Imformer: an implicit model of attention

Key Points

• The aim is to develop an implicit model of attention that enhances deep learning performance through jointly learned embeddings.
• Developed an implicit deep learning model with an integrated attention mechanism.
• Utilized jointly learned embeddings to improve model efficiency.
• Evaluated the performance of the model on relevant tasks.
• The new model demonstrates enhanced attention features compared to traditional methods.
• Jointly learned embeddings contribute to improved performance metrics.
• Improvements are evident across various deep learning applications.