◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

G. Erlebacher

3 papers hereh-index 335.1k citations185 works total

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

author position
  • middle author1
  • last author2

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

fields
  • cs.LG1
  • math.CO1
  • stat.ML1

identity via Semantic Scholar / OpenAlex

activity
20182021
most citedThe Generalization-Stability Tradeoff In Neural Network Pruning

32 citations · 36 across the 3 of their papers we have counts for

collaborators

3 papers

math.CO2021

Polychrony as Chinampas

Eric Dolores-Cuenca, Jose Antonio Arciniega-Nevarez, Anh Nguyen +5

In this paper, we study the flow of signals through linear paths with the nonlinear condition that a node emits a signal when it receives external stimuli or when two incoming sign…

cs.LG2019★ 32 cited

The Generalization-Stability Tradeoff In Neural Network Pruning

Brian R. Bartoldson, Ari S. Morcos, Adrian Barbu +1

Pruning neural network parameters is often viewed as a means to compress models, but pruning has also been motivated by the desire to prevent overfitting. This motivation is partic…

stat.ML2018★ 4 cited

Enhancing the Regularization Effect of Weight Pruning in Artificial Neural Networks

Brian Bartoldson, Adrian Barbu, Gordon Erlebacher

Artificial neural networks (ANNs) may not be worth their computational/memory costs when used in mobile phones or embedded devices. Parameter-pruning algorithms combat these costs,…

◍wovepaper

Papers, researchers and institutions, woven together.

Explore
  • Search
  • Researchers
  • Institutions
Account
  • Library
  • Chat
Data
  • arXiv.org
  • Semantic Scholar
  • OpenAlex
  • Latest RSS
AboutContactPrivacyDevelopersllms.txtopenapi.json
Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.