IndabaX South Africa 2023
Talk: Contrastive Learning: Fundamentals and Practical Applications
Introduction to supervised and self-supervised contrastive learning and applications of these methods across computer vision, natural language processing and recommender systems
Research Project: Automated Malignant Melanoma Detection using Supervised Contrastive Learning
Key words:
Melanoma detection; supervised contrastive learning; computer-aided detection
Recommendation System Project: Recommender systems on MovieLens data using explicit ratings, and curated implicit feedback data.
Natural Language Processing Project: Assessing word embedding evaluation methodologies using the AG’s News Topic Classification Dataset
Research Report: High-dimensional Co-occurrence Modelling with an Application in Disease Co-morbidity
Key words:
Co-occurrence modelling; multi-morbidity; dependent binary simulation; spectral clustering
