Rishabh K. Iyer
Orcid: 0000-0001-9851-463XAffiliations:
- University of Texas at Dallas, TX, USA
According to our database1,
Rishabh K. Iyer
authored at least 93 papers
between 2011 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
STENCIL: Submodular Mutual Information Based Weak Supervision for Cold-Start Active Learning.
CoRR, 2024
Theoretical Analysis of Submodular Information Measures for Targeted Data Subset Selection.
CoRR, 2024
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024
Beyond Active Learning: Leveraging the Full Potential of Human Interaction via Auto-Labeling, Human Correction, and Human Verification.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024
2023
SCoRe: Submodular Combinatorial Representation Learning for Real-World Class-Imbalanced Settings.
CoRR, 2023
CoRR, 2023
INGENIOUS: Using Informative Data Subsets for Efficient Pre-Training of Large Language Models.
CoRR, 2023
MILO: Model-Agnostic Subset Selection Framework for Efficient Model Training and Tuning.
CoRR, 2023
Efficient Data Subset Selection to Generalize Training Across Models: Transductive and Inductive Networks.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Discrete Continuous Optimization Framework for Simultaneous Clustering and Training in Mixture Models.
Proceedings of the International Conference on Machine Learning, 2023
INGENIOUS: Using Informative Data Subsets for Efficient Pre-Training of Language Models.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023
2022
Generalized Submodular Information Measures: Theoretical Properties, Examples, Optimization Algorithms, and Applications.
IEEE Trans. Inf. Theory, 2022
CoRR, 2022
CoRR, 2022
CoRR, 2022
AUTOMATA: Gradient Based Data Subset Selection for Compute-Efficient Hyper-parameter Tuning.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
ORIENT: Submodular Mutual Information Measures for Data Subset Selection under Distribution Shift.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Proceedings of the Medical Image Learning with Limited and Noisy Data, 2022
Proceedings of the Medical Image Learning with Limited and Noisy Data, 2022
PLATINUM: Semi-Supervised Model Agnostic Meta-Learning using Submodular Mutual Information.
Proceedings of the International Conference on Machine Learning, 2022
Proceedings of the IEEE International Conference on Data Mining, 2022
Partitioned Gradient Matching-based Data Subset Selection for Compute-Efficient Robust ASR Training.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022
Proceedings of the The 2022 Conference on Empirical Methods in Natural Language Processing, 2022
Talisman: Targeted Active Learning for Object Detection with Rare Classes and Slices Using Submodular Mutual Information.
Proceedings of the Computer Vision - ECCV 2022, 2022
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022
Learning to Robustly Aggregate Labeling Functions for Semi-supervised Data Programming.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022
PRISM: A Rich Class of Parameterized Submodular Information Measures for Guided Data Subset Selection.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022
2021
CoRR, 2021
PRISM: A Unified Framework of Parameterized Submodular Information Measures for Targeted Data Subset Selection and Summarization.
CoRR, 2021
CoRR, 2021
How Good is a Video Summary? A New Benchmarking Dataset and Evaluation Framework Towards Realistic Video Summarization.
CoRR, 2021
A Practical Online Framework for Extracting Running Video Summaries under a Fixed Memory Budget.
Proceedings of the 2021 SIAM International Conference on Data Mining, 2021
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
SIMILAR: Submodular Information Measures Based Active Learning In Realistic Scenarios.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Proceedings of the IEEE International Symposium on Information Theory, 2021
Proceedings of the 38th International Conference on Machine Learning, 2021
GRAD-MATCH: Gradient Matching based Data Subset Selection for Efficient Deep Model Training.
Proceedings of the 38th International Conference on Machine Learning, 2021
A Clustering based Selection Framework for Cost Aware and Test-time Feature Elicitation.
Proceedings of the CODS-COMAD 2021: 8th ACM IKDD CODS and 26th COMAD, 2021
Proceedings of the Algorithmic Learning Theory, 2021
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021
GLISTER: Generalization based Data Subset Selection for Efficient and Robust Learning.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
2020
A Unified Framework for Generic, Query-Focused, Privacy Preserving and Update Summarization using Submodular Information Measures.
CoRR, 2020
Realistic Video Summarization through VISIOCITY: A New Benchmark and Evaluation Framework.
Proceedings of the AI4TV '20: Proceedings of the 2nd International Workshop on AI for Smart TV Content Production, 2020
Proceedings of the ACM SIGKDD Workshop on Knowledge-infused Mining and Learning for Social Impact co-located with 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (Virtual) (SIGKDD 2020), 2020
Proceedings of the IEEE International Symposium on Information Theory, 2020
Proceedings of the Computer Vision - ECCV 2020 Workshops, 2020
Proceedings of the ECAI 2020 - 24th European Conference on Artificial Intelligence, 29 August-8 September 2020, Santiago de Compostela, Spain, August 29 - September 8, 2020, 2020
2019
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2019
Learning From Less Data: A Unified Data Subset Selection and Active Learning Framework for Computer Vision.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2019
Demystifying Multi-Faceted Video Summarization: Tradeoff Between Diversity, Representation, Coverage and Importance.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2019
Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019
Near Optimal Algorithms for Hard Submodular Programs with Discounted Cooperative Costs.
Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019
2018
CoRR, 2018
Jensen: An Easily-Extensible C++ Toolkit for Production-Level Machine Learning and Convex Optimization.
CoRR, 2018
Learning From Less Data: Diversified Subset Selection and Active Learning in Image Classification Tasks.
CoRR, 2018
Deployment of Customized Deep Learning based Video Analytics On Surveillance Cameras.
CoRR, 2018
CoRR, 2018
2017
SVitchboard-II and FiSVer-I: Crafting high quality and low complexity conversational english speech corpora using submodular function optimization.
Comput. Speech Lang., 2017
2016
Proceedings of the 33nd International Conference on Machine Learning, 2016
2015
Mixed Robust/Average Submodular Partitioning: Fast Algorithms, Guarantees, and Applications to Parallel Machine Learning and Multi-Label Image Segmentation.
CoRR, 2015
Mixed Robust/Average Submodular Partitioning: Fast Algorithms, Guarantees, and Applications.
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015
SVitchboard II and fiSVer i: high-quality limited-complexity corpora of conversational English speech.
Proceedings of the INTERSPEECH 2015, 2015
Proceedings of the 32nd International Conference on Machine Learning, 2015
Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, 2015
Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, 2015
Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing, 2015
2014
Monotone Closure of Relaxed Constraints in Submodular Optimization: Connections Between Minimization and Maximization.
Proceedings of the Thirtieth Conference on Uncertainty in Artificial Intelligence, 2014
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014
Proceedings of the 31th International Conference on Machine Learning, 2014
2013
The Lovasz-Bregman Divergence and connections to rank aggregation, clustering, and web ranking.
Proceedings of the Twenty-Ninth Conference on Uncertainty in Artificial Intelligence, 2013
Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013
Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013
Proceedings of the 30th International Conference on Machine Learning, 2013
2012
Algorithms for Approximate Minimization of the Difference Between Submodular Functions, with Applications.
Proceedings of the Twenty-Eighth Conference on Uncertainty in Artificial Intelligence, 2012
Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012
2011
CoRR, 2011
Proceedings of the British Machine Vision Conference, 2011