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researcher

Peter Súkeník

9 papers hereh-index 8161 citations9 works total

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

author position
  • first author6
  • middle author3

Across the 9 of 9 papers where every author was matched, so the position is known.

fields
  • cs.LG8
  • cs.CV1

identity via Semantic Scholar / OpenAlex

activity
20212026
most citedThe Unreasonable Effectiveness of Fully-Connected Layers for Low-Data Regimes

3 citations · 6 across the 8 of their papers we have counts for

collaborators
Showing 2022Show all

2 papers · 1 filter

cs.CV2022★ 3 cited

The Unreasonable Effectiveness of Fully-Connected Layers for Low-Data Regimes

Peter Kocsis, Peter Súkeník, Guillem Brasó +3

Convolutional neural networks were the standard for solving many computer vision tasks until recently, when Transformers of MLP-based architectures have started to show competitive…

cs.LG2022★ 2 cited

Generalization In Multi-Objective Machine Learning

Peter Súkeník, Christoph H. Lampert

Modern machine learning tasks often require considering not just one but multiple objectives. For example, besides the prediction quality, this could be the efficiency, robustness…

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