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Teney et al., 2020 - Google Patents

Learning what makes a difference from counterfactual examples and gradient supervision

Teney et al., 2020

View PDF
Document ID
4203710862541366370
Author
Teney D
Abbasnedjad E
van den Hengel A
Publication year
Publication venue
Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23–28, 2020, Proceedings, Part X 16

External Links

Snippet

One of the primary challenges limiting the applicability of deep learning is its susceptibility to learning spurious correlations rather than the underlying mechanisms of the task of interest. The resulting failure to generalise cannot be addressed by simply using more data from the …
Continue reading at arxiv.org (PDF) (other versions)

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    • G06F17/30864—Retrieval from the Internet, e.g. browsers by querying, e.g. search engines or meta-search engines, crawling techniques, push systems
    • G06F17/30867—Retrieval from the Internet, e.g. browsers by querying, e.g. search engines or meta-search engines, crawling techniques, push systems with filtering and personalisation
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