8 citations · 12 across the 7 of their papers we have counts for
3 papers · 1 filter
Challenges and Obstacles Towards Deploying Deep Learning Models on Mobile Devices
Hamid Tabani, Ajay Balasubramaniam, Elahe Arani +1
From computer vision and speech recognition to forecasting trajectories in autonomous vehicles, deep learning approaches are at the forefront of so many domains. Deep learning mode…
Knowledge Distillation Beyond Model Compression
Fahad Sarfraz, Elahe Arani, Bahram Zonooz
Knowledge distillation (KD) is commonly deemed as an effective model compression technique in which a compact model (student) is trained under the supervision of a larger pretraine…
Noise as a Resource for Learning in Knowledge Distillation
Elahe Arani, Fahad Sarfraz, Bahram Zonooz
While noise is commonly considered a nuisance in computing systems, a number of studies in neuroscience have shown several benefits of noise in the nervous system from enabling the…