Opening Remarks
Understanding the robustness of Vision Transformers
Few-shot Classification by Recycling Deep Learning
Bayesian Few-Shot Classification with One-vs-Each Pólya-Gamma Augmented Gaussian Processes
Low-shot Scene Decomposition via Reconstruction
Imagination Supervised Machines that can See, Create, Drive and Feel
Naturally Limited Videos of Fine-Grained Actions - How to Collect and Learn from Long-Tailed Videos
Data Efficient Learning for Granular Scene Understanding