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researcher

Z. Emam

2 papers here

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

author position
  • first author1
  • middle author1

Across the 2 of 2 papers where every author was matched, so the position is known.

fields
  • cs.CV1
  • cs.LG1

identity via Semantic Scholar / OpenAlex

most citedOn The State of Data In Computer Vision: Human Annotations Remain Indispensable for Developing Deep Learning Models

7 citations · 10 across the 2 of their papers we have counts for

collaborators

2 papers

cs.LG2021★ 3 cited

Datasets for Studying Generalization from Easy to Hard Examples

Avi Schwarzschild, Eitan Borgnia, Arjun Gupta +5

We describe new datasets for studying generalization from easy to hard examples.

cs.CV2021★ 7 cited

On The State of Data In Computer Vision: Human Annotations Remain Indispensable for Developing Deep Learning Models

Zeyad Emam, Andrew Kondrich, Sasha Harrison +4

High-quality labeled datasets play a crucial role in fueling the development of machine learning (ML), and in particular the development of deep learning (DL). However, since the e…

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