Elliptical attention
Pairwise dot-product self-attention is key to the success of transformers that achieve state-of-
the-art performance across a variety of applications in language and vision. This dot-product …
the-art performance across a variety of applications in language and vision. This dot-product …
Value Residual Learning For Alleviating Attention Concentration In Transformers
Z Zhou, T Wu, Z Jiang, Z Lan - arXiv preprint arXiv:2410.17897, 2024 - arxiv.org
Transformers can capture long-range dependencies using self-attention, allowing tokens to
attend to all others directly. However, stacking multiple attention layers leads to attention …
attend to all others directly. However, stacking multiple attention layers leads to attention …
Transformer-based Graph Neural Networks for Battery Range Prediction in AIoT Battery-Swap Services
The concept of the sharing economy has gained broad recognition, and within this context,
Sharing E-Bike Battery (SEB) have emerged as a focal point of societal interest. Despite the …
Sharing E-Bike Battery (SEB) have emerged as a focal point of societal interest. Despite the …