PRISM: A Rich Class of Parameterized Submodular Information Measures for
Guided Subset Selection

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PRISM: A Rich Class of Parameterized Submodular Information Measures for Guided Subset Selection

27 February 2021

Suraj Kothawade

Ganesh Ramakrishnan

Rishabh K. Iyer

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Papers citing "PRISM: A Rich Class of Parameterized Submodular Information Measures for Guided Subset Selection"

14 / 14 papers shown

Title
Foundation Model Insights and a Multi-Model Approach for Superior Fine-Grained One-shot Subset Selection Zhijing Wan Zhixiang Wang Zheng Wang Xin Xu Shiníchi Satoh 22 0 0 17 Jun 2025
A Coreset Selection of Coreset Selection Literature: Introduction and Recent Advances Brian B. Moser Arundhati S. Shanbhag Stanislav Frolov Federico Raue Joachim Folz Andreas Dengel 252 0 0 23 May 2025
ARISE: Iterative Rule Induction and Synthetic Data Generation for Text Classification Y. Meena Vaibhav Singh Ayush Maheshwari Amrith Krishna Ganesh Ramakrishnan AI4TS 433 0 0 09 Feb 2025
Active Fine-Tuning of Multi-Task Policies Marco Bagatella Jonas Hübotter Georg Martius Andreas Krause 149 0 0 07 Oct 2024
$k$ -Submodular Interdiction Problems under Distributional Risk-Receptiveness and Robustness: Application to Machine Learning Seonghun Park Manish Bansal 53 0 0 18 Jun 2024
Spectral Greedy Coresets for Graph Neural Networks Mucong Ding Yinhan He Jundong Li Furong Huang 89 3 0 27 May 2024
On Distributed Larger-Than-Memory Subset Selection With Pairwise Submodular Functions Maximilian Böther Abraham Sebastian Pranjal Awasthi Ana Klimovic Srikumar Ramalingam 113 0 0 26 Feb 2024
Beyond Active Learning: Leveraging the Full Potential of Human Interaction via Auto-Labeling, Human Correction, and Human Verification Nathan Beck Krishnateja Killamsetty Suraj Kothawade Rishabh K. Iyer 52 7 0 02 Jun 2023
STREAMLINE: Streaming Active Learning for Realistic Multi-Distributional Settings Nathan Beck Suraj Kothawade Pradeep Shenoy Rishabh K. Iyer 66 2 0 18 May 2023
DIAGNOSE: Avoiding Out-of-distribution Data using Submodular Information Measures Suraj Kothawade Akshit Shrivastava V. Iyer Ganesh Ramakrishnan Rishabh K. Iyer 43 1 0 04 Oct 2022
CLINICAL: Targeted Active Learning for Imbalanced Medical Image Classification Suraj Kothawade Atharv Savarkar V. Iyer Lakshman Tamil Ganesh Ramakrishnan Rishabh K. Iyer 50 8 0 04 Oct 2022
Unifying Approaches in Active Learning and Active Sampling via Fisher Information and Information-Theoretic Quantities Andreas Kirsch Y. Gal FedML 95 23 0 01 Aug 2022
BASIL: Balanced Active Semi-supervised Learning for Class Imbalanced Datasets Suraj Kothawade P. Reddy Ganesh Ramakrishnan Rishabh K. Iyer 24 0 0 10 Mar 2022
Submodlib: A Submodular Optimization Library Vishal Kaushal Ganesh Ramakrishnan Rishabh K. Iyer 79 12 0 22 Feb 2022