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Vivek Seshadri

Vivek Seshadri has 2 papers in our library, in 2018–2026, most of them on Low-resource languages; often with Amar Phanishayee, Deepak Narayanan.

2 papers in our library · 2018–2026

OpenAlex · ORCID · Wikidata · h-index 29 · 102 works · 5,384 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 74 times in our library · ⭐ Paper Stars ranking: #6935

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

🎓Carnegie Mellon UniversityPittsburgh · United States2011–2018 · 32 papersEducation🏢Microsoft ResearchBengaluru · India2017–2024 · 21 papers🏢MicrosoftRedmond · United States2017–2025 · 12 papers🏢AT&TBedminster · United States1994–2005 · 6 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 2 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 6The field of science this work belongs to (OpenAlex fields).Computer Science · 2 worksArtificial Intelligence · 2 worksComputer Vision and Pattern Recognition · 1 workHardware and Architecture · 1 workArts and Humanities · 1 workLanguage and Linguistics · 1 work

🧭 Topics 1Research subjects and languages the work is about.Low-resource languages · 1 work

 Works by year

2020s

20261 paper

2010s

20181 paper

 Papers

The most cited first (OpenAlex and our library).

  1. PipeDream: Fast and Efficient Pipeline Parallel DNN Training (2018 · 162 citations)
    Data-parallel DNN training gives every GPU a full model copy and synchronizes weights after each step. As models grow and GPUs get faster, network traffic increasingly dominates runtime. For VGG16, it can take up to 85% of training time. Classic model parallelism avoids exchanging all weights but leaves most workers…
  2. Same-Language Subtitles for Low-resource Languages: A Case of Bundelkhandi (2026)
    Regional-language YouTube videos in India rarely have same-language subtitles. This hurts accessibility for hearing-impaired viewers, limits engagement for independent creators, and leaves researchers without transcribed material. Because automatic captions still trail human ones in accuracy, the authors propose…

 Co-authors here

2 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 74 times (of the 149,439 papers whose bibliographies we read); 10 citing papers with a page here →.

Updated

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