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researcher

R. Cohen

4 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author2
  • middle author2

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.LG3
  • eess.IV1
same name
  • R. Cohen — 41 papers, h 28
  • R. Cohen — 35 papers, h 50
  • R. Cohen — 29 papers, h 35
  • R. Cohen — 20 papers, h 22
  • R. Cohen — 4 papers, h 19
  • R. Cohen — 4 papers, h 14

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

most citedLightweight Compression of Intermediate Neural Network Features for Collaborative Intelligence

32 citations · 32 across the 2 of their papers we have counts for

collaborators

4 papers

eess.IV2021

CALTeC: Content-Adaptive Linear Tensor Completion for Collaborative Intelligence

Ashiv Dhondea, Robert A. Cohen, Ivan V. Bajić

In collaborative intelligence, an artificial intelligence (AI) model is typically split between an edge device and the cloud. Feature tensors produced by the edge sub-model are sen…

cs.LG2021★ 32 cited

Lightweight Compression of Intermediate Neural Network Features for Collaborative Intelligence

Robert A. Cohen, Hyomin Choi, Ivan V. Bajić

In collaborative intelligence applications, part of a deep neural network (DNN) is deployed on a lightweight device such as a mobile phone or edge device, and the remaining portion…

cs.LG2021

Lightweight compression of neural network feature tensors for collaborative intelligence

Robert A. Cohen, Hyomin Choi, Ivan V. Bajić

In collaborative intelligence applications, part of a deep neural network (DNN) is deployed on a relatively low-complexity device such as a mobile phone or edge device, and the rem…

cs.LG2020

Back-and-Forth prediction for deep tensor compression

Hyomin Choi, Robert A. Cohen, Ivan V. Bajic

Recent AI applications such as Collaborative Intelligence with neural networks involve transferring deep feature tensors between various computing devices. This necessitates tensor…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.