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Rheeya Uppaal

2 papers here

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

author position
  • sole author1
  • middle author1

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

fields
  • cs.CL1
  • cs.LG1
ORCID 0000-0001-6798-8621
same name
  • Rheeya Uppaal — 6 papers, h 7
  • Rheeya Uppaal — 4 papers, h 1

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 citedUsing Error Decay Prediction to Overcome Practical Issues of Deep Active Learning for Named Entity Recognition

19 citations · 19 across the 2 of their papers we have counts for

collaborators

2 papers

cs.CL2019★ 19 cited

Using Error Decay Prediction to Overcome Practical Issues of Deep Active Learning for Named Entity Recognition

Haw-Shiuan Chang, Shankar Vembu, Sunil Mohan +2

Existing deep active learning algorithms achieve impressive sampling efficiency on natural language processing tasks. However, they exhibit several weaknesses in practice, includin…

cs.LG2019

LRS-DAG: Low Resource Supervised Domain Adaptation with Generalization Across Domains

Rheeya Uppaal

Current state of the art methods in Domain Adaptation follow adversarial approaches, making training a challenge. Existing non-adversarial methods learn mappings between the source…

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