Arash Afkanpour

27 papers A* 1Journal 19Unranked 7

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	A Shared Encoder Approach to Multimodal Representation Learning. CoRR Shuvendu Roy, Franklin Ogidi, Ali Etemad, Elham Dolatabadi, Arash Afkanpour
2025	—	`conf`	Advancing Medical Representation Learning Through High-Quality Data. MICCAI (13) Negin Baghbanzadeh, Adibvafa Fallahpour, Yasaman Parhizkar, Franklin Ogidi, Shuvendu Roy, Sajad Ashkezari, Vahid Reza Khazaie, Michael Colacci, Ali Etemad, Arash Afkanpour, Elham Dolatabadi
2025	J	`jnl`	Advancing Medical Representation Learning Through High-Quality Data. CoRR Negin Baghbanzadeh, Adibvafa Fallahpour, Yasaman Parhizkar, Franklin Ogidi, Shuvendu Roy, Sajad Ashkezari, Vahid Reza Khazaie, Michael Colacci, Ali Etemad, Arash Afkanpour, Elham Dolatabadi
2025	J	`jnl`	Automated Capability Evaluation of Foundation Models. CoRR Arash Afkanpour, Omkar Dige, Fatemeh Tavakoli
2025	A*	`conf`	Can Generative Models Improve Self-Supervised Representation Learning? AAAI Sana Ayromlou, Vahid Reza Khazaie, Fereshteh Forghani, Arash Afkanpour
2025	J	`jnl`	Consistency-Guided Asynchronous Contrastive Tuning for Few-Shot Class-Incremental Tuning of Foundation Models. Trans. Mach. Learn. Res. Shuvendu Roy, Elham Dolatabadi, Arash Afkanpour, Ali Etemad
2025	J	`jnl`	Open-PMC-18M: A High-Fidelity Large Scale Medical Dataset for Multimodal Representation Learning. CoRR Negin Baghbanzadeh, Sajad Ashkezari, Elham Dolatabadi, Arash Afkanpour
2024	J	`jnl`	Benchmarking Vision-Language Contrastive Methods for Medical Representation Learning. CoRR Shuvendu Roy, Yasaman Parhizkar, Franklin Ogidi, Vahid Reza Khazaie, Michael Colacci, Ali Etemad, Elham Dolatabadi, Arash Afkanpour
2024	J	`jnl`	Can Generative Models Improve Self-Supervised Representation Learning? CoRR Arash Afkanpour, Vahid Reza Khazaie, Sana Ayromlou, Fereshteh Forghani
2024	—	`conf`	EHRMamba: Towards Generalizable and Scalable Foundation Models for Electronic Health Records. ML4H@NeurIPS Adibvafa Fallahpour, Mahshid Alinoori, Wenqian Ye, Xu Cao, Arash Afkanpour, Amrit Krishnan
2024	J	`jnl`	EHRMamba: Towards Generalizable and Scalable Foundation Models for Electronic Health Records. CoRR Adibvafa Fallahpour, Mahshid Alinoori, Arash Afkanpour, Amrit Krishnan
2024	—	`conf`	Federated Variational Inference: Towards Improved Personalization and Generalization. AAAI Spring Symposia Elahe Vedadi, Joshua V. Dillon, Philip Andrew Mansfield, Karan Singhal, Arash Afkanpour, Warren Richard Morningstar
2024	J	`jnl`	Federated Variational Inference: Towards Improved Personalization and Generalization. Trans. Mach. Learn. Res. Elahe Vedadi, Joshua V. Dillon, Philip Andrew Mansfield, Karan Singhal, Arash Afkanpour, Warren Richard Morningstar
2024	J	`jnl`	Few-shot Tuning of Foundation Models for Class-incremental Learning. CoRR Shuvendu Roy, Elham Dolatabadi, Arash Afkanpour, Ali Etemad
2023	J	`jnl`	Federated Variational Inference: Towards Improved Personalization and Generalization. CoRR Elahe Vedadi, Joshua V. Dillon, Philip Andrew Mansfield, Karan Singhal, Arash Afkanpour, Warren Richard Morningstar
2023	J	`jnl`	Random Field Augmentations for Self-Supervised Representation Learning. CoRR Philip Andrew Mansfield, Arash Afkanpour, Warren Richard Morningstar, Karan Singhal
2023	—	`conf`	Random field augmentations for self-supervised representation learning. NeurReps Philip Andrew Mansfield, Arash Afkanpour, Warren Richard Morningstar, Karan Singhal
2022	—	`conf`	BERT for Long Documents: A Case Study of Automated ICD Coding. LOUHI@EMNLP 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
2022	J	`jnl`	BERT for Long Documents: A Case Study of Automated ICD Coding. CoRR 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
2022	J	`jnl`	Federated Training of Dual Encoding Models on Small Non-IID Client Datasets. CoRR Raviteja Vemulapalli, Warren Richard Morningstar, Philip Andrew Mansfield, Hubert Eichner, Karan Singhal, Arash Afkanpour, Bradley Green
2021	J	`jnl`	An Empirical Study of Neural Kernel Bandits. CoRR Michal Lisicki, Arash Afkanpour, Graham W. Taylor
2020	J	`jnl`	Evaluating Curriculum Learning Strategies in Neural Combinatorial Optimization. CoRR Michal Lisicki, Arash Afkanpour, Graham W. Taylor
2013	—	`conf`	A Randomized Mirror Descent Algorithm for Large Scale Multiple Kernel Learning. ICML (1) Arash Afkanpour, András György, Csaba Szepesvári, Michael Bowling
2013	J	`jnl`	Alignment based kernel learning with a continuous set of base kernels. Mach. Learn. Arash Afkanpour, Csaba Szepesvári, Michael Bowling
2012	J	`jnl`	A Randomized Strategy for Learning to Combine Many Features CoRR Arash Afkanpour, András György, Csaba Szepesvári, Michael H. Bowling
2011	J	`jnl`	Alignment Based Kernel Learning with a Continuous Set of Base Kernels CoRR Arash Afkanpour, Csaba Szepesvári, Michael H. Bowling
2005	—	`conf`	Opponent Modeling in Adversarial Environments through Learning Ingenuity. SOAS Arash Afkanpour, Saeed Bagheri Shouraki