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Jonathan Cohen

Jonathan Cohen has 2 papers in our library, in 2014–2024; often with Bryan Catanzaro, Ayush Dattagupta, Evan Shelhamer.

2 papers in our library · 2014–2024

No OpenAlex profile matched yet.

📄 2 works in our library · 🔗 Cited 397 times in our library · ⭐ Paper Stars ranking: #2183

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

 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

 Works by year

2020s

20241 paper

2010s

20141 paper

 Papers

The most cited first (OpenAlex and our library).

  1. cuDNN: Efficient Primitives for Deep Learning (2014 · 1,240 citations)
    Deep learning frameworks such as Caffe, Theano and Torch7 each maintained hand-tuned GPU kernels for convolution, pooling and activations.
  2. Nemotron-4 340B Technical Report (2024 · 107 citations)
    Nemotron-4 340B is NVIDIA's effort to give the community a very large, openly licensed model family that can also produce synthetic training data.

 Co-authors here

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

 Cited by

Papers of our library cite their works 397 times (of the 149,439 papers whose bibliographies we read); 50 citing papers with a page here →.

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