Ileana Rugina

Data-Informed Global Sparseness in Attention Mechanisms for Deep Neural Networks

Attention mechanisms play a crucial role in the neural revolution of Natural Language Processing (NLP). With the growth of attention-based models, several pruning techniques have been developed to identify and exploit sparseness, making these models more efficient. Most efforts focus on hard-coding…