Normal vs. Adversarial: Salience-based Analysis of Adversarial Samples
for Relation Extraction

Normal vs. Adversarial: Salience-based Analysis of Adversarial Samples for Relation Extraction

1 April 2021

Zhen Bi

Shumin Deng

Ningyu Zhang

Chuanqi Tan

Huajun Chen

Papers citing "Normal vs. Adversarial: Salience-based Analysis of Adversarial Samples for Relation Extraction"

5 / 5 papers shown

Title
ROSE: Robust Selective Fine-tuning for Pre-trained Language Models Lan Jiang Hao Zhou Yankai Lin Peng Li Jie Zhou R. Jiang AAML 37 8 0 18 Oct 2022
Grad-SAM: Explaining Transformers via Gradient Self-Attention Maps Oren Barkan Edan Hauon Avi Caciularu Ori Katz Itzik Malkiel Omri Armstrong Noam Koenigstein 34 37 0 23 Apr 2022
DeepKE: A Deep Learning Based Knowledge Extraction Toolkit for Knowledge Base Population Ningyu Zhang Xin Xu Li Tao Haiyang Yu Hongbin Ye ... Qiang Chen Feiyu Xiong Fei Huang Guozhou Zheng Huajun Chen VLM HAI 35 42 0 10 Jan 2022
Disentangled Contrastive Learning for Learning Robust Textual Representations Xiang Chen Xin Xie Zhen Bi Hongbin Ye Shumin Deng Ningyu Zhang Huajun Chen 33 5 0 11 Apr 2021
On Robustness and Bias Analysis of BERT-based Relation Extraction Luoqiu Li Xiang Chen Hongbin Ye Zhen Bi Shumin Deng Ningyu Zhang Huajun Chen 32 18 0 14 Sep 2020