Artur Jordao | DeepAI

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∙ 01/25/2023

When Layers Play the Lottery, all Tickets Win at Initialization

Pruning is a standard technique for reducing the computational cost of d...

0 Artur Jordao, et al. ∙

∙ 08/10/2021

On the Effect of Pruning on Adversarial Robustness

Pruning is a well-known mechanism for reducing the computational cost of...

0 Artur Jordao, et al. ∙

∙ 04/23/2020

Depth-Wise Neural Architecture Search

Modern convolutional networks such as ResNet and NASNet have achieved st...

0 Artur Jordao, et al. ∙

∙ 10/05/2019

Covariance-free Partial Least Squares: An Incremental Dimensionality Reduction Method

Dimensionality reduction plays an important role in computer vision prob...

0 Artur Jordao, et al. ∙

∙ 10/17/2018

Pruning Deep Neural Networks using Partial Least Squares

To handle the high computational cost in deep convolutional networks, re...

0 Artur Jordao, et al. ∙

∙ 06/13/2018

Human Activity Recognition Based on Wearable Sensor Data: A Standardization of the State-of-the-Art

Human activity recognition based on wearable sensor data has been an att...

2 Artur Jordao, et al. ∙

∙ 06/08/2018

A Content-Based Late Fusion Approach Applied to Pedestrian Detection

The variety of pedestrians detectors proposed in recent years has encour...

0 Jessica Sena, et al. ∙

∙ 11/07/2017

Latent hypernet: Exploring all Layers from Convolutional Neural Networks

Since Convolutional Neural Networks (ConvNets) are able to simultaneousl...

0 Artur Jordao, et al. ∙

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