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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

Rishabh K. Iyer
J. Bilmes
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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
7
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
79
22
0
22 Aug 2020