ADR Awareness Centre

Code for Word-Class Embeddings (WCEs), a form of supervised embeddings especially suited for multiclass text classification.

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

We propose an architecture-agnostic approach that jointly discovers factors representing spatial parts and their appearances in an entirely unsupervised fashion.

Exemplar-free class-incremental learning is very challenging due to the negative effect of catastrophic forgetting.

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

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.