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researcher

Evarist Fomenko

2 papers hereh-index 4284 citations5 works total

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

author position
  • middle author2

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

fields
  • cs.CV1
  • cs.NE1

identity via Semantic Scholar / OpenAlex

most citedMixed Precision Training of Convolutional Neural Networks using Integer Operations

124 citations · 125 across the 2 of their papers we have counts for

collaborators

2 papers

cs.CV2018★ 1 cited

Highly Efficient 8-bit Low Precision Inference of Convolutional Neural Networks with IntelCaffe

Jiong Gong, Haihao Shen, Guoming Zhang +6

High throughput and low latency inference of deep neural networks are critical for the deployment of deep learning applications. This paper presents the efficient inference techniq…

cs.NE2018★ 124 cited

Mixed Precision Training of Convolutional Neural Networks using Integer Operations

Dipankar Das, Naveen Mellempudi, Dheevatsa Mudigere +14

The state-of-the-art (SOTA) for mixed precision training is dominated by variants of low precision floating point operations, and in particular, FP16 accumulating into FP32 Micikev…

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