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MILO: Model-Agnostic Subset Selection Framework for Efficient Model Training and Tuning


Jan 30, 2023
Kirshnateja Killamsetty, Alexandre V. Evfimievski, Tejaswini Pedapati, Kiran Kate, Lucian Popa, Rishabh Iyer

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Partitioned Gradient Matching-based Data Subset Selection for Compute-Efficient Robust ASR Training


Oct 30, 2022
Ashish Mittal, Durga Sivasubramanian, Rishabh Iyer, Preethi Jyothi, Ganesh Ramakrishnan

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DIAGNOSE: Avoiding Out-of-distribution Data using Submodular Information Measures


Oct 04, 2022
Suraj Kothawade, Akshit Srivastava, Venkat Iyer, Ganesh Ramakrishnan, Rishabh Iyer

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* Accepted to MICCAI 2022 MILLanD Workshop 

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CLINICAL: Targeted Active Learning for Imbalanced Medical Image Classification


Oct 04, 2022
Suraj Kothawade, Atharv Savarkar, Venkat Iyer, Lakshman Tamil, Ganesh Ramakrishnan, Rishabh Iyer

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* Accepted to MICCAI 2022 MILLanD Workshop 

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Active Data Discovery: Mining Unknown Data using Submodular Information Measures


Jun 17, 2022
Suraj Kothawade, Shivang Chopra, Saikat Ghosh, Rishabh Iyer

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AUTOMATA: Gradient Based Data Subset Selection for Compute-Efficient Hyper-parameter Tuning


Mar 15, 2022
Krishnateja Killamsetty, Guttu Sai Abhishek, Aakriti, Alexandre V. Evfimievski, Lucian Popa, Ganesh Ramakrishnan, Rishabh Iyer

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BASIL: Balanced Active Semi-supervised Learning for Class Imbalanced Datasets


Mar 10, 2022
Suraj Kothawade, Pavan Kumar Reddy, Ganesh Ramakrishnan, Rishabh Iyer

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Submodlib: A Submodular Optimization Library


Feb 23, 2022
Vishal Kaushal, Ganesh Ramakrishnan, Rishabh Iyer

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* 23 pages with references, 10 figures, 5 tables 

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PLATINUM: Semi-Supervised Model Agnostic Meta-Learning using Submodular Mutual Information


Jan 30, 2022
Changbin Li, Suraj Kothawade, Feng Chen, Rishabh Iyer

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* *Equal Contribution 

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TALISMAN: Targeted Active Learning for Object Detection with Rare Classes and Slices using Submodular Mutual Information


Nov 30, 2021
Suraj Kothawade, Saikat Ghosh, Sumit Shekhar, Yu Xiang, Rishabh Iyer

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