Natural Language Processing Advancements By Deep Learning: A Survey

1 code implementation • 2 Mar 2020 • Amirsina Torfi, Rouzbeh A. Shirvani, Yaser Keneshloo, Nader Tavaf, Edward A. Fox

Natural Language Processing (NLP) helps empower intelligent machines by enhancing a better understanding of the human language for linguistic-based human-computer communication.

Automatic Speech Recognition Automatic Speech Recognition (ASR) +3

GASL: Guided Attention for Sparsity Learning in Deep Neural Networks

2 code implementations • 7 Jan 2019 • Amirsina Torfi, Rouzbeh A. Shirvani, Sobhan Soleymani, Naser M. Nasrabadi

The main goal of network pruning is imposing sparsity on the neural network by increasing the number of parameters with zero value in order to reduce the architecture size and the computational speedup.

Model Compression Network Pruning

Attention-Based Guided Structured Sparsity of Deep Neural Networks

1 code implementation • 13 Feb 2018 • Amirsina Torfi, Rouzbeh A. Shirvani, Sobhan Soleymani, Nasser M. Nasrabadi

Network pruning is aimed at imposing sparsity in a neural network architecture by increasing the portion of zero-valued weights for reducing its size regarding energy-efficiency consideration and increasing evaluation speed.

Network Pruning

Automatic Detection of Small Groups of Persons, Influential Members, Relations and Hierarchy in Written Conversations Using Fuzzy Logic

no code implementations • 6 Oct 2016 • French Pope III, Rouzbeh A. Shirvani, Mugizi Robert Rwebangira, Mohamed Chouikha, Ayo Taylor, Andres Alarcon Ramirez, Amirsina Torfi

The classifier will be based on fuzzy logic.