Posts by Collection

Contrastive Pretraining of Regression Tasks in Reliability Forecasting of Automotive Electronics

Published in 22nd International Conference on Machine Learning and Applications, 2023

This paper is about using contrastive learning in regression tasks by contrasting via Radial Basis Function of continuous labels. Read more

Recommended citation: E. Zarbali et al. (2023). "Contrastive Pretraining of Regression Tasks in Reliability Forecasting of Automotive Electronics." 2023 International Conference on Machine Learning and Applications (ICMLA). pp.332-338(1). https://ieeexplore.ieee.org/document/10460043

Self-Supervised Learning in Vision

Postgraduade/Masters guest lecture, Ruhr-Universität Bochum, 2024

In the guest lecture we delved into the fundamentals of modern self-supervised learning frameworks in computer vision. Why and how instance discrimination works and why exactly it is more robust than traditional supervised learning. Read more