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3 papers
Contrastive Representation Learning for Dynamic Link Prediction in Temporal Networks
Amirhossein Nouranizadeh, Fatemeh Tabatabaei Far, Mohammad Rahmati
Evolving networks are complex data structures that emerge in a wide range of systems in science and engineering. Learning expressive representations for such networks that encode t…
Visual Self-supervised Learning Scheme for Dense Prediction Tasks on X-ray Images
Shervin Halat, Mohammad Rahmati, Ehsan Nazerfard
Recently, significant advancements in artificial intelligence have been attributed to the integration of self-supervised learning (SSL) scheme. While SSL has shown impressive achie…
On Continuity of Robust and Accurate Classifiers
Ramin Barati, Reza Safabakhsh, Mohammad Rahmati
The reliability of a learning model is key to the successful deployment of machine learning in various applications. However, it is difficult to describe the phenomenon due to the…