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Nguyen et al., 2024 - Google Patents

Knockout: A simple way to handle missing inputs

Nguyen et al., 2024

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Document ID
13657007080809099953
Author
Nguyen M
Karaman B
Kim H
Wang A
Liu F
Sabuncu M
Publication year
Publication venue
arXiv preprint arXiv:2405.20448

External Links

Snippet

Deep learning models can tease out information from complex inputs. The richer inputs the better these models usually perform. However, models that leverage rich inputs (eg multi- sensor, multi-modality, multi-view) can be difficult to deployed widely because some inputs …
Continue reading at arxiv.org (PDF) (other versions)

Classifications

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    • G06K9/6261—Design or setup of recognition systems and techniques; Extraction of features in feature space; Clustering techniques; Blind source separation partitioning the feature space
    • G—PHYSICS
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    • G06—COMPUTING; CALCULATING; COUNTING
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    • G06N99/00—Subject matter not provided for in other groups of this subclass
    • G06N99/005—Learning machines, i.e. computer in which a programme is changed according to experience gained by the machine itself during a complete run
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    • G06—COMPUTING; CALCULATING; COUNTING
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    • G06Q50/00—Systems or methods specially adapted for a specific business sector, e.g. utilities or tourism

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