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Found 4 papers, 2 papers with code
Mixed Strategies for Security Games with General Defending Requirements
In this work, we initiate the study of mixed strategies for the security games in which the targets can have different defending requirements.
Preserving Dynamic Attention for Long-Term Spatial-Temporal Prediction
To filter out irrelevant noises and alleviate the error propagation, DSAN dynamically extracts valuable information by applying self-attention over the noisy input and bridges each output directly to the purified inputs via implementing a switch-attention mechanism.
Interpretable Crowd Flow Prediction with Spatial-Temporal Self-Attention
Crowd flow prediction has been increasingly investigated in intelligent urban computing field as a fundamental component of urban management system.
Spatial-Temporal Self-Attention Network for Flow Prediction
Flow prediction (e. g., crowd flow, traffic flow) with features of spatial-temporal is increasingly investigated in AI research field.
