no code implementations • NAACL 2022 • Yang Yan, Junda Ye, Zhongbao Zhang, LiWen Wang
As an essential component of task-oriented dialogue systems, slot filling requires enormous labeled training data in a certain domain.
4 code implementations • 3 Oct 2023 • Bin Zhu, Bin Lin, Munan Ning, Yang Yan, Jiaxi Cui, Hongfa Wang, Yatian Pang, Wenhao Jiang, Junwu Zhang, Zongwei Li, Wancai Zhang, Zhifeng Li, Wei Liu, Li Yuan
We thus propose VIDAL-10M with Video, Infrared, Depth, Audio and their corresponding Language, naming as VIDAL-10M.
Ranked #1 on Zero-shot Audio Classification on VGG-Sound (using extra training data)
1 code implementation • 28 Jun 2023 • Jiaxi Cui, Zongjian Li, Yang Yan, Bohua Chen, Li Yuan
Furthermore, we propose a self-attention method to enhance the ability of large models to overcome errors present in reference data, further optimizing the issue of model hallucinations at the model level and improving the problem-solving capabilities of large models.
no code implementations • 6 May 2023 • Junda Ye, Zhongbao Zhang, Li Sun, Yang Yan, Feiyang Wang, Fuxin Ren
To explore these issues for sequential interaction networks, we propose SINCERE, a novel method representing Sequential Interaction Networks on Co-Evolving RiEmannian manifolds.
no code implementations • 6 Nov 2022 • Jie Hu, Yongquan Jiang, Yang Yan, Houchen Zuo
Based on this, this manuscript proposes the use of XGBoost model to identify superconductors; the first application of deep forest model to predict the critical temperature of superconductors; the first application of deep forest to predict the band gap of materials; and application of a new sub-network model to predict the Fermi energy level of materials.
no code implementations • 16 Jun 2022 • Zuo Houchen, Jiang Yongquan, Yang Yan, Liu Baoying, Hu Jie
Because aluminum alloy is widely used in many fields, so it is significant to predict the properties of aluminum alloy.
1 code implementation • 8 Mar 2022 • LiWen Wang, Rumei Li, Yang Yan, Yuanmeng Yan, Sirui Wang, Wei Wu, Weiran Xu
Recently, prompt-based methods have achieved significant performance in few-shot learning scenarios by bridging the gap between language model pre-training and fine-tuning for downstream tasks.
no code implementations • 12 Jul 2019 • Xueyan Ding, Yafei Wang, Yang Yan, Zheng Liang, Zetian Mi, Xianping Fu
Different from most of previous underwater image enhancement methods that compute light attenuation along object-camera path through hazy image formation model, we propose a novel jointly wavelength compensation and dehazing network (JWCDN) that takes into account the wavelength attenuation along surface-object path and the scattering along object-camera path simultaneously.
no code implementations • 10 Jul 2019 • Yuxiao Yan, Yang Yan, Jinjia Peng, Huibing Wang, Xianping Fu
Different from the previous methods, this paper try to purify real image by extracting discriminative and robust features to convert outdoor real images to indoor synthetic images.