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Submodular Combinatorial Information Measures with Applications in Machine Learning
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Submodular Combinatorial Information Measures with Applications in Machine Learning

Rishabh K. Iyer
Ninad Khargoankar
J. Bilmes
Himanshu Asanani
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Papers citing "Submodular Combinatorial Information Measures with Applications in Machine Learning"

11 / 61 papers shown
Title
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
71
28
0
30 Nov 2021
DITTO: Data-efficient and Fair Targeted Subset Selection for ASR Accent Adaptation
DITTO: Data-efficient and Fair Targeted Subset Selection for ASR Accent Adaptation
Suraj Kothawade
Anmol Reddy Mekala
D. ChandraSekhara
Mayank Kothyari
Rishabh K. Iyer
Ganesh Ramakrishnan
Preethi Jyothi
76
6
0
10 Oct 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
Effective Evaluation of Deep Active Learning on Image Classification Tasks
Effective Evaluation of Deep Active Learning on Image Classification Tasks
Nathan Beck
D. Sivasubramanian
Apurva Dani
Ganesh Ramakrishnan
Rishabh K. Iyer
VLM
76
39
0
16 Jun 2021
Active Learning in Bayesian Neural Networks with Balanced Entropy Learning Principle
Active Learning in Bayesian Neural Networks with Balanced Entropy Learning Principle
J. Woo
108
11
0
30 May 2021
Submodular Mutual Information for Targeted Data Subset Selection
Submodular Mutual Information for Targeted Data Subset Selection
Suraj Kothawade
Vishal Kaushal
Ganesh Ramakrishnan
J. Bilmes
Rishabh K. Iyer
63
7
0
30 Apr 2021
PRISM: A Rich Class of Parameterized Submodular Information Measures for Guided Subset Selection
PRISM: A Rich Class of Parameterized Submodular Information Measures for Guided Subset Selection
Suraj Kothawade
Vishal Kaushal
Ganesh Ramakrishnan
J. Bilmes
Rishabh K. Iyer
68
50
0
27 Feb 2021
Sensor Planning for Large Numbers of Robots
Sensor Planning for Large Numbers of Robots
Micah Corah
149
5
0
08 Feb 2021
GLISTER: Generalization based Data Subset Selection for Efficient and Robust Learning
GLISTER: Generalization based Data Subset Selection for Efficient and Robust Learning
Krishnateja Killamsetty
D. Sivasubramanian
Ganesh Ramakrishnan
Rishabh Iyer University of Texas at Dallas
90
212
0
19 Dec 2020
Deep Submodular Networks for Extractive Data Summarization
Deep Submodular Networks for Extractive Data Summarization
Suraj Kothawade
Jiten Girdhar
Chandrashekhar Lavania
Rishabh K. Iyer
64
8
0
16 Oct 2020
The Impact of Message Passing in Agent-Based Submodular Maximization
The Impact of Message Passing in Agent-Based Submodular Maximization
David Grimsman
Matthew R. Kirchner
J. Hespanha
Jason R. Marden
20
1
0
07 Apr 2020