3 papers
stat.ML2026
Lipschitz bounds for integral kernels
Justin Reverdi, Sixin Zhang, Fabrice Gamboa +1
Feature maps associated with positive definite kernels play a central role in kernel methods and learning theory, where regularity properties such as Lipschitz continuity are close…
stat.ML2025
Feature Representation Transferring to Lightweight Models via Perception Coherence
Hai-Vy Nguyen, Fabrice Gamboa, Sixin Zhang +3
In this paper, we propose a method for transferring feature representation to lightweight student models from larger teacher models. We mathematically define a new notion called \t…
cs.CV2025
Convolutional Rectangular Attention Module
Hai-Vy Nguyen, Fabrice Gamboa, Sixin Zhang +3
In this paper, we introduce a novel spatial attention module that can be easily integrated to any convolutional network. This module guides the model to pay attention to the most d…