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James J. Davis

6 papers hereh-index 11448 citations27 works total

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

author position
  • middle author6

Across the 6 of 6 papers where every author was matched, so the position is known.

fields
  • cs.LG3
  • cs.AR1
  • cs.CV1
  • math.NA1
same name
  • James J. Davis — 1 paper, h 28
  • James J. Davis — 1 paper, h 7

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

activity
20192022
most citedDeep Neural Network Approximation for Custom Hardware: Where We've Been, Where We're Going

77 citations · 101 across the 5 of their papers we have counts for

collaborators
Showing cs.LGShow all

3 papers · 1 filter

cs.LG2022★ 11 cited

Logic Shrinkage: Learned FPGA Netlist Sparsity for Efficient Neural Network Inference

Erwei Wang, James J. Davis, Georgios-Ilias Stavrou +3

FPGA-specific DNN architectures using the native LUTs as independently trainable inference operators have been shown to achieve favorable area-accuracy and energy-accuracy tradeoff…

cs.LG2019★ 5 cited

LUTNet: Learning FPGA Configurations for Highly Efficient Neural Network Inference

Erwei Wang, James J. Davis, Peter Y. K. Cheung +1

Research has shown that deep neural networks contain significant redundancy, and thus that high classification accuracy can be achieved even when weights and activations are quanti…

cs.LG2019★ 8 cited

LUTNet: Rethinking Inference in FPGA Soft Logic

Erwei Wang, James J. Davis, Peter Y. K. Cheung +1

Research has shown that deep neural networks contain significant redundancy, and that high classification accuracies can be achieved even when weights and activations are quantised…

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