2 citations · 4 across the 10 of their papers we have counts for
4 papers · 1 filter
SAD-LoRA: Spectral Alignment for Low-Rank Knowledge Distillation
Omer Tariq, Syed Muhammad Raza, Jeongbae Son
Distilling a fine-tuned teacher into a LoRA-adapted student is a standard recipe for parameter-efficient compression, but output-level KD does not explicitly control which rank-…
Quantum-Inspired Reinforcement Learning for Secure and Sustainable AIoT-Driven Supply Chain Systems
Muhammad Bilal Akram Dastagir, Omer Tariq, Shahid Mumtaz +2
Modern supply chains must balance high-speed logistics with environmental impact and security constraints, prompting a surge of interest in AI-enabled Internet of Things (AIoT) sol…
ConvXformer: Differentially Private Hybrid ConvNeXt-Transformer for Inertial Navigation
Omer Tariq, Muhammad Bilal, Muneeb Ul Hassan +2
Data-driven inertial sequence learning has revolutionized navigation in GPS-denied environments, offering superior odometric resolution compared to traditional Bayesian methods. Ho…
Learning to Undo: Rollback-Augmented Reinforcement Learning with Reversibility Signals
Andrejs Sorstkins, Omer Tariq, Muhammad Bilal
This paper proposes a reversible learning framework to improve the robustness and efficiency of value based Reinforcement Learning agents, addressing vulnerability to value overest…