Author

Syed Ali Ahmed

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#artificial intelligence Preprint Sep 2026

Beyond Accuracy: Centroid-Guided Contrastive Loss for Structured Fraudulent Job Posting Detection

Centroid-Guided Contrastive Loss (CGCL), a loss function which unifies classification with densely formulated clustering to consistently reshape latent-space through a centroid-driven top-$k$ push-and-pull mechanism, is proposed.

Syed Ali Ahmed, M. Raza, Muhammad Shoaib Siddiqui et al. · 0 citations

Preprint Aug 2026

Cross-Domain Generalization in Machine Unlearning via Label-Conditioned Energy Magnitude Regularization

This paper studies what happens to the rest of the model when a class is forgotten, using a label-conditioned energy-based model (EBM) that assigns per-class energies, making the effect directly observable.

Syed Ali Ahmed, Syed Bilal Ahsan, Muhammad Zaigham Zaheer National University of Computer et al. · 0 citations