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Alex Labach

3 papers hereh-index 2182 citations5 works total

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

author position
  • first author3

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • cs.LG2
  • cs.NE1
same name
  • Alex Labach — 8 papers, h 3

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

most citedSurvey of Dropout Methods for Deep Neural Networks

47 citations · 52 across the 2 of their papers we have counts for

collaborators
Showing cs.LGShow all

2 papers · 1 filter

cs.LG2020★ 5 cited

A Framework for Neural Network Pruning Using Gibbs Distributions

Alex Labach, Shahrokh Valaee

Modern deep neural networks are often too large to use in many practical scenarios. Neural network pruning is an important technique for reducing the size of such models and accele…

cs.LG2019

Regularizing Neural Networks by Stochastically Training Layer Ensembles

Alex Labach, Shahrokh Valaee

Dropout and similar stochastic neural network regularization methods are often interpreted as implicitly averaging over a large ensemble of models. We propose STE (stochastically t…

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