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Found 4 papers, 1 papers with code
Multi-Task Multi-Fidelity Learning of Properties for Energetic Materials
Data science and artificial intelligence are playing an increasingly important role in the physical sciences.
AAPL: Adding Attributes to Prompt Learning for Vision-Language Models
Through our experiments, we have identified important issues in CoOp and CoCoOp: the context learned through traditional image augmentation is biased toward seen classes, negatively impacting generalization to unseen classes.
Continual Learning with Neuron Activation Importance
Continual learning is a concept of online learning with multiple sequential tasks.
Continual learning with neural activation importance
Continual learning is a concept of online learning along with multiple sequential tasks.
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