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researcher

Govardhan Mattela

2 papers hereh-index 564 citations9 works total

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

author position
  • last author2

Across the 2 of 2 papers where every author was matched, so the position is known.

fields
  • cs.LG2

identity via Semantic Scholar / OpenAlex

most citedThe Ramifications of Making Deep Neural Networks Compact

9 citations · 14 across the 2 of their papers we have counts for

collaborators

2 papers

cs.LG2020★ 5 cited

DeepPeep: Exploiting Design Ramifications to Decipher the Architecture of Compact DNNs

Nandan Kumar Jha, Sparsh Mittal, Binod Kumar +1

The remarkable predictive performance of deep neural networks (DNNs) has led to their adoption in service domains of unprecedented scale and scope. However, the widespread adoption…

cs.LG2020★ 9 cited

The Ramifications of Making Deep Neural Networks Compact

Nandan Kumar Jha, Sparsh Mittal, Govardhan Mattela

The recent trend in deep neural networks (DNNs) research is to make the networks more compact. The motivation behind designing compact DNNs is to improve energy efficiency since by…

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