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researcher

Aastha Agrawal

2 papers here

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

author position
  • middle author2

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

fields
  • cs.CL1
  • cs.LG1

identity via Semantic Scholar / OpenAlex

most citedLeveraging Expert Guided Adversarial Augmentation For Improving Generalization in Named Entity Recognition

1 citations · 1 across the 2 of their papers we have counts for

collaborators

2 papers

cs.CL2022★ 1 cited

Leveraging Expert Guided Adversarial Augmentation For Improving Generalization in Named Entity Recognition

Aaron Reich, Jiaao Chen, Aastha Agrawal +2

Named Entity Recognition (NER) systems often demonstrate great performance on in-distribution data, but perform poorly on examples drawn from a shifted distribution. One way to eva…

cs.LG2021

Canoe : A System for Collaborative Learning for Neural Nets

Harshit Daga, Yiwen Chen, Aastha Agrawal +1

For highly distributed environments such as edge computing, collaborative learning approaches eschew the dependence on a global, shared model, in favor of models tailored for each…

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