1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.LG2024
Multi-Task Multi-Fidelity Learning of Properties for Energetic Materials
Robert J. Appleton, Daniel Klinger, Brian H. Lee +6
Data science and artificial intelligence are playing an increasingly important role in the physical sciences. Unfortunately, in the field of energetic materials data scarcity limit…
cs.CV2024★ 1 cited
AAPL: Adding Attributes to Prompt Learning for Vision-Language Models
Gahyeon Kim, Sohee Kim, Seokju Lee
Recent advances in large pre-trained vision-language models have demonstrated remarkable performance on zero-shot downstream tasks. Building upon this, recent studies, such as CoOp…