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Found 2 papers, 1 papers with code
Self-Supervised Contrastive Learning with Adversarial Perturbations for Defending Word Substitution-based Attacks
In this paper, we present an approach to improve the robustness of BERT language models against word substitution-based adversarial attacks by leveraging adversarial perturbations for self-supervised contrastive learning.
Neural Arithmetic Expression Calculator
With curriculum learning, our model can deal with a complex arithmetic expression calculation with the deep hierarchical structure of skill models.
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