Transformer-Evolution-Paper
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  • README
  • 数学符号
  • Act
  • Arch
  • FFN
  • Head
  • Memory
  • MHA
    • FFT
    • LocalGlobal
    • MatrixMethod
    • RightProduct
    • SparseOrLowRank
    • Others
      • Synthesizer: Rethinking Self-Attention in Transformer Models
      • Transformer Dissection: A Unified Understanding of Transformer's Attention via the Lens of Kern
      • Combiner Full Attention Transformer with Sparse Computation Cost
      • Ripple Attention for Visual Perception with Sub-quadratic Complexity
      • Sinkformers: Transformers with Doubly Stochastic Attention
      • SOFT: Softmax-free Transformer with Linear Complexity
      • Value-aware Approximate Attention
      • EL-Attention: Memory Efficient Lossless Attention for Generation
      • Flowformer: Linearizing Transformers with Conservation Flows
      • ETSformer: Exponential Smoothing Transformers for Time-series Forecasting
      • IGLOO: Slicing the Features Space to Represent Sequences
      • Swin Transformer V2: Scaling Up Capacity and Resolution
      • Skip-Attention: Improving Vision Transformers by Paying Less Attention
  • Normalize_And_Residual
  • Pe
  • Pretrain
  • Softmax
  • Others
  • LongConv
  • Rnn
  • CrossAttention
  • Inference
  • Peft
  • LLM
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Synthesizer: Rethinking Self-Attention in Transformer ModelsTransformer Dissection: A Unified Understanding of Transformer's Attention via the Lens of KernCombiner Full Attention Transformer with Sparse Computation CostRipple Attention for Visual Perception with Sub-quadratic ComplexitySinkformers: Transformers with Doubly Stochastic AttentionSOFT: Softmax-free Transformer with Linear ComplexityValue-aware Approximate AttentionEL-Attention: Memory Efficient Lossless Attention for GenerationFlowformer: Linearizing Transformers with Conservation FlowsETSformer: Exponential Smoothing Transformers for Time-series ForecastingIGLOO: Slicing the Features Space to Represent SequencesSwin Transformer V2: Scaling Up Capacity and ResolutionSkip-Attention: Improving Vision Transformers by Paying Less Attention
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Last updated 2 years ago