
Uncertainty-Based Learning of a Lightweight Model for Multimodal Emotion Recognition
In this paper, the authors propose a lightweight neural network architecture that extracts and performs the analysis of multimodal information using the same audio and visual networks across multiple temporal segments.

Online course on Data Spaces for Mobility
Discover the world of mobility data spaces in this online course tailored for mobility professionals with a solid background in mobility planning, operations, data, and management.

CO2A – Contrastive Conditional domain Alignment
A novel unsupervised domain adaptation approach for action recognition from videos, inspired by recent literature on contrastive learning.

pygrank
pygrank is an open source framework to define, run and evaluate node ranking algorithms.

InDistill
InDistill enchances the effectiveness of the Knowledge Distillation procedure by leveraging the properties of channel pruning to both reduce the capacity gap between the models and retain the information geometry.