Abstract: Mamba and its variants excel at modeling long-range dependencies with linear computational complexity, making them effective for diverse vision tasks. However, Mamba’s reliance on unfolding ...

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These are examples of state changes and sequential reasoning that we expect state-of-the-art artificial intelligence systems to excel at; however, the existing, cutting-edge attention mechanism within ...

Oracle's debt is rising as cash flies out the door to fund AI data centers. The company already has a debt-heavy balance sheet, and it will need to borrow more to fund its AI infrastructure contracts.

This project implements Vision Transformer (ViT) for image classification. Unlike CNNs, ViT splits images into patches and processes them as sequences using transformer architecture. It includes patch ...

Rotary Positional Embedding (RoPE) is a widely used technique in Transformers, influenced by the hyperparameter theta (θ). However, the impact of varying *fixed* theta values, especially the trade-off ...

1 Student Affairs Department of the Party Committee of Guangxi Vocational College of Water Resources and Electric Power, Nanning, China 2 Institute of Semiconductors, Chinese Academy of Sciences, ...

First introduced in this Google paper, skewed relative positional encoding (RPE) is an efficient way to enhance the model's knowledge of inter-token distances. The 'skewing' mechanism allows us to ...