Tag: Adaptive Neural Networks
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Differentiable Learning of Lifted Action Schemas in Planning
Discover how differentiable learning improves lifted action schemas for classical planning, enhancing AI's ability to learn complex action structures.
BEHAVE: Hybrid AI for Real-Time Human Group Dynamics
Discover BEHAVE, a hybrid AI framework for modeling real-time collective human behavior, enhancing crowd safety, crisis response, and teamwork.
Wi-Fi Motion Recognition with Variable Traffic Patterns
Discover a robust Wi-Fi motion recognition method that adapts to variable traffic, boosting accuracy and stability in real-world scenarios.
Scaling Behavior in Normalized Residual Networks Explained
Explore a test-risk mechanism revealing how depth expansion improves scaling in normalized residual networks for better deep learning performance.
SAFformer: Efficient Spiking Transformer with Predictive Filtering
Discover SAFformer, a spiking transformer using active predictive filtering for high accuracy and energy-efficient visual recognition.