4 papers
Shadow loss: Memory-linear deep metric learning for efficient training
Alif Elham Khan, Mohammad Junayed Hasan, Humayra Anjum +1
Deep metric learning objectives (e.g., triplet loss) require storing and comparing high-dimensional embeddings, making the per-batch loss buffer scale as , where i…
Climbing the label tree: Hierarchy-preserving contrastive learning for medical imaging
Alif Elham Khan
Medical image labels are often organized by taxonomies (e.g., organ - tissue - subtype), yet standard self-supervised learning (SSL) ignores this structure. We present a hierarchy-…
Predicting life satisfaction using machine learning and explainable AI
Alif Elham Khan, Mohammad Junayed Hasan, Humayra Anjum +2
Life satisfaction is a crucial facet of human well-being. Hence, research on life satisfaction is incumbent for understanding how individuals experience their lives and influencing…
Quantum Energy Teleportation across Multi-Qubit Systems using W-State Entanglement
Alif Elham Khan, Humayra Anjum, Mahdy Rahman Chowdhury
Quantum-energy teleportation (QET) has so far only been realised on a two-qubit platform. Real-world communication, however, typically involves multiple parties. Here we design and…