| Evaluating curriculum learning strategies in neural combinatorial optimization M Lisicki, A Afkanpour, GW Taylor arXiv preprint arXiv:2011.06188, 2020 | 21 | 2020 |
| A randomized mirror descent algorithm for large scale multiple kernel learning A Afkanpour, A György, C Szepesvári, M Bowling International conference on machine learning, 374-382, 2013 | 16 | 2013 |
| Bert for long documents: A case study of automated icd coding A Afkanpour, S Adeel, H Bassani, A Epshteyn, H Fan, I Jones, M Malihi, ... Proceedings of the 13th International Workshop on Health Text Mining and …, 2022 | 15 | 2022 |
| Alignment based kernel learning with a continuous set of base kernels A Afkanpour, C Szepesvári, M Bowling Machine learning 91, 305-324, 2013 | 15 | 2013 |
| An empirical study of neural kernel bandits M Lisicki, A Afkanpour, GW Taylor NeurIPS Workshop on Bayesian Deep Learning, 2021 | 5 | 2021 |
| Ehrmamba: Towards generalizable and scalable foundation models for electronic health records A Fallahpour, M Alinoori, W Ye, X Cao, A Afkanpour, A Krishnan arXiv preprint arXiv:2405.14567, 2024 | 4 | 2024 |
| Can Generative Models Improve Self-Supervised Representation Learning? S Ayromlou, VR Khazaie, F Forghani, A Afkanpour AAAI 2025, 2024 | 2* | 2024 |
| Random field augmentations for self-supervised representation learning PA Mansfield, A Afkanpour, WR Morningstar, K Singhal arXiv preprint arXiv:2311.03629, 2023 | 2 | 2023 |
| Federated Variational Inference: Towards Improved Personalization and Generalization E Vedadi, JV Dillon, PA Mansfield, K Singhal, A Afkanpour, ... Proceedings of the AAAI Symposium Series 3 (1), 323-327, 2024 | 1 | 2024 |
| Federated training of dual encoding models on small non-iid client datasets R Vemulapalli, WR Morningstar, PA Mansfield, H Eichner, K Singhal, ... arXiv preprint arXiv:2210.00092, 2022 | 1 | 2022 |
| Multiple Kernel Learning with Many Kernels A Afkanpour University of Alberta (Canada), 2013 | 1 | 2013 |
| A randomized strategy for learning to combine many features A Afkanpour, A György, C Szepesvári, MH Bowling CoRR, abs/1205.0288, 2012 | 1 | 2012 |
| Benchmarking Vision-Language Contrastive Methods for Medical Representation Learning S Roy, Y Parhizkar, F Ogidi, VR Khazaie, M Colacci, A Etemad, ... arXiv preprint arXiv:2406.07450, 2024 | | 2024 |
| Few-shot Tuning of Foundation Models for Class-incremental Learning S Roy, E Dolatabadi, A Afkanpour, A Etemad arXiv preprint arXiv:2405.16625, 2024 | | 2024 |
| Continual Learning of Foundation Models with Limited Labelled Data S Roy, E Dolatabadi, A Afkanpour, A Etemad NeurIPS Workshop on Scalable Continual Learning for Lifelong Foundation Models, 2024 | | 2024 |
| Empirical analysis of representation learning and exploration in neural kernel bandits M Lisicki, A Afkanpour, GW Taylor arXiv preprint arXiv:2111.03543, 2021 | | 2021 |
| A Randomized Strategy for Learning to Combine Many A Afkanpour, A György, C Szepesvári, M Bowling arXiv preprint arXiv:1205.0288, 2012 | | 2012 |
| Opponent Modeling in Adversarial Environments through Learning Ingenuity A Afkanpour, S Bagheri Shouraki Self-organization and Autonomic Informatics (I) 1, 50, 2005 | | 2005 |
| 50 Self-Organization and Autonomic Informatics (1) H. Czap et al.(Eds.) IOS Press, 2005© 2005 The authors. All rights reserved. A AFKANPOUR, SB SHOURAKI Self-organization and Autonomic Informatics (I) 1, 50, 2005 | | 2005 |
Csaba SzepesvariDeepMind & University of AlbertaDirección de correo verificada de cs.ualberta.ca