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Sara Hooker

21 papers hereh-index 235.2k citations33 works total

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

author position
  • sole author2
  • first author2
  • middle author7
  • last author8

Across the 19 of 21 papers where every author was matched, so the position is known.

fields
  • cs.LG10
  • cs.CY4
  • cs.CL3
  • cs.AI1
  • cs.CV1
  • cs.SE1
same name
  • Sara Hooker — 23 papers, h 12
  • Sara Hooker — 16 papers, h 11
  • Sara Hooker — 4 papers
  • Sara Hooker — 3 papers, h 3
  • Sara Hooker — 3 papers, h 3
  • Sara Hooker — 2 papers, h 2

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

activity
20172024
most citedThe State of Sparsity in Deep Neural Networks

439 citations · 867 across the 14 of their papers we have counts for

collaborators
Showing 2022Show all

3 papers · 1 filter

cs.CL2022

Intriguing Properties of Compression on Multilingual Models

Kelechi Ogueji, Orevaoghene Ahia, Gbemileke Onilude +3

Multilingual models are often particularly dependent on scaling to generalize to a growing number of languages. Compression techniques are widely relied upon to reconcile the growt…

cs.LG2022★ 6 cited

Metadata Archaeology: Unearthing Data Subsets by Leveraging Training Dynamics

Shoaib Ahmed Siddiqui, Nitarshan Rajkumar, Tegan Maharaj +2

Modern machine learning research relies on relatively few carefully curated datasets. Even in these datasets, and typically in `untidy' or raw data, practitioners are faced with si…

cs.LG2022★ 2 cited

When less is more: Simplifying inputs aids neural network understanding

Robin Tibor Schirrmeister, Rosanne Liu, Sara Hooker +1

How do neural network image classifiers respond to simpler and simpler inputs? And what do such responses reveal about the learning process? To answer these questions, we need a cl…

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