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

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

23 February 2023
P. Kudva
R. Bordawekar
Apoorva Nitsure
ArXivPDFHTML

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

2 / 2 papers shown
Title
Text and Code Embeddings by Contrastive Pre-Training
Text and Code Embeddings by Contrastive Pre-Training
Arvind Neelakantan
Tao Xu
Raul Puri
Alec Radford
Jesse Michael Han
...
Tabarak Khan
Toki Sherbakov
Joanne Jang
Peter Welinder
Lilian Weng
SSL
AI4TS
218
422
0
24 Jan 2022
A Survey on Neural Network Interpretability
A Survey on Neural Network Interpretability
Yu Zhang
Peter Tiño
A. Leonardis
K. Tang
FaML
XAI
144
660
0
28 Dec 2020
1