10 citations · 18 across the 11 of their papers we have counts for
7 papers · 1 filter
End-to-End Supervised Multilabel Contrastive Learning
Ahmad Sajedi, Samir Khaki, Konstantinos N. Plataniotis +1
Multilabel representation learning is recognized as a challenging problem that can be associated with either label dependencies between object categories or data-related issues suc…
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…
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…
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…
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…
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…