1.2k citations · 1.3k across the 13 of their papers we have counts for
3 papers · 1 filter
In-Context Learning for Few-Shot Molecular Property Prediction
Christopher Fifty, Jure Leskovec, Sebastian Thrun
In-context learning has become an important approach for few-shot learning in Large Language Models because of its ability to rapidly adapt to new tasks without fine-tuning model p…
Context-Aware Meta-Learning
Christopher Fifty, Dennis Duan, Ronald G. Junkins +4
Large Language Models like ChatGPT demonstrate a remarkable capacity to learn new concepts during inference without any fine-tuning. However, visual models trained to detect new ob…
Implicit Geometry and Interaction Embeddings Improve Few-Shot Molecular Property Prediction
Christopher Fifty, Joseph M. Paggi, Ehsan Amid +2
Few-shot learning is a promising approach to molecular property prediction as supervised data is often very limited. However, many important molecular properties depend on complex…