1 citations · 2 across the 3 of their papers we have counts for
3 papers · 1 filter
Parametric Information Maximization for Generalized Category Discovery
Florent Chiaroni, Jose Dolz, Ziko Imtiaz Masud +2
We introduce a Parametric Information Maximization (PIM) model for the Generalized Category Discovery (GCD) problem. Specifically, we propose a bi-level optimization formulation, w…
Simplex Clustering via sBeta with Applications to Online Adjustment of Black-Box Predictions
Florent Chiaroni, Malik Boudiaf, Amar Mitiche +1
We explore clustering the softmax predictions of deep neural networks and introduce a novel probabilistic clustering method, referred to as k-sBetas. In the general context of clus…
Bilinear Models for Machine Learning
Tayssir Doghri, Leszek Szczecinski, Jacob Benesty +1
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). The main idea is to de…