Transformers

Fibottention: Inceptive Visual Representation Learning with Diverse Attention Across Heads
Visual perception tasks are predominantly solved by Vision Transformer (ViT) architectures, which, despite their effectiveness, …
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UnitNorm: Rethinking Normalization for Transformers in Time Series
Normalization techniques are crucial for enhancing Transformer models’ performance and stability in time series analysis tasks, yet …
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