no code implementations • COLING 2022 • Haochen Li, Tong Mo, Hongcheng Fan, Jingkun Wang, Jiaxi Wang, Fuhao Zhang, Weiping Li
Then, knowledge-injected prompts are constructed using external knowledge bases, and a prompt tuning strategy is leveraged to optimize the prompts.
no code implementations • 29 Dec 2023 • Jiaxi Wang, Wenhui Hu, Xueyang Liu, Beihu Wu, Yuting Qiu, YingYing Cai
EpmVG is based on a novel cross-modal distillation mechanism, which can effectively introduce the consistency information of images and texts in the pre-trained model, to reduce the domain gap existing in the backbone networks, thereby improving the performance of the model in the visual grounding task.
no code implementations • 8 Jun 2023 • Shuxin Zheng, Jiyan He, Chang Liu, Yu Shi, Ziheng Lu, Weitao Feng, Fusong Ju, Jiaxi Wang, Jianwei Zhu, Yaosen Min, He Zhang, Shidi Tang, Hongxia Hao, Peiran Jin, Chi Chen, Frank Noé, Haiguang Liu, Tie-Yan Liu
In this paper, we introduce a novel deep learning framework, called Distributional Graphormer (DiG), in an attempt to predict the equilibrium distribution of molecular systems.
1 code implementation • 11 Oct 2022 • Jiaxi Wang, Ji Wu, Lei Huang
Batch Normalization (BN) is a core and prevalent technique in accelerating the training of deep neural networks and improving the generalization on Computer Vision (CV) tasks.