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A Memoization Framework for Scaling Submodular Optimization to Large
  Scale Problems

A Memoization Framework for Scaling Submodular Optimization to Large Scale Problems

26 February 2019
Rishabh K. Iyer
J. Bilmes
ArXiv (abs)PDFHTML

Papers citing "A Memoization Framework for Scaling Submodular Optimization to Large Scale Problems"

4 / 4 papers shown
Title
E-LDA: Toward Interpretable LDA Topic Models with Strong Guarantees in Logarithmic Parallel Time
E-LDA: Toward Interpretable LDA Topic Models with Strong Guarantees in Logarithmic Parallel Time
Adam Breuer
12
0
0
06 Jun 2025
TALISMAN: Targeted Active Learning for Object Detection with Rare
  Classes and Slices using Submodular Mutual Information
TALISMAN: Targeted Active Learning for Object Detection with Rare Classes and Slices using Submodular Mutual Information
Suraj Kothawade
Saikat Ghosh
Sumit Shekhar
Yu Xiang
Rishabh K. Iyer
69
28
0
30 Nov 2021
SIMILAR: Submodular Information Measures Based Active Learning In
  Realistic Scenarios
SIMILAR: Submodular Information Measures Based Active Learning In Realistic Scenarios
Suraj Kothawade
Nathan Beck
Krishnateja Killamsetty
Rishabh K. Iyer
80
106
0
01 Jul 2021
Semi-Supervised Data Programming with Subset Selection
Semi-Supervised Data Programming with Subset Selection
Ayush Maheshwari
Oishik Chatterjee
Krishnateja Killamsetty
Ganesh Ramakrishnan
Rishabh K. Iyer
84
22
0
22 Aug 2020
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