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Erik Schultheis
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8
Navigating Extremes: Dynamic Sparsity in Large Output Space
6 November 2024 by
Nasib Ullah
and
others
at
Aalto University
Machine Learning
,
Artificial Intelligence
Fast gradient-free optimization of excitations in variational quantum eigensolvers
9 September 2024 by
Jonas Jäger
and
others
Quantum Physics
A General Online Algorithm for Optimizing Complex Performance Metrics
20 June 2024 by
Wojciech Kotłowski
and
others
Machine Learning
Learning label-label correlations in Extreme Multi-label Classification via Label Features
3 May 2024 by
Siddhant Kharbanda
and
others
Machine Learning
,
Information Retrieval
Consistent algorithms for multi-label classification with macro-at-
k
metrics
29 January 2024 by
Erik Schultheis
and
others
Machine Learning
Generating artificial digital image correlation data using physics-guided adversarial networks
10 January 2024 by
David Melching
and
others
Image and Video Processing
,
Machine Learning
Towards Memory-Efficient Training for Extremely Large Output Spaces -- Learning with 500k Labels on a Single Commodity GPU
6 June 2023 by
Erik Schultheis
and
Rohit Babbar
Machine Learning
,
Artificial Intelligence
CascadeXML: Rethinking Transformers for End-to-end Multi-resolution Training in Extreme Multi-label Classification
29 October 2022 by
Siddhant Kharbanda
and
others
Machine Learning
,
Computation and Language
On Missing Labels, Long-tails and Propensities in Extreme Multi-label Classification
26 July 2022 by
Erik Schultheis
and
others
Machine Learning
,
Information Retrieval
Unbiased Loss Functions for Multilabel Classification with Missing Labels
23 September 2021 by
Erik Schultheis
and
Rohit Babbar
Machine Learning
Unbiased Loss Functions for Extreme Classification With Missing Labels
1 July 2020 by
Erik Schultheis
and
others
Machine Learning
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Topics
Machine Learning
Information Retrieval
Image and Video Processing
Artificial Intelligence
Distributed, Parallel, and Cluster Computing
Computation and Language