← Search

Shanika Karunasekera

2 accepted papers

2022

Noise-Robust Learning from Multiple Unsupervised Sources of Inferred Labels

AAAI 2022technical

Deep Neural Networks (DNNs) generally require large-scale datasets for training. Since manually obtaining clean labels for large datasets is extremely expensive, unsupervised models based on domain-specific heuristics can be used to efficiently infer the labels for such datasets. However, the labels…

Cited by 10SourcePDFScholar
2021

Embracing Domain Differences in Fake News: Cross-domain Fake News Detection using Multi-modal Data

AAAI 2021technical

With the rapid evolution of social media, fake news has become a significant social problem, which cannot be addressed in a timely manner using manual investigation. This has motivated numerous studies on automating fake news detection. Most studies explore supervised training models with different…

Cited by 140SourcePDFScholar