Rishabh K. Iyer

136 papers A* 21A 16B 3Journal 73Unranked 23

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	SHaSaM: Submodular Hard Sample Mining for Fair Facial Attribute Recognition. CoRR Anay Majee, Rishabh K. Iyer
2025	J	`jnl`	InSQuAD: In-Context Learning for Efficient Retrieval via Submodular Mutual Information to Enforce Quality and Diversity. CoRR Souradeep Nanda, Anay Majee, Rishabh K. Iyer
2025	A*	`conf`	InSQuaD: In-Context Learning for Efficient Retrieval via Submodular Mutual Information to Enforce Quality and Diversity. ICDM Souradeep Nanda, Anay Majee, Rishabh K. Iyer
2025	J	`jnl`	Looking Beyond the Known: Towards a Data Discovery Guided Open-World Object Detection. CoRR Anay Majee, Amitesh Gangrade, Rishabh K. Iyer
2024	A	`conf`	Beyond Active Learning: Leveraging the Full Potential of Human Interaction via Auto-Labeling, Human Correction, and Human Verification. WACV Nathan Beck, Krishnateja Killamsetty, Suraj Kothawade, Rishabh K. Iyer
2024	J	`jnl`	Efficient Data Subset Selection to Generalize Training Across Models: Transductive and Inductive Networks. CoRR Eeshaan Jain, Tushar Nandy, Gaurav Aggarwal, Ashish Tendulkar, Rishabh K. Iyer, Abir De
2024	A	`conf`	Gradient Coreset for Federated Learning. WACV Durga Sivasubramanian, Lokesh Nagalapatti, Rishabh K. Iyer, Ganesh Ramakrishnan
2024	J	`jnl`	Gradient Coreset for Federated Learning. CoRR Durga Sivasubramanian, Lokesh Nagalapatti, Rishabh K. Iyer, Ganesh Ramakrishnan
2024	A*	`conf`	SCoRe: Submodular Combinatorial Representation Learning. ICML Anay Majee, Suraj Kothawade, Krishnateja Killamsetty, Rishabh K. Iyer
2024	—	`conf`	SMILe: Leveraging Submodular Mutual Information For Robust Few-Shot Object Detection. ECCV (32) Anay Majee, Ryan Sharp, Rishabh K. Iyer
2024	J	`jnl`	SMILe: Leveraging Submodular Mutual Information For Robust Few-Shot Object Detection. CoRR Anay Majee, Ryan Sharp, Rishabh K. Iyer
2024	J	`jnl`	STENCIL: Submodular Mutual Information Based Weak Supervision for Cold-Start Active Learning. CoRR Nathan Beck, Adithya Iyer, Rishabh K. Iyer
2024	A*	`conf`	STONE: A Submodular Optimization Framework for Active 3D Object Detection. NeurIPS Ruiyu Mao, Sarthak Kumar Maharana, Rishabh K. Iyer, Yunhui Guo
2024	J	`jnl`	STONE: A Submodular Optimization Framework for Active 3D Object Detection. CoRR Ruiyu Mao, Sarthak Kumar Maharana, Rishabh K. Iyer, Yunhui Guo
2024	J	`jnl`	Theoretical Analysis of Submodular Information Measures for Targeted Data Subset Selection. CoRR Nathan Beck, Truong Pham, Rishabh K. Iyer
2023	J	`jnl`	Beyond Active Learning: Leveraging the Full Potential of Human Interaction via Auto-Labeling, Human Correction, and Human Verification. CoRR Nathan Beck, Krishnateja Killamsetty, Suraj Kothawade, Rishabh K. Iyer
2023	—	`conf`	DITTO: Data-efficient and Fair Targeted Subset Selection for ASR Accent Adaptation. ACL (1) Suraj Kothawade, Anmol Reddy Mekala, D. Chandra Sekhara Hetha Havya, Mayank Kothyari, Rishabh K. Iyer, Ganesh Ramakrishnan, Preethi Jyothi
2023	A*	`conf`	Discrete Continuous Optimization Framework for Simultaneous Clustering and Training in Mixture Models. ICML Parth Vipul Sangani, Arjun Shashank Kashettiwar, Pritish Chakraborty, Bhuvan Reddy Gangula, Durga Sivasubramanian, Ganesh Ramakrishnan, Rishabh K. Iyer, Abir De
2023	A*	`conf`	Efficient Data Subset Selection to Generalize Training Across Models: Transductive and Inductive Networks. NeurIPS Eeshaan Jain, Tushar Nandy, Gaurav Aggarwal, Ashish Tendulkar, Rishabh K. Iyer, Abir De
2023	—	`conf`	INGENIOUS: Using Informative Data Subsets for Efficient Pre-Training of Language Models. EMNLP (Findings) H. S. V. N. S. Kowndinya Renduchintala, Krishnateja Killamsetty, Sumit Bhatia, Milan Aggarwal, Ganesh Ramakrishnan, Rishabh K. Iyer, Balaji Krishnamurthy
2023	J	`jnl`	INGENIOUS: Using Informative Data Subsets for Efficient Pre-Training of Large Language Models. CoRR H. S. V. N. S. Kowndinya Renduchintala, Krishnateja Killamsetty, Sumit Bhatia, Milan Aggarwal, Ganesh Ramakrishnan, Rishabh K. Iyer, Balaji Krishnamurthy
2023	J	`jnl`	MILO: Model-Agnostic Subset Selection Framework for Efficient Model Training and Tuning. CoRR Krishnateja Killamsetty, Alexandre V. Evfimievski, Tejaswini Pedapati, Kiran Kate, Lucian Popa, Rishabh K. Iyer
2023	J	`jnl`	SCoRe: Submodular Combinatorial Representation Learning for Real-World Class-Imbalanced Settings. CoRR Anay Majee, Suraj Kothawade, Krishnateja Killamsetty, Rishabh K. Iyer
2023	J	`jnl`	STREAMLINE: Streaming Active Learning for Realistic Multi-Distributional Settings. CoRR Nathan Beck, Suraj Kothawade, Pradeep Shenoy, Rishabh K. Iyer
2022	A*	`conf`	A Nested Bi-level Optimization Framework for Robust Few Shot Learning. AAAI Krishnateja Killamsetty, Changbin Li, Chen Zhao, Feng Chen, Rishabh K. Iyer
2022	A*	`conf`	AUTOMATA: Gradient Based Data Subset Selection for Compute-Efficient Hyper-parameter Tuning. NeurIPS Krishnateja Killamsetty, Guttu Sai Abhishek, Aakriti, Ganesh Ramakrishnan, Alexandre V. Evfimievski, Lucian Popa, Rishabh K. Iyer
2022	J	`jnl`	AUTOMATA: Gradient Based Data Subset Selection for Compute-Efficient Hyper-parameter Tuning. CoRR Krishnateja Killamsetty, Guttu Sai Abhishek, Aakriti, Alexandre V. Evfimievski, Lucian Popa, Ganesh Ramakrishnan, Rishabh K. Iyer
2022	J	`jnl`	Active Data Discovery: Mining Unknown Data using Submodular Information Measures. CoRR Suraj Kothawade, Shivang Chopra, Saikat Ghosh, Rishabh K. Iyer
2022	J	`jnl`	BASIL: Balanced Active Semi-supervised Learning for Class Imbalanced Datasets. CoRR Suraj Kothawade, Pavan Kumar Reddy, Ganesh Ramakrishnan, Rishabh K. Iyer
2022	—	`conf`	CLINICAL: Targeted Active Learning for Imbalanced Medical Image Classification. MILLanD@MICCAI Suraj Kothawade, Atharv Savarkar, Venkat Iyer, Ganesh Ramakrishnan, Rishabh K. Iyer
2022	J	`jnl`	CLINICAL: Targeted Active Learning for Imbalanced Medical Image Classification. CoRR Suraj Kothawade, Atharv Savarkar, Venkat Iyer, Lakshman Tamil, Ganesh Ramakrishnan, Rishabh K. Iyer
2022	—	`conf`	DIAGNOSE: Avoiding Out-of-Distribution Data Using Submodular Information Measures. MILLanD@MICCAI Suraj Kothawade, Akshit Shrivastava, Venkat Iyer, Ganesh Ramakrishnan, Rishabh K. Iyer
2022	J	`jnl`	DIAGNOSE: Avoiding Out-of-distribution Data using Submodular Information Measures. CoRR Suraj Kothawade, Akshit Srivastava, Venkat Iyer, Ganesh Ramakrishnan, Rishabh K. Iyer
2022	A*	`conf`	GCR: Gradient Coreset based Replay Buffer Selection for Continual Learning. CVPR Rishabh Tiwari, Krishnateja Killamsetty, Rishabh K. Iyer, Pradeep Shenoy
2022	J	`jnl`	Generalized Submodular Information Measures: Theoretical Properties, Examples, Optimization Algorithms, and Applications. IEEE Trans. Inf. Theory Rishabh K. Iyer, Ninad Khargonkar, Jeff A. Bilmes, Himanshu Asnani
2022	A*	`conf`	How Out-of-Distribution Data Hurts Semi-Supervised Learning. ICDM Xujiang Zhao, Krishnateja Killamsetty, Rishabh K. Iyer, Feng Chen
2022	—	`conf`	Learning to Robustly Aggregate Labeling Functions for Semi-supervised Data Programming. ACL (Findings) Ayush Maheshwari, Krishnateja Killamsetty, Ganesh Ramakrishnan, Rishabh K. Iyer, Marina Danilevsky, Lucian Popa
2022	A*	`conf`	ORIENT: Submodular Mutual Information Measures for Data Subset Selection under Distribution Shift. NeurIPS Athresh Karanam, Krishnateja Killamsetty, Harsha Kokel, Rishabh K. Iyer
2022	A*	`conf`	PLATINUM: Semi-Supervised Model Agnostic Meta-Learning using Submodular Mutual Information. ICML Changbin Li, Suraj Kothawade, Feng Chen, Rishabh K. Iyer
2022	J	`jnl`	PLATINUM: Semi-Supervised Model Agnostic Meta-Learning using Submodular Mutual Information. CoRR Changbin Li, Suraj Kothawade, Feng Chen, Rishabh K. Iyer
2022	A*	`conf`	PRISM: A Rich Class of Parameterized Submodular Information Measures for Guided Data Subset Selection. AAAI Suraj Kothawade, Vishal Kaushal, Ganesh Ramakrishnan, Jeff A. Bilmes, Rishabh K. Iyer
2022	—	`conf`	Partitioned Gradient Matching-based Data Subset Selection for Compute-Efficient Robust ASR Training. EMNLP (Findings) Ashish R. Mittal, Durga Sivasubramanian, Rishabh K. Iyer, Preethi Jyothi, Ganesh Ramakrishnan
2022	J	`jnl`	Partitioned Gradient Matching-based Data Subset Selection for Compute-Efficient Robust ASR Training. CoRR Ashish R. Mittal, Durga Sivasubramanian, Rishabh K. Iyer, Preethi Jyothi, Ganesh Ramakrishnan
2022	—	`conf`	SPEAR : Semi-supervised Data Programming in Python. EMNLP (Demos) Guttu Sai Abhishek, Harshad Ingole, Parth Laturia, Vineeth Dorna, Ayush Maheshwari, Ganesh Ramakrishnan, Rishabh K. Iyer
2022	J	`jnl`	Submodlib: A Submodular Optimization Library. CoRR Vishal Kaushal, Ganesh Ramakrishnan, Rishabh K. Iyer
2022	—	`conf`	Talisman: Targeted Active Learning for Object Detection with Rare Classes and Slices Using Submodular Mutual Information. ECCV (38) Suraj Kothawade, Saikat Ghosh, Sumit Shekhar, Yu Xiang, Rishabh K. Iyer
2021	—	`conf`	A Clustering based Selection Framework for Cost Aware and Test-time Feature Elicitation. COMAD/CODS Srijita Das, Rishabh K. Iyer, Sriraam Natarajan
2021	A	`conf`	A Practical Online Framework for Extracting Running Video Summaries under a Fixed Memory Budget. SDM Chandrashekhar Lavania, Kai Wei, Rishabh K. Iyer, Jeff A. Bilmes
2021	J	`jnl`	Effective Evaluation of Deep Active Learning on Image Classification Tasks. CoRR Nathan Beck, Durga Sivasubramanian, Apurva Dani, Ganesh Ramakrishnan, Rishabh K. Iyer
2021	J	`jnl`	GCR: Gradient Coreset Based Replay Buffer Selection For Continual Learning. CoRR Rishabh Tiwari, Krishnateja Killamsetty, Rishabh K. Iyer, Pradeep Shenoy
2021	A*	`conf`	GLISTER: Generalization based Data Subset Selection for Efficient and Robust Learning. AAAI Krishnateja Killamsetty, Durga Sivasubramanian, Ganesh Ramakrishnan, Rishabh K. Iyer
2021	J	`jnl`	GRAD-MATCH: A Gradient Matching Based Data Subset Selection for Efficient Learning. CoRR Krishnateja Killamsetty, Durga Sivasubramanian, Baharan Mirzasoleiman, Ganesh Ramakrishnan, Abir De, Rishabh K. Iyer
2021	A*	`conf`	GRAD-MATCH: Gradient Matching based Data Subset Selection for Efficient Deep Model Training. ICML Krishnateja Killamsetty, Durga Sivasubramanian, Ganesh Ramakrishnan, Abir De, Rishabh K. Iyer
2021	J	`jnl`	How Good is a Video Summary? A New Benchmarking Dataset and Evaluation Framework Towards Realistic Video Summarization. CoRR Vishal Kaushal, Suraj Kothawade, Anshul Tomar, Rishabh K. Iyer, Ganesh Ramakrishnan
2021	B	`conf`	Independence Properties of Generalized Submodular Information Measures. ISIT Himanshu Asnani, Jeff A. Bilmes, Rishabh K. Iyer
2021	J	`jnl`	Independence Properties of Generalized Submodular Information Measures. CoRR Himanshu Asnani, Jeff A. Bilmes, Rishabh K. Iyer
2021	J	`jnl`	Learning to Robustly Aggregate Labeling Functions for Semi-supervised Data Programming. CoRR Ayush Maheshwari, Krishnateja Killamsetty, Ganesh Ramakrishnan, Rishabh K. Iyer, Marina Danilevsky, Lucian Popa
2021	A*	`conf`	Learning to Select Exogenous Events for Marked Temporal Point Process. NeurIPS Ping Zhang, Rishabh K. Iyer, Ashish Tendulkar, Gaurav Aggarwal, Abir De
2021	J	`jnl`	PRISM: A Unified Framework of Parameterized Submodular Information Measures for Targeted Data Subset Selection and Summarization. CoRR Vishal Kaushal, Suraj Kothawade, Ganesh Ramakrishnan, Jeff A. Bilmes, Rishabh K. Iyer
2021	J	`jnl`	Personalizing ASR with limited data using targeted subset selection. CoRR Mayank Kothyari, Anmol Reddy Mekala, Rishabh K. Iyer, Ganesh Ramakrishnan, Preethi Jyothi
2021	A*	`conf`	RETRIEVE: Coreset Selection for Efficient and Robust Semi-Supervised Learning. NeurIPS Krishnateja Killamsetty, Xujiang Zhao, Feng Chen, Rishabh K. Iyer
2021	J	`jnl`	RETRIEVE: Coreset Selection for Efficient and Robust Semi-Supervised Learning. CoRR Krishnateja Killamsetty, Xujiang Zhao, Feng Chen, Rishabh K. Iyer
2021	—	`conf`	Rule Augmented Unsupervised Constituency Parsing. ACL/IJCNLP (Findings) Atul Sahay, Anshul Nasery, Ayush Maheshwari, Ganesh Ramakrishnan, Rishabh K. Iyer
2021	J	`jnl`	Rule Augmented Unsupervised Constituency Parsing. CoRR Atul Sahay, Anshul Nasery, Ayush Maheshwari, Ganesh Ramakrishnan, Rishabh K. Iyer
2021	A*	`conf`	SIMILAR: Submodular Information Measures Based Active Learning In Realistic Scenarios. NeurIPS Suraj Kothawade, Nathan Beck, Krishnateja Killamsetty, Rishabh K. Iyer
2021	J	`jnl`	SIMILAR: Submodular Information Measures Based Active Learning In Realistic Scenarios. CoRR Suraj Kothawade, Nathan Beck, Krishnateja Killamsetty, Rishabh K. Iyer
2021	J	`jnl`	SPEAR : Semi-supervised Data Programming in Python. CoRR Guttu Sai Abhishek, Harshad Ingole, Parth Laturia, Vineeth Dorna, Ayush Maheshwari, Ganesh Ramakrishnan, Rishabh K. Iyer
2021	—	`conf`	Semi-Supervised Data Programming with Subset Selection. ACL/IJCNLP (Findings) Ayush Maheshwari, Oishik Chatterjee, Krishnateja Killamsetty, Ganesh Ramakrishnan, Rishabh K. Iyer
2021	J	`jnl`	Submodular Mutual Information for Targeted Data Subset Selection. CoRR Suraj Kothawade, Vishal Kaushal, Ganesh Ramakrishnan, Jeff A. Bilmes, Rishabh K. Iyer
2021	B	`conf`	Submodular combinatorial information measures with applications in machine learning. ALT Rishabh K. Iyer, Ninad Khargoankar, Jeff A. Bilmes, Himanshu Asanani
2021	J	`jnl`	TALISMAN: Targeted Active Learning for Object Detection with Rare Classes and Slices using Submodular Mutual Information. CoRR Suraj Kothawade, Saikat Ghosh, Sumit Shekhar, Yu Xiang, Rishabh K. Iyer
2021	A*	`conf`	Training Data Subset Selection for Regression with Controlled Generalization Error. ICML Durga Sivasubramanian, Rishabh K. Iyer, Ganesh Ramakrishnan, Abir De
2021	J	`jnl`	Training Data Subset Selection for Regression with Controlled Generalization Error. CoRR Durga Sivasubramanian, Rishabh K. Iyer, Ganesh Ramakrishnan, Abir De
2020	J	`jnl`	A Reweighted Meta Learning Framework for Robust Few Shot Learning. CoRR Krishnateja Killamsetty, Changbin Li, Chen Zhao, Rishabh K. Iyer, Feng Chen
2020	J	`jnl`	A Unified Framework for Generic, Query-Focused, Privacy Preserving and Update Summarization using Submodular Information Measures. CoRR Vishal Kaushal, Suraj Kothawade, Ganesh Ramakrishnan, Jeff A. Bilmes, Himanshu Asnani, Rishabh K. Iyer
2020	B	`conf`	Concave Aspects of Submodular Functions. ISIT Rishabh K. Iyer, Jeff A. Bilmes
2020	J	`jnl`	Concave Aspects of Submodular Functions. CoRR Rishabh K. Iyer, Jeff A. Bilmes
2020	—	`conf`	Cost Aware Feature Elicitation. KiML@KDD Srijita Das, Rishabh K. Iyer, Sriraam Natarajan
2020	J	`jnl`	Data Programming using Semi-Supervision and Subset Selection. CoRR Ayush Maheshwari, Oishik Chatterjee, Krishnateja Killamsetty, Rishabh K. Iyer, Ganesh Ramakrishnan
2020	J	`jnl`	Deep Submodular Networks for Extractive Data Summarization. CoRR Suraj Kothawade, Jiten Girdhar, Chandrashekhar Lavania, Rishabh K. Iyer
2020	J	`jnl`	GLISTER: Generalization based Data Subset Selection for Efficient and Robust Learning. CoRR Krishnateja Killamsetty, Durga Sivasubramanian, Ganesh Ramakrishnan, Rishabh K. Iyer
2020	—	`conf`	Realistic Video Summarization through VISIOCITY: A New Benchmark and Evaluation Framework. AI4TV@MM Vishal Kaushal, Suraj Kothawade, Rishabh K. Iyer, Ganesh Ramakrishnan
2020	J	`jnl`	Realistic Video Summarization through VISIOCITY: A New Benchmark and Evaluation Framework. CoRR Vishal Kaushal, Suraj Kothawade, Rishabh K. Iyer, Ganesh Ramakrishnan
2020	J	`jnl`	Robust Semi-Supervised Learning with Out of Distribution Data. CoRR Xujiang Zhao, Krishnateja Killamsetty, Rishabh K. Iyer, Feng Chen
2020	A	`conf`	Robust Submodular Minimization with Applications to Cooperative Modeling. ECAI Rishabh K. Iyer
2020	J	`jnl`	Robust Submodular Minimization with Applications to Cooperative Modeling. CoRR Rishabh K. Iyer
2020	J	`jnl`	Submodular Combinatorial Information Measures with Applications in Machine Learning. CoRR Rishabh K. Iyer, Ninad Khargoankar, Jeff A. Bilmes, Himanshu Asanani
2020	—	`conf`	Watch Hours in Minutes: Summarizing Videos with User Intent. ECCV Workshops (5) Saiteja Nalla, Mohit Agrawal, Vishal Kaushal, Ganesh Ramakrishnan, Rishabh K. Iyer
2019	A	`conf`	A Framework Towards Domain Specific Video Summarization. WACV Vishal Kaushal, Sandeep Subramanian, Suraj Kothawade, Rishabh K. Iyer, Ganesh Ramakrishnan
2019	A	`conf`	A Memoization Framework for Scaling Submodular Optimization to Large Scale Problems. AISTATS Rishabh K. Iyer, Jeffrey A. Bilmes
2019	J	`jnl`	A Memoization Framework for Scaling Submodular Optimization to Large Scale Problems. CoRR Rishabh K. Iyer, Jeff A. Bilmes
2019	J	`jnl`	A Unified Framework of Robust Submodular Optimization. CoRR Rishabh K. Iyer
2019	A	`conf`	Demystifying Multi-Faceted Video Summarization: Tradeoff Between Diversity, Representation, Coverage and Importance. WACV Vishal Kaushal, Rishabh K. Iyer, Khoshrav Doctor, Anurag Sahoo, Pratik Dubal, Suraj Kothawade, Rohan Mahadev, Kunal Dargan, Ganesh Ramakrishnan
2019	J	`jnl`	Demystifying Multi-Faceted Video Summarization: Tradeoff Between Diversity, Representation, Coverage and Importance. CoRR Vishal Kaushal, Rishabh K. Iyer, Khoshrav Doctor, Anurag Sahoo, Pratik Dubal, Suraj Kothawade, Rohan Mahadev, Kunal Dargan, Ganesh Ramakrishnan
2019	A	`conf`	Learning From Less Data: A Unified Data Subset Selection and Active Learning Framework for Computer Vision. WACV Vishal Kaushal, Rishabh K. Iyer, Suraj Kothawade, Rohan Mahadev, Khoshrav Doctor, Ganesh Ramakrishnan
2019	J	`jnl`	Learning From Less Data: A Unified Data Subset Selection and Active Learning Framework for Computer Vision. CoRR Vishal Kaushal, Rishabh K. Iyer, Suraj Kothawade, Rohan Mahadev, Khoshrav Doctor, Ganesh Ramakrishnan
2019	A	`conf`	Near Optimal Algorithms for Hard Submodular Programs with Discounted Cooperative Costs. AISTATS Rishabh K. Iyer, Jeffrey A. Bilmes
2019	J	`jnl`	Near Optimal Algorithms for Hard Submodular Programs with Discounted Cooperative Costs. CoRR Rishabh K. Iyer, Jeff A. Bilmes
2018	J	`jnl`	A Framework towards Domain Specific Video Summarization. CoRR Vishal Kaushal, Rishabh K. Iyer, Suraj Kothawade, Sandeep Subramanian, Ganesh Ramakrishnan
2018	J	`jnl`	A Unified Batch Online Learning Framework for Click Prediction. CoRR Rishabh K. Iyer, Nimit Acharya, Tanuja Bompada, Denis Charles, Eren Manavoglu
2018	J	`jnl`	Deployment of Customized Deep Learning based Video Analytics On Surveillance Cameras. CoRR Pratik Dubal, Rohan Mahadev, Suraj Kothawade, Kunal Dargan, Rishabh K. Iyer
2018	J	`jnl`	Jensen: An Easily-Extensible C++ Toolkit for Production-Level Machine Learning and Convex Optimization. CoRR Rishabh K. Iyer, John T. Halloran, Kai Wei
2018	J	`jnl`	Learning From Less Data: Diversified Subset Selection and Active Learning in Image Classification Tasks. CoRR Vishal Kaushal, Anurag Sahoo, Khoshrav Doctor, Narasimha Raju Uppalapati, Suyash Shetty, Pankaj Singh, Rishabh K. Iyer, Ganesh Ramakrishnan
2018	J	`jnl`	Modeling and Simultaneously Removing Bias via Adversarial Neural Networks. CoRR John Moore, Joel Pfeiffer, Kai Wei, Rishabh K. Iyer, Denis Charles, Ran Gilad-Bachrach, Levi Boyles, Eren Manavoglu
2018	J	`jnl`	Vis-DSS: An Open-Source toolkit for Visual Data Selection and Summarization. CoRR Rishabh K. Iyer, Pratik Dubal, Kunal Dargan, Suraj Kothawade, Rohan Mahadev, Vishal Kaushal
2017	J	`jnl`	A Unified Multi-Faceted Video Summarization System. CoRR Anurag Sahoo, Vishal Kaushal, Khoshrav Doctor, Suyash Shetty, Rishabh K. Iyer, Ganesh Ramakrishnan
2017	J	`jnl`	SVitchboard-II and FiSVer-I: Crafting high quality and low complexity conversational english speech corpora using submodular function optimization. Comput. Speech Lang. Yuzong Liu, Rishabh K. Iyer, Katrin Kirchhoff, Jeff A. Bilmes
2016	A*	`conf`	Algorithms for Optimizing the Ratio of Submodular Functions. ICML Wenruo Bai, Rishabh K. Iyer, Kai Wei, Jeff A. Bilmes
2015	J	`jnl`	Mixed Robust/Average Submodular Partitioning: Fast Algorithms, Guarantees, and Applications to Parallel Machine Learning and Multi-Label Image Segmentation. CoRR Kai Wei, Rishabh K. Iyer, Shengjie Wang, Wenruo Bai, Jeff A. Bilmes
2015	—	`conf`	Mixed Robust/Average Submodular Partitioning: Fast Algorithms, Guarantees, and Applications. NIPS Kai Wei, Rishabh K. Iyer, Shengjie Wang, Wenruo Bai, Jeff A. Bilmes
2015	A	`conf`	On Approximate Non-submodular Minimization via Tree-Structured Supermodularity. AISTATS Yoshinobu Kawahara, Rishabh K. Iyer, Jeff A. Bilmes
2015	J	`jnl`	Polyhedral aspects of Submodularity, Convexity and Concavity. CoRR Rishabh K. Iyer, Jeff A. Bilmes
2015	A	`conf`	SVitchboard II and fiSVer i: high-quality limited-complexity corpora of conversational English speech. INTERSPEECH Yuzong Liu, Rishabh K. Iyer, Katrin Kirchhoff, Jeff A. Bilmes
2015	—	`conf`	Submodular Hamming Metrics. NIPS Jennifer Gillenwater, Rishabh K. Iyer, Bethany Lusch, Rahul Kidambi, Jeff A. Bilmes
2015	J	`jnl`	Submodular Hamming Metrics. CoRR Jennifer Gillenwater, Rishabh K. Iyer, Bethany Lusch, Rahul Kidambi, Jeff A. Bilmes
2015	A	`conf`	Submodular Point Processes with Applications to Machine learning. AISTATS Rishabh K. Iyer, Jeff A. Bilmes
2015	A*	`conf`	Submodularity in Data Subset Selection and Active Learning. ICML Kai Wei, Rishabh K. Iyer, Jeff A. Bilmes
2015	—	`conf`	Summarization of Multi-Document Topic Hierarchies using Submodular Mixtures. ACL (1) Ramakrishna Bairi, Rishabh K. Iyer, Ganesh Ramakrishnan, Jeff A. Bilmes
2014	J	`jnl`	Algorithms for Approximate Minimization of the Difference Between Submodular Functions, with Applications. CoRR Rishabh K. Iyer, Jeff A. Bilmes
2014	A*	`conf`	Fast Multi-stage Submodular Maximization. ICML Kai Wei, Rishabh K. Iyer, Jeff A. Bilmes
2014	—	`conf`	Learning Mixtures of Submodular Functions for Image Collection Summarization. NIPS Sebastian Tschiatschek, Rishabh K. Iyer, Haochen Wei, Jeff A. Bilmes
2014	A	`conf`	Monotone Closure of Relaxed Constraints in Submodular Optimization: Connections Between Minimization and Maximization. UAI Rishabh K. Iyer, Stefanie Jegelka, Jeff A. Bilmes
2014	J	`jnl`	The Lovasz-Bregman Divergence and connections to rank aggregation, clustering, and web ranking. CoRR Rishabh K. Iyer, Jeff A. Bilmes
2013	—	`conf`	Curvature and Optimal Algorithms for Learning and Minimizing Submodular Functions. NIPS Rishabh K. Iyer, Stefanie Jegelka, Jeff A. Bilmes
2013	J	`jnl`	Curvature and Optimal Algorithms for Learning and Minimizing Submodular Functions. CoRR Rishabh K. Iyer, Stefanie Jegelka, Jeff A. Bilmes
2013	—	`conf`	Fast Semidifferential-based Submodular Function Optimization. ICML (3) Rishabh K. Iyer, Stefanie Jegelka, Jeff A. Bilmes
2013	J	`jnl`	Fast Semidifferential-based Submodular Function Optimization. CoRR Rishabh K. Iyer, Stefanie Jegelka, Jeff A. Bilmes
2013	—	`conf`	Submodular Optimization with Submodular Cover and Submodular Knapsack Constraints. NIPS Rishabh K. Iyer, Jeff A. Bilmes
2013	J	`jnl`	Submodular Optimization with Submodular Cover and Submodular Knapsack Constraints. CoRR Rishabh K. Iyer, Jeff A. Bilmes
2013	A	`conf`	The Lovasz-Bregman Divergence and connections to rank aggregation, clustering, and web ranking. UAI Rishabh K. Iyer, Jeff A. Bilmes
2013	J	`jnl`	The Lovasz-Bregman Divergence and connections to rank aggregation, clustering, and web ranking. CoRR Rishabh K. Iyer, Jeff A. Bilmes
2012	J	`jnl`	Algorithms for Approximate Minimization of the Difference Between Submodular Functions, with Applications CoRR Rishabh K. Iyer, Jeff A. Bilmes
2012	A	`conf`	Algorithms for Approximate Minimization of the Difference Between Submodular Functions, with Applications. UAI Rishabh K. Iyer, Jeff A. Bilmes
2012	—	`conf`	Submodular-Bregman and the Lovász-Bregman Divergences with Applications. NIPS Rishabh K. Iyer, Jeff A. Bilmes
2011	J	`jnl`	Estimation of the Embedding Capacity in Pixel-pair based Watermarking Schemes CoRR Rishabh K. Iyer, Rushikesh Borse, Ronak Shah, Subhasis Chaudhuri
2011	A	`conf`	Object Mining for Large Video data. BMVC Ronak Shah, Rishabh K. Iyer, Subhasis Chaudhuri