Arman Afrasiyabi

Mila -Québec AI Institute · Université Laval

Hi, I am a Ph.D. candidate at Mila and Université Laval supervised by Prof. Jean-François Lalonde and Prof. Christian Gagné. I am working on meta-learning, representation learning, and self-supervised learning in low supervision conditions. My current research is focused on contextual self-supervised learning for quick adaptations.

I was born and raised in Band, a beautiful village near Urmia City.

News and updates

Selected publications

  1. ICCV
    Mixture-based feature space learning for few-shot image classification
    International Conference on Computer Vision, 2021
    1. ECCV Spotlight
      Associative alignment for few-shot image classification
      European Conference on Computer Vision, 2020
      1. ICASSP
        Non-euclidean vector product for neural networks
        Arman Afrasiyabi, Diaa Badawi, Baris Nasir, Ozan Yildiz, Fatos T. Yarman Vural, A Enis Çetin
        International Conference on Acoustics, Speech and Signal Processing, 2018
        1. ICCI*CC
          A sparse temporal mesh model for brain decoding
          15th International Conference on Cognitive Informatics & Cognitive, 2016

Presentations and PhD Exams

  • In 26, Feb, 2021, I present Transfomers to Prof. Jean-François Lalonde's research group. [my slides]
  • In Feb 2021, I gave a presentation on PMM and Associative Alignment at IID, Université Laval. [my slides]
  • At ECCV 2020, I presented our work “Associative Alignment for Few-shot Image Classification”. [video]
  • In July 2020, I gave a talk on ”Advances in few-shot learning” at Université Laval, IFT 6501. [my slides]
  • In March 2020, I gave a talk on my last reasearch project at IID, Université Laval. [my slides]
  • In Jan 2019, I successfully passed my PhD exams: [presentation] and [proposal].
  • In January 2018, I gave a presentation on ”Neural turing machines: RNN, NTM and DNC”. [my slides-NTM] [my slides-RNN]