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Tejaswini Pedapati

37 papers hereh-index 13971 citations59 works total

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

author position
  • first author2
  • middle author29
  • last author6

Across the 37 of 37 papers where every author was matched, so the position is known.

fields
  • cs.LG16
  • cs.CL7
  • cs.DB4
  • cs.CV3
  • cs.HC3
  • cs.AI2
same name
  • Tejaswini Pedapati — 1 paper

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
20172026
most citedA Survey on Neural Architecture Search

208 citations · 306 across the 27 of their papers we have counts for

collaborators
Showing cs.DBShow all

4 papers · 1 filter

cs.DB2025

Evaluating Joinable Column Discovery Approaches for Context-Aware Search

Harsha Kokel, Aamod Khatiwada, Tejaswini Pedapati +4

Joinable Column Discovery is a critical challenge in automating enterprise data analysis. While existing approaches focus on syntactic overlap and semantic similarity, there remain…

cs.DB2025

TOPJoin: A Context-Aware Multi-Criteria Approach for Joinable Column Search

Harsha Kokel, Aamod Khatiwada, Tejaswini Pedapati +4

One of the major challenges in enterprise data analysis is the task of finding joinable tables that are conceptually related and provide meaningful insights. Traditionally, joinabl…

cs.DB2023

LakeBench: Benchmarks for Data Discovery over Data Lakes

Kavitha Srinivas, Julian Dolby, Ibrahim Abdelaziz +6

Within enterprises, there is a growing need to intelligently navigate data lakes, specifically focusing on data discovery. Of particular importance to enterprises is the ability to…

cs.DB2017★ 20 cited

Foresight: Recommending Visual Insights

Çağatay Demiralp, Peter J. Haas, Srinivasan Parthasarathy +1

Current tools for exploratory data analysis (EDA) require users to manually select data attributes, statistical computations and visual encodings. This can be daunting for large-sc…

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