The Architectural Lottery: A Comprehensive Analysis of Sparse Subnetworks, Optimization Dynamics, and the Future of Neural Efficiency

1. Introduction: The Paradox of Overparameterization In the contemporary landscape of deep learning, a singular, pervasive dogma has dictated the design of neural architectures: scale is the primary driver of Read More …

Efficient Deep Learning: A Comprehensive Report on Neural Network Pruning and Sparsity

Introduction to Model Over-Parameterization and the Imperative for Efficiency The Challenge of Scaling Deep Learning Models The contemporary landscape of artificial intelligence is dominated by a paradigm of scale. The Read More …