论文链接：https://arxiv.org/pdf/1706.03762.pdf3. On Layer Normalization in the Transformer Architecture (2020)虽然原始Transformer论文中的图很好地展现了编码器-解码器架构，但与具体代码实现存在细微差异，比如层归一化（LayerNorms）在残差块之间等，文中显示的变体也被称为Post-LN Transformer。论文链接：...
3. On Layer Normalization in the Transformer Architecture (2020) 虽然原始Transformer论文中的图很好地展现了编码器-解码器架构,但与具体代码实现存在细微差异,比如层归一化(LayerNorms)在残差块之间等,文中显示的变体也被称为Post-LN Transformer。 论文链接: https://arxiv.org/pdf/2002.04745.pdf Transformer架...
论文链接:https://arxiv.org/pdf/1706.03762.pdf 3. On Layer Normalization in the Transformer Architecture (2020) 虽然原始Transformer论文中的图很好地展现了编码器-解码器架构,但与具体代码实现存在细微差异,比如层归一化(LayerNorms)在残差块之间等,文中显示的变体也被称为Post-LN Transformer。 论文链接:http...
This architecture can be further adapted for streaming speech recognition. Conclusion In this paper, the Transformer architecture for automatic recognition of Kazakh continuous speech was considered, which uses self-attention components. Despite the multiple model parameters that need to be tuned, the tra...
Research Paper:An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale overview of the paper figure 1: visual overview of the architecture four equations: math equations which define the function of each layer/block table 1/3: different hyperparameters for the architecture/traini...
Model architecture We implemented the model with PyTorch framework (ver. 1.8, except for the model with pre-LN structure). Parameters and model architecture were determined according to the original Transformer in ref.31; the dimension of the model was 512, the dimension of the feed-forward laye...
Transformers were inspired by the encoder-decoder architecture found in RNNs. However, Instead of using recurrence, the Transformer model is completely based on the Attention mechanism. Besides improving RNN performance, Transformers have provided a new architecture to solve many other tasks, such as ...
[Paper] SpectFormer: "SpectFormer: Frequency and Attention is what you need in a Vision Transformer", arXiv, 2023 (Microsoft). [Paper][Code][Website] UniNeXt: "UniNeXt: Exploring A Unified Architecture for Vision Recognition", arXiv, 2023 (Alibaba). [Paper] CageViT: "CageViT: ...
It is foundational architecture for LLMs, simultaneously achieving training parallelism, low-cost inference, and good performance. (它是LLMs的基础架构,同时实现了训练并行性、低成本推理和良好的性能。) 下面的图片显示了相对于传统的Transformer架构的性能提升。 论文的目标已经清楚了,我们试着了解一下是如何实...
Swin Transformer28 has been proposed by Microsoft Research in 2021 as a deep neural network model based on the Transformer architecture. Its primary objective is to extend the application of the Transformer model into the realm of image processing by incorporating a layered window attention mechanism...