Transformer-Evolution-Paper

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Normalize_And_Residual

ReZero is All You Need Fast Convergence at Large Depth Batch Normalization Biases Residual Blocks Towards the Identity Function in Deep Networks Improving Deep Transformer with Depth-Scaled Initialization and Merged Attention RealFormer Transformer Likes Residual Attention On Layer Normalizations and Residual Connections in Transformers Transformers without Tears: Improving the Normalization of Self-Attention Query-Key Normalization for Transformers Understanding the difficulty of training transformers

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Last updated 2 years ago