Arash Afkanpour

Publication Activity (10 Years)

Years Active: 2005-2024
Publications (10 Years): 12

Top Topics

Legal Documents

Variational Inference

Incremental Learning

Electronic Health Records

Top Venues

AAAI Spring Symposia

Publications

Adibvafa Fallahpour, Mahshid Alinoori, Arash Afkanpour, Amrit Krishnan
EHRMamba: Towards Generalizable and Scalable Foundation Models for Electronic Health Records. CoRR (2024)
Arash Afkanpour, Vahid Reza Khazaie, Sana Ayromlou, Fereshteh Forghani
Can Generative Models Improve Self-Supervised Representation Learning? CoRR (2024)
Shuvendu Roy, Elham Dolatabadi, Arash Afkanpour, Ali Etemad
Few-shot Tuning of Foundation Models for Class-incremental Learning. CoRR (2024)
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)
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 (2024)
Elahe Vedadi, Joshua V. Dillon, Philip Andrew Mansfield, Karan Singhal, Arash Afkanpour, Warren Richard Morningstar
Federated Variational Inference: Towards Improved Personalization and Generalization. CoRR (2023)
Philip Andrew Mansfield, Arash Afkanpour, Warren Richard Morningstar, Karan Singhal
Random Field Augmentations for Self-Supervised Representation Learning. CoRR (2023)
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)
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 (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
BERT for Long Documents: A Case Study of Automated ICD Coding. CoRR (2022)
Michal Lisicki, Arash Afkanpour, Graham W. Taylor
An Empirical Study of Neural Kernel Bandits. CoRR (2021)
Michal Lisicki, Arash Afkanpour, Graham W. Taylor
Evaluating Curriculum Learning Strategies in Neural Combinatorial Optimization. CoRR (2020)
Arash Afkanpour, Csaba Szepesvári, Michael Bowling
Alignment based kernel learning with a continuous set of base kernels. Mach. Learn. 91 (3) (2013)
Arash Afkanpour, András György, Csaba Szepesvári, Michael Bowling
A Randomized Mirror Descent Algorithm for Large Scale Multiple Kernel Learning. ICML (1) (2013)
Arash Afkanpour, András György, Csaba Szepesvári, Michael H. Bowling
A Randomized Strategy for Learning to Combine Many Features CoRR (2012)
Arash Afkanpour, Csaba Szepesvári, Michael H. Bowling
Alignment Based Kernel Learning with a Continuous Set of Base Kernels CoRR (2011)
Arash Afkanpour, Saeed Bagheri Shouraki
Opponent Modeling in Adversarial Environments through Learning Ingenuity. SOAS (2005)