ADR Awareness Centre

A package for implementing and simulating decentralized Graph Neural Network algorithms for classification of peer-to-peer nodes.

Graph Neural Networks (GNNs) have seen a dramatic increase in popularity thanks to their ability to understand relations between graph nodes.

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.

A holistic learning framework for Novel Class Discovery (NCD), which adopts contrastive learning to learn discriminate features with both the labeled and unlabeled data.

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