5 citations · 9 across the 5 of their papers we have counts for
5 papers
Using Positive Matching Contrastive Loss with Facial Action Units to mitigate bias in Facial Expression Recognition
Varsha Suresh, Desmond C. Ong
Machine learning models automatically learn discriminative features from the data, and are therefore susceptible to learn strongly-correlated biases, such as using protected attrib…
Not All Negatives are Equal: Label-Aware Contrastive Loss for Fine-grained Text Classification
Varsha Suresh, Desmond C. Ong
Fine-grained classification involves dealing with datasets with larger number of classes with subtle differences between them. Guiding the model to focus on differentiating dimensi…
Using Knowledge-Embedded Attention to Augment Pre-trained Language Models for Fine-Grained Emotion Recognition
Varsha Suresh, Desmond C. Ong
Modern emotion recognition systems are trained to recognize only a small set of emotions, and hence fail to capture the broad spectrum of emotions people experience and express in…
Critically examining the Domain Generalizability of Facial Expression Recognition models
Varsha Suresh, Gerard Yeo, Desmond C. Ong
Facial Expression Recognition is a commercially-important application, but one under-appreciated limitation is that such applications require making predictions on out-of-sample di…
Shape-CD: Change-Point Detection in Time-Series Data with Shapes and Neurons
Varsha Suresh, Wei Tsang Ooi
Change-point detection in a time series aims to discover the time points at which some unknown underlying physical process that generates the time-series data has changed. We found…