8 citations · 11 across the 4 of their papers we have counts for
4 papers
Unified Backpropagation for Multi-Objective Deep Learning
Arash Shahriari
A common practice in most of deep convolutional neural architectures is to employ fully-connected layers followed by Softmax activation to minimize cross-entropy loss for the sake…
Distributed Deep Transfer Learning by Basic Probability Assignment
Arash Shahriari
Transfer learning is a popular practice in deep neural networks, but fine-tuning of large number of parameters is a hard task due to the complex wiring of neurons between splitting…
Multipartite Pooling for Deep Convolutional Neural Networks
Arash Shahriari, Fatih Porikli
We propose a novel pooling strategy that learns how to adaptively rank deep convolutional features for selecting more informative representations. To this end, we exploit discrimin…
Multipartite Ranking-Selection of Low-Dimensional Instances by Supervised Projection to High-Dimensional Space
Arash Shahriari
Pruning of redundant or irrelevant instances of data is a key to every successful solution for pattern recognition. In this paper, we present a novel ranking-selection framework fo…