| Adaptive Smoothed Online Multi-Task Learning K Murugesan, H Liu, J Carbonell, Y Yang Advances in Neural Information Processing Systems (NIPS 2016), 2016 | 37 | 2016 |
| Hybrid bisect K-means clustering algorithm K Murugesan, J Zhang 2011 International Conference on Business Computing and Global …, 2011 | 35 | 2011 |
| Self-Paced Multitask Learning with Shared Knowledge K Murugesan, J Carbonell Proceedings of the 26th International Joint Conference on Artificial …, 2017 | 34 | 2017 |
| Thinking Fast and Slow in AI G Booch, F Fabiano, L Horesh, K Kate, J Lenchner, N Linck, A Loreggia, ... Proceedings of the 35th AAAI Conference on Artificial Intelligence, 2021 | 24 | 2021 |
| Text-based RL Agents with Commonsense Knowledge: New Challenges, Environments and Baselines K Murugesan, M Atzeni, P Kapanipathi, P Shukla, S Kumaravel, ... Proceedings of the 35th AAAI Conference on Artificial Intelligence, 2021 | 23 | 2021 |
| 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 | 22 | 2020 |
| Active learning from peers K Murugesan, J Carbonell Advances in Neural Information Processing Systems 30, 2017 | 22 | 2017 |
| Hybrid hierarchical clustering: An experimental analysis K Murugesan, J Zhang University of Kentucky, Lexington, Technical Report: CMIDA-HiPSCCS, 001-11, 2011 | 19 | 2011 |
| Multi-Task Multiple Kernel Relationship Learning K Murugesan, J Carbonell Proceedings of the 17th SIAM International Conference on Data Mining (SDM …, 2017 | 15 | 2017 |
| 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 | 14 | 2016 |
| Co-clustering for multitask learning K Murugesan, J Carbonell, Y Yang arXiv preprint arXiv:1703.00994, 2017 | 13 | 2017 |
| A New Term Weighting Scheme for Document Clustering K Murugesan, J Zhang | 11 | 2011 |
| Cluster-Based Term Weighting and Document Ranking Models K Murugesan University of Kentucky, 2011 | 4 | 2011 |
| Eye of the Beholder: Improved Relation Generalization for Text-based Reinforcement Learning Agents K Murugesan, S Chaudhury, K Talamadupula Proceedings of the 36th AAAI Conference on Artificial Intelligence, 2022 | 2 | 2022 |
| A hybrid neuro-symbolic approach for text-based games using inductive logic programming K Basu, K Murugesan, M Atzeni, P Kapanipathi, K Talamadupula, ... Combining Learning and Reasoning: Programming Languages, Formalisms, and …, 2021 | 1 | 2021 |
| Efficient Text-based Reinforcement Learning by Jointly Leveraging State and Commonsense Graph Representations K Murugesan, M Atzeni, P Kapanipathi, K Talamadupula, M Sachan, ... Proceedings of the 59th Annual Meeting of the Association for Computational …, 2021 | 1 | 2021 |
| Online and adaptive methods for multitask learning K Murugesan | 1 | 2017 |
| Auto-Transfer: Learning to Route Transferrable Representations K Murugesan, V Sadashivaiah, R Luss, K Shanmugam, PY Chen, ... Proceedings of 10th International Conference on Learning Representations …, 2022 | | 2022 |
| Case-based Reasoning for Better Generalization in Text-Adventure Games M Atzeni, S Dhuliawala, K Murugesan, M Sachan Proceedings of 10th International Conference on Learning Representations …, 2021 | | 2021 |
| Case-based reasoning for better generalization in textual reinforcement learning M Atzeni, SZ Dhuliawala, K Murugesan, M Sachan International Conference on Learning Representations, 2021 | | 2021 |
