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researcher

H. Sumihiro

1 paper here

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author position
  • middle author1

Across the 1 of 1 paper where every author was matched, so the position is known.

fields
  • cs.CV1

identity via Semantic Scholar / OpenAlex

most citedn-hot: Efficient bit-level sparsity for powers-of-two neural network quantization

3 citations · 3 across the 1 of their papers we have counts for

collaborators

1 paper

cs.CV2021★ 3 cited

n-hot: Efficient bit-level sparsity for powers-of-two neural network quantization

Yuiko Sakuma, Hiroshi Sumihiro, Jun Nishikawa +2

Powers-of-two (PoT) quantization reduces the number of bit operations of deep neural networks on resource-constrained hardware. However, PoT quantization triggers a severe accuracy…

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