Concepedia

Rishabh Iyer

RI

37

Publications

1.6K

Citations

19

H-Index

1986

Active since

Affiliations

University of Washington(Current)

Indian Institute of Technology Bombay

Boston University

University of California, Berkeley

The University of Texas at Dallas

Rishabh Iyer is an author at University of Washington specializing in engineering, data science, and computer science.

Top concepts

EngineeringData ScienceComputer ScienceMachine LearningNatural Language ProcessingDeep LearningComputational LinguisticsLanguageLinguisticsText Mining

Publications per year

1986–2022

37

Publications

37

Submodularity in Data Subset Selection and Active Learning

Kai Wei, Rishabh Iyer, Jeff Bilmes · International Conference on Machine Learning · 2015 · 225 citations

Artificial Intelligence, Engineering, Machine Learning +20

Submodular Optimization with Submodular Cover and Submodular Knapsack Constraints

Rishabh Iyer, Jeff Bilmes · arXiv (Cornell University) · 2013 · 167 citations · Full text

Mathematical Programming, Artificial Intelligence, Large-scale Global Optimization +19

Learning Mixtures of Submodular Functions for Image Collection Summarization

Sebastian Tschiatschek, Rishabh Iyer, Haochen Wei et al. · 2014 · 142 citations

GCR: Gradient Coreset based Replay Buffer Selection for Continual Learning

Rishabh Tiwari, Krishnateja Killamsetty, Rishabh Iyer et al. · 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) · 2022 · 98 citations

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

Krishnateja Killamsetty, Durga Sivasubramanian, Ganesh Ramakrishnan et al. · Proceedings of the AAAI Conference on Artificial Intelligence · 2021 · 94 citations · Full text

Engineering, Machine Learning, Machine Learning Tool +20

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