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Samiksha Jagadale

2 papers hereh-index 212 citations2 works total

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.CL2

identity via Semantic Scholar / OpenAlex

most citedOn Sensitivity of Deep Learning Based Text Classification Algorithms to Practical Input Perturbations

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

collaborators

2 papers

cs.CL2022

Towards Simple and Efficient Task-Adaptive Pre-training for Text Classification

Arnav Ladkat, Aamir Miyajiwala, Samiksha Jagadale +2

Language models are pre-trained using large corpora of generic data like book corpus, common crawl and Wikipedia, which is essential for the model to understand the linguistic char…

cs.CL2022★ 7 cited

On Sensitivity of Deep Learning Based Text Classification Algorithms to Practical Input Perturbations

Aamir Miyajiwala, Arnav Ladkat, Samiksha Jagadale +1

Text classification is a fundamental Natural Language Processing task that has a wide variety of applications, where deep learning approaches have produced state-of-the-art results…

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