Afkanpour, Arash

9 publications

AAAI 2025 Can Generative Models Improve Self-Supervised Representation Learning? Sana Ayromlou, Vahid Reza Khazaie, Fereshteh Forghani, Arash Afkanpour

TMLR 2025 Consistency-Guided Asynchronous Contrastive Tuning for Few-Shot Class-Incremental Tuning of Foundation Models Shuvendu Roy, Elham Dolatabadi, Arash Afkanpour, Ali Etemad

NeurIPSW 2024 Continual Learning of Foundation Models with Limited Labelled Data Shuvendu Roy, Elham Dolatabadi, Arash Afkanpour, Ali Etemad

TMLR 2024 Federated Variational Inference: Towards Improved Personalization and Generalization Elahe Vedadi, Joshua V. Dillon, Philip Andrew Mansfield, Karan Singhal, Arash Afkanpour, Warren Richard Morningstar

ICLRW 2023 Federated Training of Dual Encoding Models on Small Non-Iid Client Datasets Raviteja Vemulapalli, Warren Richard Morningstar, Philip Andrew Mansfield, Hubert Eichner, Karan Singhal, Arash Afkanpour, Bradley Green

NeurIPSW 2023 Random Field Augmentations for Self-Supervised Representation Learning Philip Mansfield, Arash Afkanpour, Warren Morningstar, Karan Singhal

NeurIPSW 2020 Evaluating Curriculum Learning Strategies in Neural Combinatorial Optimization Michal Lisicki, Arash Afkanpour, Graham W Taylor

ICML 2013 A Randomized Mirror Descent Algorithm for Large Scale Multiple Kernel Learning Arash Afkanpour, András György, Csaba Szepesvari, Michael Bowling

MLJ 2013 Alignment Based Kernel Learning with a Continuous Set of Base Kernels Arash Afkanpour, Csaba Szepesvári, Michael Bowling