1 code implementation • 26 Apr 2024 • Nanxu Gong, Wangyang Ying, Dongjie Wang, Yanjie Fu
Within the learned embedding space, we leverage a multi-gradient search algorithm to find more robust and generalized embeddings with the objective of improving model performance and reducing feature subset redundancy.
1 code implementation • 6 Mar 2024 • Xinyuan Wang, Dongjie Wang, Wangyang Ying, Rui Xie, Haifeng Chen, Yanjie Fu
A deep Q-network, pre-trained with the original features and their corresponding pseudo labels, is employed to improve the efficacy of the exploration process in feature selection.
no code implementations • 6 Mar 2024 • Wangyang Ying, Dongjie Wang, Haifeng Chen, Yanjie Fu
(2) We leverage the trained feature subset utility evaluator as a gradient provider to guide the identification of the optimal feature subset embedding;(3) We decode the optimal feature subset embedding to autoregressively generate the best feature selection decision sequence with autostop.
1 code implementation • 8 Sep 2023 • Wangyang Ying, Dongjie Wang, Kunpeng Liu, Leilei Sun, Yanjie Fu
Feature generation aims to generate new and meaningful features to create a discriminative representation space. A generated feature is meaningful when the generated feature is from a feature pair with inherent feature interaction.
no code implementations • 2 Nov 2022 • Haolin Deng, Yanan Zhang, Yangfan Zhang, Wangyang Ying, Changlong Yu, Jun Gao, Wei Wang, Xiaoling Bai, Nan Yang, Jin Ma, Xiang Chen, Tianhua Zhou
To the best of our knowledge, it is currently the largest manually-annotated Chinese dataset for open event extraction.