Transformer-Evolution-Paper
Ctrlk
  • README
  • 数学符号
  • Act
  • Arch
  • FFN
  • Head
  • Memory
  • MHA
  • 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
  • Pe
  • Pretrain
  • Softmax
  • Others
  • LongConv
  • Rnn
  • CrossAttention
  • Inference
  • Peft
  • LLM
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Normalize_And_Residual

ReZero is All You Need Fast Convergence at Large DepthBatch Normalization Biases Residual Blocks Towards the Identity Function in Deep NetworksImproving Deep Transformer with Depth-Scaled Initialization and Merged AttentionRealFormer Transformer Likes Residual AttentionOn Layer Normalizations and Residual Connections in TransformersTransformers without Tears: Improving the Normalization of Self-AttentionQuery-Key Normalization for TransformersUnderstanding the difficulty of training transformers
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Last updated 2 years ago