| 42. Automated deep aberration detection from chromosome karyotype images M Fang, Z Shamsi, D Bryant, J Wilson, X Qu, A Dubey, K Kothari, ... Cancer Genetics 278, 13, 2023 | | 2023 |
| A cluster-level semi-supervision model for interactive clustering A Dubey, I Bhattacharya, S Godbole Joint European Conference on Machine Learning and Knowledge Discovery in …, 2010 | 41 | 2010 |
| A fourier approach to mixture learning M Qiao, G Guruganesh, A Rawat, KA Dubey, M Zaheer Advances in Neural Information Processing Systems 35, 20850-20861, 2022 | 7 | 2022 |
| A nonparametric mixture model for topic modeling over time A Dubey, A Hefny, S Williamson, EP Xing Proceedings of the 2013 SIAM international conference on data mining, 530-538, 2013 | 81 | 2013 |
| Attention neural networks with sparse attention mechanisms JT Ainslie, S Ontañón, P Pham, M Zaheer, G Guruganesh, KA Dubey, ... US Patent App. 17/589,542, 2022 | | 2022 |
| Attention neural networks with sparse attention mechanisms JT Ainslie, S Ontañón, P Pham, M Zaheer, G Guruganesh, KA Dubey, ... US Patent 11,238,332, 2022 | 2 | 2022 |
| Auctions with LLM Summaries KA Dubey, Z Feng, R Kidambi, A Mehta, D Wang arXiv preprint arXiv:2404.08126, 2024 | 3 | 2024 |
| AUSUM S Mani, R Catherine, VS Sinha, A Dubey Proceedings of the ACM SIGSOFT 20th International Symposium on the …, 2012 | | 2012 |
| Ausum: approach for unsupervised bug report summarization S Mani, R Catherine, VS Sinha, A Dubey Proceedings of the ACM SIGSOFT 20th International Symposium on the …, 2012 | 152 | 2012 |
| Automated Deep Aberration Detection from Chromosome Karyotype Images. Z Shamsi, D Bryant, J Wilson, X Qu, A Dubey, K Kothari, M Dehghani, ... URL: http://arxiv. org/abs/2211.14312, 2022 | 1 | 2022 |
| Bayesian nonparametric kernel-learning JB Oliva, A Dubey, AG Wilson, B Póczos, J Schneider, EP Xing Artificial intelligence and statistics, 1078-1086, 2016 | 84 | 2016 |
| Big bird: Transformers for longer sequences M Zaheer, G Guruganesh, A Dubey, J Ainslie, C Alberti, S Ontanon, ... Advances in neural information processing systems 33, 17283-17297, 2020 | 2019 | 2020 |
| Big bird: Transformers for longer sequences. arXiv 2020 M Zaheer, G Guruganesh, A Dubey, J Ainslie, C Alberti, S Ontanon, ... arXiv preprint arXiv:2007.14062, 2007 | 10 | 2007 |
| Chefs' random tables: Non-trigonometric random features V Likhosherstov, KM Choromanski, KA Dubey, F Liu, T Sarlos, A Weller Advances in Neural Information Processing Systems 35, 34559-34573, 2022 | 15 | 2022 |
| Comparative Study of Experimental and Theoretical Ultrasonic Velocities of Ternary Liquid Mixtures at Different Temperatures S Balakrishnan, R Palani Journal of Pure Applied and Industrial Physics 5 (2), 25-31, 2015 | | 2015 |
| Conditional models for non-smooth ranking loss functions A Dubey, J Machchhar, C Bhattacharyya, S Chakrabarti 2009 Ninth IEEE International Conference on Data Mining, 129-138, 2009 | 7 | 2009 |
| Conditioned Language Policy: A General Framework for Steerable Multi-Objective Finetuning K Wang, R Kidambi, R Sullivan, A Agarwal, C Dann, A Michi, M Gelmi, ... arXiv preprint arXiv:2407.15762, 2024 | | 2024 |
| Contextual explanation networks M Al-Shedivat, A Dubey, E Xing Journal of Machine Learning Research 21 (194), 1-44, 2020 | 100 | 2020 |
| Dag-structured clustering by nearest neighbors N Monath, M Zaheer, KA Dubey, A Ahmed, A McCallum International Conference on Artificial Intelligence and Statistics, 2854-2862, 2021 | 3 | 2021 |
| Dense-exponential random features: sharp positive estimators of the Gaussian kernel V Likhosherstov, KM Choromanski, KA Dubey, F Liu, T Sarlos, A Weller Advances in Neural Information Processing Systems 36, 2024 | 1 | 2024 |
Eric XingPresident at Mohamed bin Zayed University of AI, Professor of Computer Science, Carnegie Mellon UVerified email at cs.cmu.edu