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

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

27 February 2021

Suraj Kothawade

Ganesh Ramakrishnan

Rishabh K. Iyer

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

6 / 6 papers shown

Title
ARISE: Iterative Rule Induction and Synthetic Data Generation for Text Classification Y. Meena Vaibhav Singh Ayush Maheshwari Amrith Krishna Ganesh Ramakrishnan AI4TS 100 0 0 09 Feb 2025
On Distributed Larger-Than-Memory Subset Selection With Pairwise Submodular Functions Maximilian Böther Abraham Sebastian Pranjal Awasthi Ana Klimovic Srikumar Ramalingam 42 0 0 26 Feb 2024
STREAMLINE: Streaming Active Learning for Realistic Multi-Distributional Settings Nathan Beck Suraj Kothawade Pradeep Shenoy Rishabh K. Iyer 16 2 0 18 May 2023
Unifying Approaches in Active Learning and Active Sampling via Fisher Information and Information-Theoretic Quantities Andreas Kirsch Y. Gal FedML 29 21 0 01 Aug 2022
Submodlib: A Submodular Optimization Library Vishal Kaushal Ganesh Ramakrishnan Rishabh K. Iyer 43 12 0 22 Feb 2022
Query-Focused Extractive Video Summarization Aidean Sharghi Boqing Gong M. Shah 69 121 0 18 Jul 2016