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researcher

S. Mehta

20 papers hereh-index 263.5k citations135 works total

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

author position
  • middle author11
  • last author8

Across the 19 of 20 papers where every author was matched, so the position is known.

fields
  • cs.LG5
  • cs.CY4
  • cs.CL3
  • cs.AI2
  • cs.CR2
  • cs.DC2
same name
  • S. Mehta — 2 papers, h 20
  • S. Mehta — 2 papers, h 1
  • S. Mehta — 1 paper, h 11
  • S. Mehta — 1 paper, h 2
  • S. Mehta — 1 paper, h 5
  • S. Mehta — 1 paper, h 17

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

activity
20172021
most citedTowards Crafting Text Adversarial Samples

166 citations · 261 across the 8 of their papers we have counts for

collaborators
Showing cs.CYShow all

4 papers · 1 filter

cs.CY2018

What is my data worth? From data properties to data value

Kalapriya Kannan, Rema Ananthanarayanan, Sameep Mehta

Data today fuels both the economy and advances in machine learning and AI. All aspects of decision making, at the personal and enterprise level and in governments are increasingly…

cs.CY2018

FactSheets: Increasing Trust in AI Services through Supplier's Declarations of Conformity

Matthew Arnold, Rachel K. E. Bellamy, Michael Hind +10

Accuracy is an important concern for suppliers of artificial intelligence (AI) services, but considerations beyond accuracy, such as safety (which includes fairness and explainabil…

cs.CY2017★ 8 cited

An End-To-End Machine Learning Pipeline That Ensures Fairness Policies

Samiulla Shaikh, Harit Vishwakarma, Sameep Mehta +3

In consequential real-world applications, machine learning (ML) based systems are expected to provide fair and non-discriminatory decisions on candidates from groups defined by pro…

cs.CY2017

Bollywood Movie Corpus for Text, Images and Videos

Nishtha Madaan, Sameep Mehta, Mayank Saxena +3

In past few years, several data-sets have been released for text and images. We present an approach to create the data-set for use in detecting and removing gender bias from text.…

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