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Piyush Sharma

Piyush Sharma has 2 papers in our library, in 2018–2019, most of them on Vision & language; often with Radu Soricut, Sebastian Goodman, Kevin Gimpel.

2 papers in our library · 2018–2019

OpenAlex · ORCID · h-index 10 · 26 works · 2,649 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 2,405 times in our library · ⭐ Paper Stars ranking: #635

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: Google Scholar · Semantic Scholar · dblp · ACL Anthology

 Affiliations

🎓Sharda UniversityGreater Noida · India2023–2025 · 2 paperscurrent🎓Manipal University JaipurJaipur · India2025 · 1 papercurrent🏢GoogleMountain View · United States2018–2021 · 15 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 5 more institutions on single bylines are not listed.

 Fields, topics and concepts

Of its works in our library, with the number of works on each.

📚 Shelves 5The field of science this work belongs to (OpenAlex fields).Computer Science · 2 worksComputer Vision and Pattern Recognition · 2 worksArts and Humanities · 1 workArtificial Intelligence · 1 workLanguage and Linguistics · 1 work

🧭 Topics 1Research subjects and languages the work is about.Vision & language · 1 work

💡 Concepts 1Key ideas and methods explained on our concept pages.Machine learning · 1 work

 Works by year

2010s

20191 paper20181 paper

 Papers

The most cited first (OpenAlex and our library).

  1. ALBERT: A Lite BERT for Self-supervised Learning of Language Representations (2019 · 2,806 citations)
    The authors, from Google Research and the Toyota Technological Institute at Chicago, look for a way to scale up BERT-type language models.
  2. Conceptual Captions: A Cleaned, Hypernymed, Image Alt-text Dataset For Automatic Image Captioning (2018 · 2,348 citations)
    The paper addresses the shortage of large and varied training data for automatic image captioning. Earlier resources such as MS-COCO are curated but small for deep models. The authors introduce Conceptual Captions, a set of about 3.3M image–description pairs harvested from the Alt-text attribute of web images. They…

 Co-authors here

6 co-authors with a page, the most papers together first.

Venues

Where their works here were published, the most works first, with the editions of those that have a page.

 Cited by

Papers of our library cite their works 2,405 times (of the 149,439 papers whose bibliographies we read); 347 citing papers with a page here →.

Updated

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