3 citations · 4 across the 5 of their papers we have counts for
6 papers
CalibrateMix: Guided-Mixup Calibration of Image Semi-Supervised Models
Mehrab Mustafy Rahman, Jayanth Mohan, Tiberiu Sosea +1
Semi-supervised learning (SSL) has demonstrated high performance in image classification tasks by effectively utilizing both labeled and unlabeled data. However, existing SSL metho…
MarginMatch: Improving Semi-Supervised Learning with Pseudo-Margins
Tiberiu Sosea, Cornelia Caragea
We introduce MarginMatch, a new SSL approach combining consistency regularization and pseudo-labeling, with its main novelty arising from the use of unlabeled data training dynamic…
Sarcasm Detection in a Disaster Context
Tiberiu Sosea, Junyi Jessy Li, Cornelia Caragea
During natural disasters, people often use social media platforms such as Twitter to ask for help, to provide information about the disaster situation, or to express contempt about…
Unsupervised Extractive Summarization of Emotion Triggers
Tiberiu Sosea, Hongli Zhan, Junyi Jessy Li +1
Understanding what leads to emotions during large-scale crises is important as it can provide groundings for expressed emotions and subsequently improve the understanding of ongoin…
Why Do You Feel This Way? Summarizing Triggers of Emotions in Social Media Posts
Hongli Zhan, Tiberiu Sosea, Cornelia Caragea +1
Crises such as the COVID-19 pandemic continuously threaten our world and emotionally affect billions of people worldwide in distinct ways. Understanding the triggers leading to peo…
Emotion analysis and detection during COVID-19
Tiberiu Sosea, Chau Pham, Alexander Tekle +2
Crises such as natural disasters, global pandemics, and social unrest continuously threaten our world and emotionally affect millions of people worldwide in distinct ways. Understa…