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Career

· Assistant Professor, UC Berkeley, EECS Department2023–

Publications (110)

Submodularity in Data Subset Selection and Active Learning
International Conference on Machine Learning · 2015
446
cited
Submodular Optimization with Submodular Cover and Submodular Knapsack Constraints
Neural Information Processing Systems · 2013
273
cited
GRAD-MATCH: Gradient Matching based Data Subset Selection for Efficient Deep Model Training
International Conference on Machine Learning · 2021
272
cited
Learning Mixtures of Submodular Functions for Image Collection Summarization
Neural Information Processing Systems · 2014
215
cited
GCR: Gradient Coreset based Replay Buffer Selection for Continual Learning
Computer Vision and Pattern Recognition · 2021
168
cited
Algorithms for Approximate Minimization of the Difference Between Submodular Functions, with Applications
Conference on Uncertainty in Artificial Intelligence · 2012
165
cited
Submodular Combinatorial Information Measures with Applications in Machine Learning
International Conference on Algorithmic Learning Theory · 2020
120
cited
SIMILAR: Submodular Information Measures Based Active Learning In Realistic Scenarios
Neural Information Processing Systems · 2021
119
cited
Curvature and Optimal Algorithms for Learning and Minimizing Submodular Functions
Neural Information Processing Systems · 2013
115
cited
Fast Semidifferential-based Submodular Function Optimization
International Conference on Machine Learning · 2013
111
cited
RETRIEVE: Coreset Selection for Efficient and Robust Semi-Supervised Learning
Neural Information Processing Systems · 2021
102
cited
Learning From Less Data: A Unified Data Subset Selection and Active Learning Framework for Computer Vision
IEEE Workshop/Winter Conference on Applications of Computer Vision · 2019
100
cited
Fast Multi-stage Submodular Maximization
International Conference on Machine Learning · 2014
87
cited
GRAD-MATCH: Gradient Matching based Data Subset Selection for Efficient Deep Model Training
arXiv.org · 2021
73
cited
PRISM: A Rich Class of Parameterized Submodular Information Measures for Guided Data Subset Selection
AAAI Conference on Artificial Intelligence · 2021
58
cited
Effective Evaluation of Deep Active Learning on Image Classification Tasks
arXiv.org · 2021
46
cited
Submodular-Bregman and the Lovász-Bregman Divergences with Applications
Neural Information Processing Systems · 2012
41
cited
Summarization of Multi-Document Topic Hierarchies using Submodular Mixtures
Annual Meeting of the Association for Computational Linguistics · 2015
41
cited
Algorithms for Optimizing the Ratio of Submodular Functions
International Conference on Machine Learning · 2016
39
cited
Mixed Robust/Average Submodular Partitioning: Fast Algorithms, Guarantees, and Applications
Neural Information Processing Systems · 2015
37
cited
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Rishabh Iyer | Researcher Profile | Sotabase | Sotabase