research
∙
03/08/2023
Using Positive Matching Contrastive Loss with Facial Action Units to mitigate bias in Facial Expression Recognition
Machine learning models automatically learn discriminative features from...
share
research
∙
09/12/2021
Not All Negatives are Equal: Label-Aware Contrastive Loss for Fine-grained Text Classification
Fine-grained classification involves dealing with datasets with larger n...
research
∙
07/31/2021
Using Knowledge-Embedded Attention to Augment Pre-trained Language Models for Fine-Grained Emotion Recognition
Modern emotion recognition systems are trained to recognize only a small...
research
∙
06/29/2021
A Systematic Evaluation of Domain Adaptation in Facial Expression Recognition
Facial Expression Recognition is a commercially important application, b...
research
∙
07/22/2020