Iyer, Rishabh

22 publications

WACV 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 Iyer

WACV 2024 Gradient Coreset for Federated Learning Durga Sivasubramanian, Lokesh Nagalapatti, Rishabh Iyer, Ganesh Ramakrishnan

ECCV 2024 SMILe: Leveraging Submodular Mutual Information for Robust Few-Shot Object Detection Anay Majee, Ryan X Sharp, Rishabh Iyer

NeurIPS 2023 Efficient Data Subset Selection to Generalize Training Across Models: Transductive and Inductive Networks Eeshaan Jain, Tushar Nandy, Gaurav Aggarwal, Ashish Tendulkar, Rishabh Iyer, Abir De

NeurIPS 2022 AUTOMATA: Gradient Based Data Subset Selection for Compute-Efficient Hyper-Parameter Tuning Krishnateja Killamsetty, Guttu Sai Abhishek, Aakriti Lnu, Ganesh Ramakrishnan, Alexandre Evfimievski, Lucian Popa, Rishabh Iyer

CVPR 2022 GCR: Gradient Coreset Based Replay Buffer Selection for Continual Learning Rishabh Tiwari, Krishnateja Killamsetty, Rishabh Iyer, Pradeep Shenoy

NeurIPS 2022 ORIENT: Submodular Mutual Information Measures for Data Subset Selection Under Distribution Shift Athresh Karanam, Krishnateja Killamsetty, Harsha Kokel, Rishabh Iyer

ICML 2022 PLATINUM: Semi-Supervised Model Agnostic Meta-Learning Using Submodular Mutual Information Changbin Li, Suraj Kothawade, Feng Chen, Rishabh Iyer

ECCV 2022 TALISMAN: Targeted Active Learning for Object Detection with Rare Classes and Slices Using Submodular Mutual Information Suraj Kothawade, Saikat Ghosh, Sumit Shekhar, Yu Xiang, Rishabh Iyer

ICML 2021 GRAD-MATCH: Gradient Matching Based Data Subset Selection for Efficient Deep Model Training Krishnateja Killamsetty, Durga S, Ganesh Ramakrishnan, Abir De, Rishabh Iyer

NeurIPS 2021 Learning to Select Exogenous Events for Marked Temporal Point Process Ping Zhang, Rishabh Iyer, Ashish Tendulkar, Gaurav Aggarwal, Abir De

NeurIPS 2021 RETRIEVE: Coreset Selection for Efficient and Robust Semi-Supervised Learning Krishnateja Killamsetty, Xujiang Zhao, Feng Chen, Rishabh Iyer

NeurIPS 2021 SIMILAR: Submodular Information Measures Based Active Learning in Realistic Scenarios Suraj Kothawade, Nathan Beck, Krishnateja Killamsetty, Rishabh Iyer

ALT 2021 Submodular Combinatorial Information Measures with Applications in Machine Learning Rishabh Iyer, Ninad Khargoankar, Jeff Bilmes, Himanshu Asanani

ICML 2021 Training Data Subset Selection for Regression with Controlled Generalization Error Durga S, Rishabh Iyer, Ganesh Ramakrishnan, Abir De

AISTATS 2019 A Memoization Framework for Scaling Submodular Optimization to Large Scale Problems Rishabh Iyer, Jeffrey Bilmes

AISTATS 2019 Near Optimal Algorithms for Hard Submodular Programs with Discounted Cooperative Costs Rishabh Iyer, Jeffrey Bilmes

ICML 2016 Algorithms for Optimizing the Ratio of Submodular Functions Wenruo Bai, Rishabh Iyer, Kai Wei, Jeff Bilmes

ICML 2015 Submodularity in Data Subset Selection and Active Learning Kai Wei, Rishabh Iyer, Jeff Bilmes

ICML 2014 Fast Multi-Stage Submodular Maximization Kai Wei, Rishabh Iyer, Jeff Bilmes

ICML 2013 Fast Semidifferential-Based Submodular Function Optimization Rishabh Iyer, Stefanie Jegelka, Jeff Bilmes

NeurIPS 2012 Submodular-Bregman and the Lovász-Bregman Divergences with Applications Rishabh Iyer, Jeff A. Bilmes