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Priya Goyal

Priya Goyal has 2 papers in our library, in 2017–2018; often with Kaiming He, Piotr Dollár, Ross Girshick.

2 papers in our library · 2017–2018

OpenAlex · ORCID · Wikidata · h-index 12 · 13 works · 42,803 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 1,346 times in our library · 2 more in our library without a page yet · ⭐ Paper Stars ranking: #1442

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

🎓University of UtahSalt Lake City · United States2023 · 2 paperscurrent🏢MetaMenlo Park · United States2017–2022 · 8 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine.

 Fields, topics and concepts

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

📚 Shelves 4The field of science this work belongs to (OpenAlex fields).Computer Science · 2 worksComputer Vision and Pattern Recognition · 2 worksArtificial Intelligence · 1 workHardware and Architecture · 1 work

 Works by year

2010s

20181 paper20171 paper

 Papers

The most cited first (OpenAlex and our library).

  1. Focal Loss for Dense Object Detection (2017 · 1,995 citations)
    Dense one-stage object detectors score a regular grid of candidate boxes in a single pass. They are simpler and faster than two-stage systems such as Faster R-CNN, which first narrow the image down to a small set of proposals, but they have been less accurate.
  2. Tensor Comprehensions: Framework-Agnostic High-Performance Machine Learning Abstractions (2018 · 323 citations)
    Deep learning frameworks such as TensorFlow, PyTorch and Caffe2 mostly hand computation off to vendor libraries like CUDNN and CUBLAS.

All works

4 works of theirs in our library, the most cited first; 2 with a page here, the others link their original until we summarise them.

  1. Accurate, Large Minibatch SGD: Training ImageNet in 1 Hour ↗arXiv:1706.02677 · no summary yetPriya Goyal et al.2017 · 2,756 citations
  2. Focal Loss for Dense Object DetectionarXiv:1708.02002Tsung-Yi Lin, Priya Goyal, Ross Girshick, et al.2017 · 1,995 citations
  3. Scaling and Benchmarking Self-Supervised Visual Representation Learning ↗IEEE/CVF International Conference on Computer Vision (ICCV) · no summary yetPriya Goyal et al.2019 · 355 citations
  4. Tensor Comprehensions: Framework-Agnostic High-Performance Machine Learning AbstractionsarXiv:1802.04730Nicolas Vasilache, Oleksandr Zinenko, Theodoros Theodoridis, et al.2018 · 323 citations

 Co-authors here

4 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 1,346 times (of the 149,439 papers whose bibliographies we read); 138 citing papers with a page here →.

Updated

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