no code implementations • 22 Apr 2024 • Juncheng Yang, Zuchao Li, Shuai Xie, Wei Yu, Shijun Li
Domain generalization faces challenges due to the distribution shift between training and testing sets, and the presence of unseen target domains.
no code implementations • 19 Apr 2024 • Juncheng Yang, Zuchao Li, Shuai Xie, WeiPing Zhu, Wei Yu, Shijun Li
While some methods overcome the need for training by leveraging image modality cache and retrieval, they overlook the text modality's importance and cross-modal cues for the efficient adaptation of parameters in visual-language models.
1 code implementation • 6 Apr 2024 • Juncheng Yang, Zuchao Li, Shuai Xie, Wei Yu, Shijun Li, Bo Du
It is a step-by-step linear reasoning process that adjusts the length of the chain to improve the performance of generated prompts.
no code implementations • 1 Mar 2023 • Chao Xue, Wei Liu, Shuai Xie, Zhenfang Wang, Jiaxing Li, Xuyang Peng, Liang Ding, Shanshan Zhao, Qiong Cao, Yibo Yang, Fengxiang He, Bohua Cai, Rongcheng Bian, Yiyan Zhao, Heliang Zheng, Xiangyang Liu, Dongkai Liu, Daqing Liu, Li Shen, Chang Li, Shijin Zhang, Yukang Zhang, Guanpu Chen, Shixiang Chen, Yibing Zhan, Jing Zhang, Chaoyue Wang, DaCheng Tao
Automated machine learning (AutoML) seeks to build ML models with minimal human effort.
1 code implementation • 17 Oct 2020 • Shuai Xie, Zunlei Feng, Ying Chen, Songtao Sun, Chao Ma, Mingli Song
To deal with this problem, we propose a semantic Difficulty-awarE Active Learning (DEAL) network composed of two branches: the common segmentation branch and the semantic difficulty branch.