no code implementations • 18 Mar 2024 • Yifei Yuan, Chen Shi, Runze Wang, Liyi Chen, Renjun Hu, Zengming Zhang, Feijun Jiang, Wai Lam
To this end, we study low-resource generative conversational query rewrite that is robust to both noise and language style shift.
1 code implementation • 4 Feb 2024 • Yi Cheng, Renjun Hu, Haochao Ying, Xing Shi, Jian Wu, Wei Lin
Our extensive experiments on real-world data also validate the consistent effectiveness, efficiency, and rationale of AMFormer, suggesting it has established a strong inductive bias for deep learning on tabular data.
1 code implementation • 7 May 2023 • Yi Cheng, Haochao Ying, Renjun Hu, Jinhong Wang, Wenhao Zheng, Xiao Zhang, Danny Chen, Jian Wu
Image ordinal regression has been mainly studied along the line of exploiting the order of categories.
1 code implementation • 12 Nov 2022 • Siyi Qian, Haochao Ying, Renjun Hu, Jingbo Zhou, Jintai Chen, Danny Z. Chen, Jian Wu
To address these issues, we propose a novel RTGNN (Robust Training of Graph Neural Networks via Noise Governance) framework that achieves better robustness by learning to explicitly govern label noise.