1 code implementation • ICCV 2023 • Florent Chiaroni, Jose Dolz, Ziko Imtiaz Masud, Amar Mitiche, Ismail Ben Ayed
We introduce a Parametric Information Maximization (PIM) model for the Generalized Category Discovery (GCD) problem.
1 code implementation • 30 Jul 2022 • Florent Chiaroni, Malik Boudiaf, Amar Mitiche, Ismail Ben Ayed
We explore clustering the softmax predictions of deep neural networks and introduce a novel probabilistic clustering method, referred to as k-sBetas.
no code implementations • 6 Dec 2019 • Tayssir Doghri, Leszek Szczecinski, Jacob Benesty, Amar Mitiche
In this work we define and analyze the bilinear models which replace the conventional linear operation used in many building blocks of machine learning (ML).
1 code implementation • 9 Oct 2018 • Mohammed Jabi, Marco Pedersoli, Amar Mitiche, Ismail Ben Ayed
Typically, they use multinomial logistic regression posteriors and parameter regularization, as is very common in supervised learning.
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