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Found 6 papers, 1 papers with code
Few-Shot Adversarial Prompt Learning on Vision-Language Models
The vulnerability of deep neural networks to imperceptible adversarial perturbations has attracted widespread attention.
Entity Linking in Tabular Data Needs the Right Attention
We achieve constant memory usage by introducing a Tabular Entity Linking Lite model (TELL ) that generates vector representation for a cell based only on its value, the table headers and the table caption.
Generating Semantically Valid Adversarial Questions for TableQA
Finally, we demonstrate that adversarial training with SAGE augmented data can improve performance and robustness of TableQA systems.
Clickbait Detection in Tweets Using Self-attentive Network
Clickbait detection in tweets remains an elusive challenge.
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