Polar Sparsity: Structured Sparsity for Deep Learning

Problem: Deep neural networks are often too large for efficient deployment on edge devices.

Technologies: Python, PyTorch, NumPy

My Role: Developed the polar sparsity algorithm, implemented model pruning, and led experimental validation.

Outcome: Achieved significant model compression with minimal accuracy loss. Paper