1 code implementation • 28 Oct 2023 • Nan Xu, Fei Wang, Mingtao Dong, Muhao Chen
Many discriminative natural language understanding (NLU) tasks have large label spaces.
no code implementations • 9 Apr 2023 • Yang Luo, Xiqing Guo, Mingtao Dong, Jin Yu
An RGB-T tracker based on mixed attention mechanism to achieve complementary fusion of modalities (referred to as MACFT) is proposed in this paper.
1 code implementation • 25 May 2022 • Nan Xu, Fei Wang, Bangzheng Li, Mingtao Dong, Muhao Chen
Due to shortcuts from surface patterns to annotated entity labels and biased training, existing entity typing models are subject to the problem of spurious correlations.
no code implementations • 25 Oct 2018 • Mingtao Dong, Jindong Han
This paper proposes a new approach based on deep learning and traditional feature engineering called HAR-Net to address the issue related to HAR.