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Arash Afkanpour

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Random Field Augmentations for Self-Supervised Representation Learning

Nov 07, 2023
Philip Andrew Mansfield, Arash Afkanpour, Warren Richard Morningstar, Karan Singhal

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Federated Variational Inference: Towards Improved Personalization and Generalization

May 25, 2023
Elahe Vedadi, Joshua V. Dillon, Philip Andrew Mansfield, Karan Singhal, Arash Afkanpour, Warren Richard Morningstar

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BERT for Long Documents: A Case Study of Automated ICD Coding

Nov 04, 2022
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

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Federated Training of Dual Encoding Models on Small Non-IID Client Datasets

Sep 30, 2022
Raviteja Vemulapalli, Warren Richard Morningstar, Philip Andrew Mansfield, Hubert Eichner, Karan Singhal, Arash Afkanpour, Bradley Green

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An Empirical Study of Neural Kernel Bandits

Nov 05, 2021
Michal Lisicki, Arash Afkanpour, Graham W. Taylor

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Evaluating Curriculum Learning Strategies in Neural Combinatorial Optimization

Nov 12, 2020
Michal Lisicki, Arash Afkanpour, Graham W. Taylor

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A Randomized Mirror Descent Algorithm for Large Scale Multiple Kernel Learning

Jan 07, 2013
Arash Afkanpour, András György, Csaba Szepesvári, Michael Bowling

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Alignment Based Kernel Learning with a Continuous Set of Base Kernels

Dec 20, 2011
Arash Afkanpour, Csaba Szepesvari, Michael Bowling

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