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20122023
most citedA Comprehensive Analysis of Weakly-Supervised Semantic Segmentation in Different Image Domains

96 citations · 209 across the 20 of their papers we have counts for

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Showing 2021Show all

8 papers · 1 filter

cs.LG2021

Towards Robust and Automatic Hyper-Parameter Tunning

Mathieu Tuli, Mahdi S. Hosseini, Konstantinos N. Plataniotis

The task of hyper-parameter optimization (HPO) is burdened with heavy computational costs due to the intractability of optimizing both a model's weights and its hyper-parameters si…

cs.LG2021

P4AI: Approaching AI Ethics through Principlism

Andre Fu, Elisa Ding, Mahdi S. Hosseini +1

The field of computer vision is rapidly evolving, particularly in the context of new methods of neural architecture design. These models contribute to (1) the Climate Crisis - incr…

cs.CV2021

NoFADE: Analyzing Diminishing Returns on CO2 Investment

Andre Fu, Justin Tran, Andy Xie +6

Climate change continues to be a pressing issue that currently affects society at-large. It is important that we as a society, including the Computer Vision (CV) community take ste…

cs.LG2021

In Search of Probeable Generalization Measures

Jonathan Jaegerman, Khalil Damouni, Mahdi S. Hosseini +1

Understanding the generalization behaviour of deep neural networks is a topic of recent interest that has driven the production of many studies, notably the development and evaluat…

cs.CV2021

CONetV2: Efficient Auto-Channel Size Optimization for CNNs

Yi Ru Wang, Samir Khaki, Weihang Zheng +2

Neural Architecture Search (NAS) has been pivotal in finding optimal network configurations for Convolution Neural Networks (CNNs). While many methods explore NAS from a global sea…

cs.CV2021

Probeable DARTS with Application to Computational Pathology

Sheyang Tang, Mahdi S. Hosseini, Lina Chen +5

AI technology has made remarkable achievements in computational pathology (CPath), especially with the help of deep neural networks. However, the network performance is highly rela…

cs.CV2021

CONet: Channel Optimization for Convolutional Neural Networks

Mahdi S. Hosseini, Jia Shu Zhang, Zhe Liu +7

Neural Architecture Search (NAS) has shifted network design from using human intuition to leveraging search algorithms guided by evaluation metrics. We study channel size optimizat…

cs.CV2021

Reconsidering CO2 emissions from Computer Vision

Andre Fu, Mahdi S. Hosseini, Konstantinos N. Plataniotis

Climate change is a pressing issue that is currently affecting and will affect every part of our lives. It's becoming incredibly vital we, as a society, address the climate crisis…