Keerthiram Murugesan
Keerthiram Murugesan
Research Scientist, IBM Research AI/ Carnegie Mellon University
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Citado por
Citado por
Adaptive Smoothed Online Multi-Task Learning
K Murugesan, H Liu, J Carbonell, Y Yang
Advances in Neural Information Processing Systems (NIPS 2016), 2016
Hybrid bisect K-means clustering algorithm
K Murugesan, J Zhang
2011 International Conference on Business Computing and Global …, 2011
Self-Paced Multitask Learning with Shared Knowledge
K Murugesan, J Carbonell
Proceedings of the 26th International Joint Conference on Artificial …, 2017
Active learning from peers
K Murugesan, J Carbonell
Advances in neural information processing systems, 7008-7017, 2017
Hybrid hierarchical clustering: An experimental analysis
K Murugesan, J Zhang
University of Kentucky, Lexington. Technical Report, 2011, 2011
Multitask Matrix Completion for Learning Protein Interactions Across Diseases
M Kshirsagar, J Carbonell, J Klein-Seetharaman, K Murugesan
International Conference on Research in Computational Molecular Biology …, 2016
Multi-Task Multiple Kernel Relationship Learning
K Murugesan, J Carbonell
Proceedings of the 17th SIAM International Conference on Data Mining (SDM …, 2017
A New Term Weighting Scheme for Document Clustering
K Murugesan, J Zhang
Co-clustering for multitask learning
K Murugesan, J Carbonell, Y Yang
arXiv preprint arXiv:1703.00994, 2017
Enhancing Text-based Reinforcement Learning Agents with Commonsense Knowledge
K Murugesan, M Atzeni, P Shukla, M Sachan, P Kapanipathi, ...
arXiv preprint arXiv:2005.00811, 2020
Cluster-Based Term Weighting and Document Ranking Models
K Murugesan
University of Kentucky, 2011
A marker for personalised feedback on dieting: Angiotensin Converting Enzyme
S Tejpal, N Sanghera, V Manoharan, J Planas-Iglesias, ...
Proceedings of the Nutrition Society 78 (OCE2), 2019
Thinking Fast and Slow in AI
G Booch, F Fabiano, L Horesh, K Kate, J Lenchner, N Linck, A Loreggia, ...
arXiv preprint arXiv:2010.06002, 2020
Online and Adaptive Methods for Multitask Learning
K Murugesan
Carnegie Mellon University Pittsburgh, PA, 2018
Lifelong learning with output kernels
K Murugesan, J Carbonell
Text-based RL Agents with Commonsense Knowledge: New Challenges, Environments and Baselines
K Murugesan, M Atzeni, P Kapanipathi, P Shukla, S Kumaravel, ...
arXiv preprint arXiv:2010.03790, 2020
Predicting Workplace Incidents with Temporal Graph-guided Fused Lasso
K Murugesan, J Carbonell
Scalable Multitask and Lifelong Learning
K Murugesan
Supplementary Material for Active Learning from Peers
K Murugesan, J Carbonell
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Artículos 1–19