Iyer, Rishabh K

22 publications

NeurIPS 2025 Looking Beyond the Known: Towards a Data Discovery Guided Open-World Object Detection Anay Majee, Amitesh Gangrade, Rishabh K Iyer

ICML 2024 SCoRe: Submodular Combinatorial Representation Learning Anay Majee, Suraj Nandkishor Kothawade, Krishnateja Killamsetty, Rishabh K Iyer

NeurIPS 2024 STONE: A Submodular Optimization Framework for Active 3D Object Detection Ruiyu Mao, Sarthak Kumar Maharana, Rishabh K Iyer, Yunhui Guo

ICML 2023 Discrete Continuous Optimization Framework for Simultaneous Clustering and Training in Mixture Models Parth Vipul Sangani, Arjun Shashank Kashettiwar, Pritish Chakraborty, Bhuvan Reddy Gangula, Durga S, Ganesh Ramakrishnan, Rishabh K Iyer, Abir De

AAAI 2022 A Nested Bi-Level Optimization Framework for Robust Few Shot Learning KrishnaTeja Killamsetty, Changbin Li, Chen Zhao, Feng Chen, Rishabh K. Iyer

AAAI 2022 PRISM: A Rich Class of Parameterized Submodular Information Measures for Guided Data Subset Selection Suraj Kothawade, Vishal Kaushal, Ganesh Ramakrishnan, Jeff A. Bilmes, Rishabh K. Iyer

NeurIPSW 2021 A Nested Bi-Level Optimization Framework for Robust Few Shot Learning Krishnateja Killamsetty, Changbin Li, Chen Zhao, Feng Chen, Rishabh K Iyer

AAAI 2021 GLISTER: Generalization Based Data Subset Selection for Efficient and Robust Learning KrishnaTeja Killamsetty, Durga Sivasubramanian, Ganesh Ramakrishnan, Rishabh K. Iyer

ECCVW 2020 Watch Hours in Minutes: Summarizing Videos with User Intent Saiteja Nalla, Mohit Agrawal, Vishal Kaushal, Ganesh Ramakrishnan, Rishabh K. Iyer

WACV 2019 A Framework Towards Domain Specific Video Summarization Vishal Kaushal, Sandeep Subramanian, Suraj Kothawade, Rishabh K. Iyer, Ganesh Ramakrishnan

WACV 2019 Demystifying Multi-Faceted Video Summarization: Tradeoff Between Diversity, Representation, Coverage and Importance Vishal Kaushal, Rishabh K. Iyer, Khoshrav Doctor, Anurag Sahoo, Pratik Dubal, Suraj Kothawade, Rohan Mahadev, Kunal Dargan, Ganesh Ramakrishnan

WACV 2019 Learning from Less Data: A Unified Data Subset Selection and Active Learning Framework for Computer Vision Vishal Kaushal, Rishabh K. Iyer, Suraj Kothawade, Rohan Mahadev, Khoshrav Doctor, Ganesh Ramakrishnan

NeurIPS 2015 Mixed Robust/Average Submodular Partitioning: Fast Algorithms, Guarantees, and Applications Kai Wei, Rishabh K Iyer, Shengjie Wang, Wenruo Bai, Jeff A. Bilmes

AISTATS 2015 On Approximate Non-Submodular Minimization via Tree-Structured Supermodularity Yoshinobu Kawahara, Rishabh K. Iyer, Jeff A. Bilmes

NeurIPS 2015 Submodular Hamming Metrics Jennifer A Gillenwater, Rishabh K Iyer, Bethany Lusch, Rahul Kidambi, Jeff A. Bilmes

AISTATS 2015 Submodular Point Processes with Applications to Machine Learning Rishabh K. Iyer, Jeff A. Bilmes

NeurIPS 2014 Learning Mixtures of Submodular Functions for Image Collection Summarization Sebastian Tschiatschek, Rishabh K Iyer, Haochen Wei, Jeff A. Bilmes

UAI 2014 Monotone Closure of Relaxed Constraints in Submodular Optimization: Connections Between Minimization and Maximization Rishabh K. Iyer, Stefanie Jegelka, Jeff A. Bilmes

NeurIPS 2013 Curvature and Optimal Algorithms for Learning and Minimizing Submodular Functions Rishabh K Iyer, Stefanie Jegelka, Jeff A. Bilmes

NeurIPS 2013 Submodular Optimization with Submodular Cover and Submodular Knapsack Constraints Rishabh K Iyer, Jeff A. Bilmes

UAI 2013 The Lovasz-Bregman Divergence and Connections to Rank Aggregation, Clustering, and Web Ranking Rishabh K. Iyer, Jeff A. Bilmes

UAI 2012 Algorithms for Approximate Minimization of the Difference Between Submodular Functions, with Applications Rishabh K. Iyer, Jeff A. Bilmes