Erik Schultheis
6 papers · 2022–2025 · 3 conferences · across top CS/AI conferences
Achievements
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🌍
Conference Polyglot
(3)
🌉
Interdisciplinary Bridge
🧭
Keyword Pioneer
🐝
Cross-Pollinator
(15)
👑
Triple Crown
Conferences
NIPS (3)
ICML (2)
ICLR (1)
Top co-authors
Keywords
extreme multi-label classification
(2)
text classification
(1)
multi-label classification
(1)
efficient computing
(1)
large-scale classification
(1)
label tree
(1)
regret bound
(1)
dynamic sparse training
(1)
multi-resolution learning
(1)
precision at k
(1)
propensity scoring
(1)
long-tail learning
(1)
metric learning
(1)
expected test utility
(1)
Papers
ELMO : Efficiency via Low-precision and Peak Memory Optimization in Large Output Spaces
ICML 2025
Navigating Extremes: Dynamic Sparsity in Large Output Spaces
NIPS 2024
Consistent algorithms for multi-label classification with macro-at-$k$ metrics
ICLR 2024
A General Online Algorithm for Optimizing Complex Performance Metrics
ICML 2024
Generalized test utilities for long-tail performance in extreme multi-label classification
NIPS 2023
CascadeXML: Rethinking Transformers for End-to-end Multi-resolution Training in Extreme Multi-label Classification
NIPS 2022