Activité

  • Étudiant à la maitrise: jan. 2020 - déc. 2020

Thèse de maitrise

  1. PatchUp: A Feature-Space Block-Level Regularization Technique for Convolutional Neural Networks
    par , avec Sarath Chandar comme superviseur.
    Université de Montréal , octobre 2021.
    [thesis]

Articles de conférence et de revue

2024

  1. On the Costs and Benefits of Adopting Lifelong Learning for Software Analytics - Empirical Study on Brown Build and Risk Prediction
    Doriane Olewicki, Sarra Habchi, Mathieu Nayrolles, , et Bram Adams
    International Conference on Software Engineering (ICSE) - Software Engineering in Practice Track, 2024. [ICSE24 SEIP Distinguished Paper Award.]
    #DL
    [arXiv]

2022

  1. PatchUp: A Feature-Space Block-Level Regularization Technique for Convolutional Neural Networks
    , Mohammad Amini, , Vikas Verma et
    AAAI Conference on Artificial Intelligence (AAAI), 2022.
    #DL
    [arXiv], [code]

2021

  1. IIRC: Incremental Implicitly-Refined Classification
    , , Shagun Sodhani et
    Conference on Computer Vision and Pattern Recognition (CVPR), 2021.
    #DL
    [arXiv], [code], [website], [PyPI], [docs]