Jie Han — accepted AI-conference papers

2024

Decoupling Representation and Knowledge for Few-Shot Intent Classification and Slot Filling

Jie Han, Yixiong Zou, Haozhao Wang, Jun Wang, Wei Liu, Yao Wu +2

AAAI 2024technical

Few-shot intent classification and slot filling are important but challenging tasks due to the scarcity of finely labeled data. Therefore, current works first train a model on source domains with sufficiently labeled data, and then transfer the model to target domains where only rarely labeled data…

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2023

Improving Adversarial Robustness with Self-Paced Hard-Class Pair Reweighting

Pengyue Hou, Jie Han, Xingyu Li

AAAI 2023technical

Deep Neural Networks are vulnerable to adversarial attacks. Among many defense strategies, adversarial training with untargeted attacks is one of the most effective methods. Theoretically, adversarial perturbation in untargeted attacks can be added along arbitrary directions and the predicted labels…

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