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researcher

Jordan Massiah

2 papers here

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

author position
  • middle author1
  • last 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 citedPARS: Pseudo-Label Aware Robust Sample Selection for Learning with Noisy Labels

5 citations · 5 across the 2 of their papers we have counts for

collaborators

2 papers

cs.LG2022

Just Mix Once: Worst-group Generalization by Group Interpolation

Giorgio Giannone, Serhii Havrylov, Jordan Massiah +2

Advances in deep learning theory have revealed how average generalization relies on superficial patterns in data. The consequences are brittle models with poor performance with shi…

cs.CV2022★ 5 cited

PARS: Pseudo-Label Aware Robust Sample Selection for Learning with Noisy Labels

Arushi Goel, Yunlong Jiao, Jordan Massiah

Acquiring accurate labels on large-scale datasets is both time consuming and expensive. To reduce the dependency of deep learning models on learning from clean labeled data, severa…

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