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ідея - Artificial Intelligence, Machine Learning
Leveraging Selective Attention for Robust Continual Learning
Selective attention-driven modulation can effectively enhance the performance and robustness of continual learning models by leveraging the forgetting-free behavior of saliency prediction.
Exploring the Contributions of Language and Vision to Learning from Limited Data
Language models can maintain a majority of the performance of vision-language models in learning new visual tasks from limited data, suggesting language plays a key role in visual understanding.
Rapid Inference of Swarm Tactics and Attributes Using Neural Networks
Neural networks can rapidly and accurately predict the communication and navigation attributes of swarming autonomous agents, enabling real-time inference of their overall tactics.
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