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P. Esperança

8 papers hereh-index 12622 citations24 works total

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

author position
  • first author1
  • middle author7

Across the 8 of 8 papers where every author was matched, so the position is known.

fields
  • cs.LG5
  • cs.CV2
  • stat.ML1

identity via Semantic Scholar / OpenAlex

activity
20172021
most citedNAS evaluation is frustratingly hard

109 citations · 124 across the 6 of their papers we have counts for

collaborators
Showing 2020Show all

2 papers · 1 filter

cs.LG2020★ 10 cited

Batch Group Normalization

Xiao-Yun Zhou, Jiacheng Sun, Nanyang Ye +6

Deep Convolutional Neural Networks (DCNNs) are hard and time-consuming to train. Normalization is one of the effective solutions. Among previous normalization methods, Batch Normal…

cs.LG2020

Neural Architecture Generator Optimization

Binxin Ru, Pedro Esperanca, Fabio Carlucci

Neural Architecture Search (NAS) was first proposed to achieve state-of-the-art performance through the discovery of new architecture patterns, without human intervention. An over-…

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