activity
20182022
most citedGASL: Guided Attention for Sparsity Learning in Deep Neural Networks

9 citations · 9 across the 2 of their papers we have counts for

collaborators

5 papers

physics.app-ph2022

Resilience based Electric Sector Optimization in Response to Extreme Weather Conditions with Distributed Generation Systems

Rouzbeh Shirvani, Tarannom Parhizkar

Extreme weather events stemming from climate change can cause significant damage and disruption to power systems. Failure to mitigate and adapt to climate change and its cascading…

cs.CL2020

Natural Language Processing Advancements By Deep Learning: A Survey

Amirsina Torfi, Rouzbeh A. Shirvani, Yaser Keneshloo +2

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

cs.HC2019

Towards Understanding and Modeling Empathy for Use in Motivational Design Thinking

Gloria Washington, Rouzbeh Shirvani

Design Thinking workshops are used by companies to help generate new ideas for technologies and products by engaging subjects in exercises to understand their users' wants and beco…

cs.CV20199 cited

GASL: Guided Attention for Sparsity Learning in Deep Neural Networks

Amirsina Torfi, Rouzbeh A. Shirvani, Sobhan Soleymani +1

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…

cs.LG2018

Attention-Based Guided Structured Sparsity of Deep Neural Networks

Amirsina Torfi, Rouzbeh A. Shirvani, Sobhan Soleymani +1

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 co…