Filtering Attention: A Fresh Perspective on Transformer Design
Analysis
Key Takeaways
- •The core idea is to structure attention heads like a physical filter, handling information at different granularities.
- •This approach aims to improve efficiency and potentially enhance the interpretability of transformer models.
- •The concept leverages prior research in long-range attention and dilated convolutions.
“What if you explicitly constrained attention heads to specific receptive field sizes, like physical filter substrates?”