Abstract: The L2-normalization and feature pooling have a wide range of applications in image classification and have also achieved remarkable results. However, there is much room for the existing ...

L2 normalization is typically applied to vision and text features before computing similarity scores, especially in retrieval-style tasks where cosine similarity is appropriate. However, in purely ...

Abstract: Transformer-based large language models are a memory-bound model whose operation is based on a large amount of data that are marginally reused. Thus, the data movement between a host and ...