CO2A – Contrastive Conditional domain Alignment
A novel unsupervised domain adaptation approach for action recognition from videos, inspired by recent literature on contrastive learning.
Augmentation-free unsupervised approach for point clouds
Unsupervised learning on 3D point clouds has undergone a rapid evolution, especially thanks to data augmentation-based contrastive methods.
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.
AutoDraw
AutoDraw is a new web-based tool that pairs machine learning with drawings created by talented artists to help you draw.
Designing a Rights-Based Global Index on Responsible AI
A frameworks have been developed that set out core ethical principles to be upheld as the technology is designed, developed, used, and evaluated.