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Rishabh Iyer

Institution One, Institution Two

GLISTER: Generalization based Data Subset Selection for Efficient and Robust Learning

Dec 22, 2020
Krishnateja Killamsetty, Durga Sivasubramanian, Ganesh Ramakrishnan, Rishabh Iyer

* To appear in Proceedings of 35th AAAI Conference on Artificial Intelligence (AAAI 21) 

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A Reweighted Meta Learning Framework for Robust Few Shot Learning

Nov 13, 2020
Krishnateja Killamsetty, Changbin Li, Chen Zhao, Rishabh Iyer, Feng Chen


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Deep Submodular Networks for Extractive Data Summarization

Oct 16, 2020
Suraj Kothawade, Jiten Girdhar, Chandrashekhar Lavania, Rishabh Iyer


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Improving Accuracy of Federated Learning in Non-IID Settings

Oct 14, 2020
Mustafa Safa Ozdayi, Murat Kantarcioglu, Rishabh Iyer


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A Unified Framework for Generic, Query-Focused, Privacy Preserving and Update Summarization using Submodular Information Measures

Oct 12, 2020
Vishal Kaushal, Suraj Kothawade, Ganesh Ramakrishnan, Jeff Bilmes, Himanshu Asnani, Rishabh Iyer

* 35 pages, 14 figures, 5 tables 

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Robust Semi-Supervised Learning with Out of Distribution Data

Oct 07, 2020
Xujiang Zhao, Killamsetty Krishnateja, Rishabh Iyer, Feng Chen

* Preprint 

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Realistic Video Summarization through VISIOCITY: A New Benchmark and Evaluation Framework

Aug 25, 2020
Vishal Kaushal, Suraj Kothawade, Rishabh Iyer, Ganesh Ramakrishnan

* 19 pages, 1 figure, 14 tables 

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Data Programming using Semi-Supervision and Subset Selection

Aug 22, 2020
Ayush Maheshwari, Oishik Chatterjee, KrishnaTeja Killamsetty, Rishabh Iyer, Ganesh Ramakrishnan

* 11 pages, 2 figures, 13 tables 

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Submodular Combinatorial Information Measures with Applications in Machine Learning

Jul 04, 2020
Rishabh Iyer, Ninad Khargonkar, Jeff Bilmes, Himanshu Asnani


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Concave Aspects of Submodular Functions

Jun 27, 2020
Rishabh Iyer, Jeff Bilmes

* Also appearing in International Symposium of Information Theory. arXiv admin note: substantial text overlap with arXiv:1506.07329 

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Robust Submodular Minimization with Applications to Cooperative Modeling

Jan 25, 2020
Rishabh Iyer

* To Appear in ECAI 2020. arXiv admin note: substantial text overlap with arXiv:1906.06393 

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A Unified Framework of Robust Submodular Optimization

Jun 14, 2019
Rishabh Iyer

* Version 1.0 

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A Memoization Framework for Scaling Submodular Optimization to Large Scale Problems

Feb 26, 2019
Rishabh Iyer, Jeff Bilmes

* To Appear in Proc. AISTATS 2019 

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Near Optimal Algorithms for Hard Submodular Programs with Discounted Cooperative Costs

Feb 26, 2019
Rishabh Iyer, Jeff Bilmes

* To Appear in Proc. AISTATS 2019 

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Learning From Less Data: A Unified Data Subset Selection and Active Learning Framework for Computer Vision

Jan 03, 2019
Vishal Kaushal, Rishabh Iyer, Suraj Kothawade, Rohan Mahadev, Khoshrav Doctor, Ganesh Ramakrishnan

* Accepted to WACV 2019. arXiv admin note: substantial text overlap with arXiv:1805.11191 

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Demystifying Multi-Faceted Video Summarization: Tradeoff Between Diversity,Representation, Coverage and Importance

Jan 03, 2019
Vishal Kaushal, Rishabh Iyer, Khoshrav Doctor, Anurag Sahoo, Pratik Dubal, Suraj Kothawade, Rohan Mahadev, Kunal Dargan, Ganesh Ramakrishnan

* Accepted to WACV 2019. arXiv admin note: substantial text overlap with arXiv:1704.01466, arXiv:1809.08846 

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A Framework towards Domain Specific Video Summarization

Sep 24, 2018
Vishal Kaushal, Rishabh Iyer, Suraj Kothawade, Sandeep Subramanian, Ganesh Ramakrishnan


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Vis-DSS: An Open-Source toolkit for Visual Data Selection and Summarization

Sep 24, 2018
Rishabh Iyer, Pratik Dubal, Kunal Dargan, Suraj Kothawade, Rohan Mahadev, Vishal Kaushal

* Vis-DSS is available at https://github.com/rishabhk108/vis-dss 

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A Unified Batch Online Learning Framework for Click Prediction

Sep 12, 2018
Rishabh Iyer, Nimit Acharya, Tanuja Bompada, Denis Charles, Eren Manavoglu


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Jensen: An Easily-Extensible C++ Toolkit for Production-Level Machine Learning and Convex Optimization

Jul 17, 2018
Rishabh Iyer, John T. Halloran, Kai Wei


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Deployment of Customized Deep Learning based Video Analytics On Surveillance Cameras

Jun 27, 2018
Pratik Dubal, Rohan Mahadev, Suraj Kothawade, Kunal Dargan, Rishabh Iyer

* Added Equal Contribution footnote 

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Learning From Less Data: Diversified Subset Selection and Active Learning in Image Classification Tasks

May 28, 2018
Vishal Kaushal, Anurag Sahoo, Khoshrav Doctor, Narasimha Raju, Suyash Shetty, Pankaj Singh, Rishabh Iyer, Ganesh Ramakrishnan

* 15 pages, 7 figures 

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Modeling and Simultaneously Removing Bias via Adversarial Neural Networks

Apr 18, 2018
John Moore, Joel Pfeiffer, Kai Wei, Rishabh Iyer, Denis Charles, Ran Gilad-Bachrach, Levi Boyles, Eren Manavoglu


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A Unified Multi-Faceted Video Summarization System

Apr 04, 2017
Anurag Sahoo, Vishal Kaushal, Khoshrav Doctor, Suyash Shetty, Rishabh Iyer, Ganesh Ramakrishnan

* 18 pages, 11 Figures 

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Mixed Robust/Average Submodular Partitioning: Fast Algorithms, Guarantees, and Applications to Parallel Machine Learning and Multi-Label Image Segmentation

Aug 16, 2016
Kai Wei, Rishabh Iyer, Shengjie Wang, Wenruo Bai, Jeff Bilmes


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Submodular Hamming Metrics

Nov 06, 2015
Jennifer Gillenwater, Rishabh Iyer, Bethany Lusch, Rahul Kidambi, Jeff Bilmes

* 15 pages, 1 figure, a short version of this will appear in the NIPS 2015 conference 

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The Lovasz-Bregman Divergence and connections to rank aggregation, clustering, and web ranking

Aug 09, 2014
Rishabh Iyer, Jeff A. Bilmes

* Appears in Proceedings of the Twenty-Ninth Conference on Uncertainty in Artificial Intelligence (UAI2013) 

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