultheis
,
Marek Wydmuch
,
Wojciech Kotlowski
,
Rohit Babbar
,
Krzysztof Dembczynski
Generalized test utilities for long-tail performance in extreme multi-label classification.
CoRR
(2023)
David Melching
,
Erik Schultheis
,
Eric Breitbarth
Physics-guided adversarial networks for artificial digital image correlation data generation.
CoRR
(2023)
Erik Schultheis
,
Rohit Babbar
Towards Memory-Efficient Training for Extremely Large Output Spaces - Learning with 670k Labels on a Single Commodity GPU.
ECML/PKDD (3)
(2023)
Erik Schultheis
,
Marek Wydmuch
,
Wojciech Kotlowski
,
Rohit Babbar
,
Krzysztof Dembczynski
Generalized test utilities for long-tail performance in extreme multi-label classification.
NeurIPS
(2023)
Erik Schultheis
,
Rohit Babbar
Speeding-up one-versus-all training for extreme classification via mean-separating initialization.
Mach. Learn.
111 (11) (2022)
Siddhant Kharbanda
,
Atmadeep Banerjee
,
Erik Schultheis
,
Rohit Babbar
CascadeXML: Rethinking Transformers for End-to-end Multi-resolution Training in Extreme Multi-label Classification.
NeurIPS
(2022)
Siddhant Kharbanda
,
Atmadeep Banerjee
,
Erik Schultheis
,
Rohit Babbar
CascadeXML: Rethinking Transformers for End-to-end Multi-resolution Training in Extreme Multi-label Classification.
CoRR
(2022)
Erik Schultheis
,
Marek Wydmuch
,
Rohit Babbar
,
Krzysztof Dembczynski
On Missing Labels, Long-tails and Propensities in Extreme Multi-label Classification.
CoRR
(2022)
Erik Schultheis
,
Marek Wydmuch
,
Rohit Babbar
,
Krzysztof Dembczynski
On Missing Labels, Long-tails and Propensities in Extreme Multi-label Classification.
KDD
(2022)
Erik Schultheis
,
Rohit Babbar
Speeding-up One-vs-All Training for Extreme Classification via Smart Initialization.
CoRR
(2021)
Erik Schultheis
,
Rohit Babbar
Unbiased Loss Functions for Multilabel Classification with Missing Labels.
CoRR
(2021)
Mohammadreza Qaraei
,
Erik Schultheis
,
Priyanshu Gupta
,
Rohit Babbar
Convex Surrogates for Unbiased Loss Functions in Extreme Classification With Missing Labels.
WWW
(2021)
Erik Schultheis
,
Mohammadreza Qaraei
,
Priyanshu Gupta
,
Rohit Babbar
Unbiased Loss Functions for Extreme Classification With Missing Labels.
CoRR
(2020)