| Domain generalization by marginal transfer learning G Blanchard, AA Deshmukh, Ü Dogan, G Lee, C Scott The Journal of Machine Learning Research 22 (1), 46-100, 2021 | 271 | 2021 |
| Multi-task learning for contextual bandits AA Deshmukh, U Dogan, C Scott Advances in Neural Information Processing Systems, 4848-4856, 2017 | 99 | 2017 |
| A Generalization Error Bound for Multi-class Domain Generalization AA Deshmukh, Y Lei, S Sharma, U Dogan, JW Cutler, C Scott arXiv preprint arXiv:1905.10392, 2019 | 35 | 2019 |
| Consensus Clustering with Unsupervised Representation Learning JR Regatti, AA Deshmukh, E Manavoglu, U Dogan IJCNN 2021 arXiv preprint arXiv:2010.01245, 2020 | 23 | 2020 |
| Label-similarity Curriculum Learning U Dogan, AA Deshmukh, M Machura, C Igel European Conference on Computer Vision, 174--190, 2020 | 22 | 2020 |
| Simple Regret Minimization for Contextual Bandits AA Deshmukh, S Sharma, JW Cutler, M Moldwin, C Scott Exploration in RL, ICML 2019 workshop arXiv preprint arXiv:1810.07371, 2018 | 22 | 2018 |
| Zero Shot Domain Generalization U Maniyar, AA Deshmukh, U Dogan, VN Balasubramanian British machine vision conference 2020 arXiv preprint arXiv:2008.07443, 2020 | 20 | 2020 |
| Representation Learning for Clustering via Building Consensus AA Deshmukh, JR Regatti, E Manavoglu, U Dogan Springer Maching Learning Journal, 2022 | 12 | 2022 |
| Domain2Vec: Deep Domain Generalization AA Deshmukh, A Bansal, A Rastogi arXiv preprint arXiv:1807.02919, 2018 | 9 | 2018 |
| Semi-Supervised Transfer Learning Using Marginal Predictors AA Deshmukh, E Laftchiev 2018 IEEE Data Science Workshop (DSW), 160-164, 2018 | 9 | 2018 |
| On Challenges in Unsupervised Domain Generalization V Narayanan, AA Deshmukh, U Dogan, VN Balasubramanian NeurIPS 2021 Workshop on Pre-registration in Machine Learning, 42-58, 2022 | 6 | 2022 |
| Multiclass domain generalization AA Deshmukh, S Sharma, JW Cutler, C Scott NeurIPS workshop on limited labeled data, 2017 | 6 | 2017 |
| Head and Tail Localization of C. elegans M Mane, AA Deshmukh, A Iliff ICML Workshop on Computational Biology, 2019 | 5 | 2019 |
| Offline RL With Resource Constrained Online Deployment JR Regatti, AA Deshmukh, F Cheng, YH Jung, A Gupta, U Dogan arXiv preprint arXiv:2110.03165, 2021 | 4 | 2021 |
| PAC Reinforcement Learning without Real-World Feedback Y Zhong, AA Deshmukh, C Scott arXiv preprint arXiv:1909.10449, 2019 | 4 | 2019 |
| Kernel Approximation AA Deshmukh Ann Arbor 1001, 48105, 2015 | 4 | 2015 |
| Input-Output Logic based Fault-Tolerant Design Technique for SRAM-based FPGAs AS Timmaraju, AA Deshmukh, MA Khan, ZA Khan arXiv preprint arXiv:1311.0602, 2013 | 4 | 2013 |
| Self-Supervised Contextual Bandits in Computer Vision AA Deshmukh, A Kumar, L Boyles, D Charles, E Manavoglu, U Dogan arXiv preprint arXiv:2003.08485, 2020 | 3 | 2020 |
| Machine Learning Algorithms for Spacecraft Magnetic Field Interference Cancellation: Enabling Satellite Magnetometry without a Boom JC Mark Moldwin, Srinagesh Sharma, Aniket Anand Deshmukh, Clayton Scott AGU Fall Meeting 2018, 2018 | 2* | 2018 |
| Hyperparameter Selection for Multi-armed Bandit Problems A Deshmukh, F Wei, C Scott The 3rd Annual Michigan Institute for Data Science Symposium, 2017 | 2 | 2017 |
