11 citations · 12 across the 4 of their papers we have counts for
4 papers
Damage-Aware Bandit Pruning for Vision and Language Transformers
Salem Ameen, Sunil Vadera
Structured post-training pruning of transformers requires selecting complete functional units whose suppression causes limited degradation. We formulate structured-unit selection f…
Loss-Aware Feature-Map Pruning in Convolutional Neural Networks Using Multi-Armed Bandits
Salem Ameen, Sunil Vadera
Convolutional neural networks often contain redundant feature maps that increase storage and inference cost. This paper presents a loss-aware feature-map pruning framework using mu…
Autonomous Mobile Robot Navigation: Tracking problem
Salem Ameen, Husan F. Vokhidov
This paper presents a study on autonomous robot navigation, focusing on three key behaviors: Odometry, Target Tracking, and Obstacle Avoidance. Each behavior is described in detail…
Methods for Pruning Deep Neural Networks
Sunil Vadera, Salem Ameen
This paper presents a survey of methods for pruning deep neural networks. It begins by categorising over 150 studies based on the underlying approach used and then focuses on three…