attention-based models
Attention-based models are a type of machine learning models that focus on relevant parts of input data while making predictions, by weighing the importance of each component dynamically.
Requires login.
Related Concepts (1)
Similar Concepts
- attention bias
- attention layers
- attention mechanism
- attention mechanisms
- attention regulation
- attention-based audio processing
- attention-based recommendation systems
- attention-based sequence-to-sequence models
- attentional bias
- attentional capture
- attentional focus
- attentional networks
- attentional processes
- crossmodal attention
- embodied attention