8 citations · 30 across the 17 of their papers we have counts for
17 papers
Relative Parameter Importance in Task-Agnostic Replay-Free Continual Learning
Malavika Suresh, Ikechukwu Nkisi-Orji, Nirmalie Wiratunga
Achieving continual learning (CL) with deep neural networks requires balancing stability and plasticity while enabling knowledge transfer. In this work, we focus on offline learnin…
RAPT: Retrieval-Augmented Post-hoc Thresholding for Multi-Label Classification
Lasal Jayawardena, Nirmalie Wiratunga, Ikechukwu Nkisi-Orji +1
Industrial multi-label document understanding pipelines score candidate labels and threshold or rank them to form a label set per document. This early selection step directly affec…
Cross-Layer Attention Probing for Fine-Grained Hallucination Detection
Malavika Suresh, Rahaf Aljundi, Ikechukwu Nkisi-Orji +1
With the large-scale adoption of Large Language Models (LLMs) in various applications, there is a growing reliability concern due to their tendency to generate inaccurate text, i.e…
FedFT: Improving Communication Performance for Federated Learning with Frequency Space Transformation
Chamath Palihawadana, Nirmalie Wiratunga, Anjana Wijekoon +1
Communication efficiency is a widely recognised research problem in Federated Learning (FL), with recent work focused on developing techniques for efficient compression, distributi…
iSee: Advancing Multi-Shot Explainable AI Using Case-based Recommendations
Anjana Wijekoon, Nirmalie Wiratunga, David Corsar +7
Explainable AI (XAI) can greatly enhance user trust and satisfaction in AI-assisted decision-making processes. Recent findings suggest that a single explainer may not meet the dive…
A Survey of AI-Powered Mini-Grid Solutions for a Sustainable Future in Rural Communities
Craig Pirie, Harsha Kalutarage, Muhammad Shadi Hajar +8
This paper presents a comprehensive survey of AI-driven mini-grid solutions aimed at enhancing sustainable energy access. It emphasises the potential of mini-grids, which can opera…