3 papers
cs.CV2026
HiAP: A Multi-Granular Stochastic Auto-Pruning Framework for Vision Transformers
Andy Li, Aiden Durrant, Milan Markovic +1
Vision Transformers require significant computational resources and memory bandwidth, severely limiting their deployment on resource-constraint hardware. Most structured pruning me…
cs.LG2026
Enhancing Strawberry Yield Forecasting with Backcasted IoT Sensor Data and Machine Learning
Tewodros Alemu Ayall, Andy Li, Matthew Beddows +2
Rapid global population growth underscores the need for digitally enabled agricultural systems that support sustainable food production and data-driven resource management for farm…
cs.CV2025
Pushing the Limits of Sparsity: A Bag of Tricks for Extreme Pruning
Andy Li, Aiden Durrant, Milan Markovic +5
Pruning of deep neural networks has been an effective technique for reducing model size while preserving most of the performance of dense networks, crucial for deploying models on…