3 citations · 4 across the 4 of their papers we have counts for
Showing cs.CVShow all
2 papers · 1 filter
cs.CV2024★ 1 cited
MTLoRA: A Low-Rank Adaptation Approach for Efficient Multi-Task Learning
Ahmed Agiza, Marina Neseem, Sherief Reda
Adapting models pre-trained on large-scale datasets to a variety of downstream tasks is a common strategy in deep learning. Consequently, parameter-efficient fine-tuning methods ha…
cs.CV2023
AdaMTL: Adaptive Input-dependent Inference for Efficient Multi-Task Learning
Marina Neseem, Ahmed Agiza, Sherief Reda
Modern Augmented reality applications require performing multiple tasks on each input frame simultaneously. Multi-task learning (MTL) represents an effective approach where multipl…