English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

As a part of the Data-Centric AI Competition, we propose a data-centricapproach to improve the diversity of the training samples by iterativesampling. The method itself relies strongly on the fidelity of augmentedsamples and the diversity of the augmentation methods. Moreover, we improve theperformance further by introducing more samples for the difficult classesespecially providing closer samples to edge cases potentially those the modelat hand misclassifies.

Increasing Data Diversity with Iterative Sampling to Improve Performance