Pruning Neural Networks

  • Performed weight pruning and unit pruning on a simple fully-connected neural network. Showed that up to 90% of the weights can be pruned without a considerable drop in accuracy. Utilized the sparsity of the weights to speed up inference by up to 30%.
Aniket Didolkar
Research Intern

My research interests include deep learning, natural language processing and reinforcement learning.