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ORCIDArash Afkanpour
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2020 – today
- 2024
[c4]Elahe Vedadi, Joshua V. Dillon, Philip Andrew Mansfield, Karan Singhal, Arash Afkanpour, Warren Richard Morningstar:
Federated Variational Inference: Towards Improved Personalization and Generalization. AAAI Spring Symposia 2024: 323-327- [i12]Arash Afkanpour, Vahid Reza Khazaie, Sana Ayromlou, Fereshteh Forghani:
Can Generative Models Improve Self-Supervised Representation Learning? CoRR abs/2403.05966 (2024) - [i11]Adibvafa Fallahpour, Mahshid Alinoori, Arash Afkanpour, Amrit Krishnan:
EHRMamba: Towards Generalizable and Scalable Foundation Models for Electronic Health Records. CoRR abs/2405.14567 (2024) - [i10]Shuvendu Roy, Elham Dolatabadi, Arash Afkanpour, Ali Etemad:
Few-shot Tuning of Foundation Models for Class-incremental Learning. CoRR abs/2405.16625 (2024) - [i9]Shuvendu Roy, Yasaman Parhizkar, Franklin Ogidi, Vahid Reza Khazaie, Michael Colacci, Ali Etemad, Elham Dolatabadi, Arash Afkanpour:
Benchmarking Vision-Language Contrastive Methods for Medical Representation Learning. CoRR abs/2406.07450 (2024) - 2023
- [i8]Elahe Vedadi, Joshua V. Dillon, Philip Andrew Mansfield, Karan Singhal, Arash Afkanpour, Warren Richard Morningstar:
Federated Variational Inference: Towards Improved Personalization and Generalization. CoRR abs/2305.13672 (2023) - [i7]Philip Andrew Mansfield, Arash Afkanpour, Warren Richard Morningstar, Karan Singhal:
Random Field Augmentations for Self-Supervised Representation Learning. CoRR abs/2311.03629 (2023) - 2022
- [c3]Arash Afkanpour, Shabir Adeel, Hansenclever Bassani, Arkady Epshteyn, Hongbo Fan, Isaac Jones, Mahan Malihi, Adrian Nauth, Raj Sinha, Sanjana Woonna, Shiva Zamani, Elli Kanal, Mikhail Fomitchev, Donny Cheung:
BERT for Long Documents: A Case Study of Automated ICD Coding. LOUHI@EMNLP 2022: 100-107 - [i6]Raviteja Vemulapalli, Warren Richard Morningstar, Philip Andrew Mansfield, Hubert Eichner, Karan Singhal, Arash Afkanpour, Bradley Green:
Federated Training of Dual Encoding Models on Small Non-IID Client Datasets. CoRR abs/2210.00092 (2022) - [i5]Arash Afkanpour, Shabir Adeel, Hansenclever Bassani, Arkady Epshteyn, Hongbo Fan, Isaac Jones, Mahan Malihi, Adrian Nauth, Raj Sinha, Sanjana Woonna, Shiva Zamani, Elli Kanal, Mikhail Fomitchev, Donny Cheung:
BERT for Long Documents: A Case Study of Automated ICD Coding. CoRR abs/2211.02519 (2022) - 2021
- [i4]Michal Lisicki, Arash Afkanpour, Graham W. Taylor:
An Empirical Study of Neural Kernel Bandits. CoRR abs/2111.03543 (2021) - 2020
- [i3]Michal Lisicki, Arash Afkanpour, Graham W. Taylor:
Evaluating Curriculum Learning Strategies in Neural Combinatorial Optimization. CoRR abs/2011.06188 (2020)
2010 – 2019
- 2013
- [j1]Arash Afkanpour, Csaba Szepesvári, Michael Bowling:
Alignment based kernel learning with a continuous set of base kernels. Mach. Learn. 91(3): 305-324 (2013) - [c2]Arash Afkanpour, András György, Csaba Szepesvári, Michael Bowling:
A Randomized Mirror Descent Algorithm for Large Scale Multiple Kernel Learning. ICML (1) 2013: 374-382 - 2012
- [i2]Arash Afkanpour, András György, Csaba Szepesvári, Michael H. Bowling:
A Randomized Strategy for Learning to Combine Many Features. CoRR abs/1205.0288 (2012) - 2011
- [i1]Arash Afkanpour, Csaba Szepesvári, Michael H. Bowling:
Alignment Based Kernel Learning with a Continuous Set of Base Kernels. CoRR abs/1112.4607 (2011)
2000 – 2009
- 2005
- [c1]Arash Afkanpour, Saeed Bagheri Shouraki:
Opponent Modeling in Adversarial Environments through Learning Ingenuity. SOAS 2005: 50-61
Coauthor Index
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