ResearchTrend.AI
  • Communities
  • Connect sessions
  • AI calendar
  • Organizations
  • Join Slack
  • Contact Sales
Papers
Communities
Social Events
Terms and Conditions
Pricing
Contact Sales
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2026 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2302.12178
  4. Cited By
A Scalable Space-efficient In-database Interpretability Framework for
  Embedding-based Semantic SQL Queries
v1v2v3 (latest)

A Scalable Space-efficient In-database Interpretability Framework for Embedding-based Semantic SQL Queries

23 February 2023
P. Kudva
R. Bordawekar
Apoorva Nitsure
ArXiv (abs)PDFHTML

Papers citing "A Scalable Space-efficient In-database Interpretability Framework for Embedding-based Semantic SQL Queries"

1 / 1 papers shown
"Why Should I Trust You?": Explaining the Predictions of Any Classifier
"Why Should I Trust You?": Explaining the Predictions of Any Classifier
Marco Tulio Ribeiro
Sameer Singh
Carlos Guestrin
FAttFaML
2.5K
19,805
0
16 Feb 2016
1