no code implementations • 29 Sep 2021 • Yinjie Jiang, Zhengyu Chen, Luotian Yuan, Ying WEI, Kun Kuang, Xinhai Ye, Zhihua Wang, Fei Wu
Meta-learning has emerged as a potent paradigm for quick learning of few-shot tasks, by leveraging the meta-knowledge learned from meta-training tasks.
no code implementations • 18 Dec 2023 • Yemin Yu, Luotian Yuan, Ying WEI, Hanyu Gao, Xinhai Ye, Zhihua Wang, Fei Wu
Machine learning-assisted retrosynthesis prediction models have been gaining widespread adoption, though their performances oftentimes degrade significantly when deployed in real-world applications embracing out-of-distribution (OOD) molecules or reactions.