77 citations · 98 across the 13 of their papers we have counts for
3 papers · 1 filter
LAB: Learnable Activation Binarizer for Binary Neural Networks
Sieger Falkena, Hadi Jamali-Rad, Jan van Gemert
Binary Neural Networks (BNNs) are receiving an upsurge of attention for bringing power-hungry deep learning towards edge devices. The traditional wisdom in this space is to employ…
Respecting Domain Relations: Hypothesis Invariance for Domain Generalization
Ziqi Wang, Marco Loog, Jan van Gemert
In domain generalization, multiple labeled non-independent and non-identically distributed source domains are available during training while neither the data nor the labels of tar…
Asymmetric kernel in Gaussian Processes for learning target variance
Silvia L. Pintea, Jan C. van Gemert, Arnold W. M. Smeulders
This work incorporates the multi-modality of the data distribution into a Gaussian Process regression model. We approach the problem from a discriminative perspective by learning,…