Mitigating Catastrophic Forgetting in Molecular Property Prediction via Refresh Learning and Pareto Optimization.

求助中 10 由 nothing 发布于 2026/2/6 23:57:27

DOI:10.1109/TCBBIO.2025.3571046
作者：Sakshi Ranjan,?Dheeraj Mishra,?Sanjay Kumar Singh
文献类型：期刊论文
补充材料：只需要正文
文献链接：https://doi.org/10.1109/TCBBIO.2025.3571046

Institute of Electrical and Electronics Engineers (IEEE)

Abstract：Continual Learning (CL) enables Large Language Models (LLMs) to adapt to new episodes and data streams without forgetting previously acquired knowledge, a critical requirement for dynamic fi

应助信息

等您来应助

上传文件

3小时前

Book学术机器人

2026/2/6 23:57:27 未找到该文献，机器人已退出，请等待人工下载

2026/2/6 23:57:27 Book学术AI机器人收到请求，开始寻找文献

2026/2/6 23:57:27 已向机器人发送请求

3小时前

nothing 发布求助

上一个求助:其它数据库Naturally Fractured Carbonate Reservoir Characterization: A Case Study of a Mature High-Pour Point Oil Field in Hungary 下一个求助:Institute of Electrical and Electronics Engineers (IEEE)Multistrategy Multi-objective Evolutionary Algorithm-Based Unsupervised Band Selection for Hyperspectral Image Classification