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cs.LG2026
Information theoretic underpinning of self-supervised learning by clustering
Josef Kittler, Sara Atito, Muhammad Awais
Self-supervised learning (SSL) is recognized as an essential tool for building foundation models for Artificial Intelligence applications. The advances in SSL have been made thanks…
cs.LG2025
Multi-Disease Deep Learning Framework for GWAS: Beyond Feature Selection Constraints
Iqra Farooq, Sara Atito, Ayse Demirkan +2
Traditional GWAS has advanced our understanding of complex diseases but often misses nonlinear genetic interactions. Deep learning offers new opportunities to capture complex genom…
cs.LG2024
DailyMAE: Towards Pretraining Masked Autoencoders in One Day
Jiantao Wu, Shentong Mo, Sara Atito +3
Recently, masked image modeling (MIM), an important self-supervised learning (SSL) method, has drawn attention for its effectiveness in learning data representation from unlabeled…