Attention Mechanisms

DM$^2$S$^2$: Deep Multi-Modal Sequence Sets with Hierarchical Modality Attention
IEEE Access (Impact Factor: 3.476 in 2021; 1st place in Engineering & Computer Science (general) at Google Scholar Metrics)
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DM$^2$S$^2$: Deep Multi-Modal Sequence Sets with Hierarchical Modality Attention
Making Attention Mechanisms More Robust and Interpretable with Virtual Adversarial Training
Springer Applied Intelligence (Impact Factor: 5.019 in 2021)
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Making Attention Mechanisms More Robust and Interpretable with Virtual Adversarial Training
Attention Meets Perturbations: Robust and Interpretable Attention with Adversarial Training
IEEE Access (Impact Factor: 3.367 in 2020; 1st place in Engineering & Computer Science (general) at Google Scholar Metrics)
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Attention Meets Perturbations: Robust and Interpretable Attention with Adversarial Training
Making Attention Mechanisms More Robust and Interpretable with Virtual Adversarial Training for Semi-Supervised Text Classification
Preprint version of the Springer Applied Intelligence paper “Making Attention Mechanisms More Robust and Interpretable with Virtual Adversarial Training”
DOI Preprint
Making Attention Mechanisms More Robust and Interpretable with Virtual Adversarial Training for Semi-Supervised Text Classification