A DECODER-ONLY FOUNDATION MODEL FOR TIME-SERIES FORECASTING 对应paperhttps://arxiv.org/pdf/2310.10688 这是今年google的一篇通过transformer解决时序预测问题的paper,在github上也有对应开源代码。它的特点是想看看pretrain的model能否用于找到时序预测的一般范式,也就是说,它支持zero-shot prediction。 同时,按文中...
6.2、Model Variations To evaluate the importance of different components of the Transformer, we varied our base model in different ways, measuring the change in performance on English-to-German translation on the development set, newstest2013. We used beam search as described in the previous sectio...
The dominant sequence transduction models are based on complex recurrent or convolutional neural networks that include an encoder and a decoder. The best performing models also connect the encoder and decoder through an attention mechanism. We propose a new simple network architecture, theTransformer, b...
In this work we propose the Transformer, a model architecture eschewing recurrence and instead relying entirely on an attention mechanism to draw global dependencies between input and output. The Transformer allows for significantly more parallelization and can reach a new state of the art in translati...
Google 最早的那篇关于transformer的奠基性paper,八个作者里六个出生于美国之外,另外两个是来自德国的二代移民。 OpenAI的首席科学家Ilya是前苏联生人。 最近去微软负责其AI部门的前DeepMind cofounder Musta...
Title: Rethinking Local Perception in Lightweight Vision Transformer Paper:https://arxiv.org/pdf/...
在宽度跟batch size的问题上面,这个跟之前Chen et al. (2018) 的结论是一样的 (https://arxiv.org/pdf/1806.03791.pdf),不过在transformer上面是有一点出入的,transformer反而是窄而浅的模型batch size能更好的利用起来。这个文中没有解释为什么,感觉有段玄学,哪个大佬可以过来在评论区教育我一下这个问题。
Paper:Transformer模型起源—2017年的Google机器翻译团队—《Transformer:Attention Is All You Need》翻译并解读-20230802版 Abstract 基于RNN/CNN的ED架构→带Attention的ED架构→Transformer架构 The dominant sequence transduction models are based on complex recurrent or convolutional neural networks that include an ...
简介:Paper:2017年的Google机器翻译团队《Transformer:Attention Is All You Need》翻译并解读 6.2、Model Variations To evaluate the importance of different components of the Transformer, we varied our base model in different ways, measuring the change in performance on English-to-German translation on the...
Open source Scaling Transformer Paper to Google Research Github. Feb 1, 2022 scann Internal changes Sep 26, 2024 schema_guided_dst Open-sourcing the code for "CLIP as RNN: Segment Countless Visual Con… Jan 23, 2024 schptm_benchmark [scipy] Add pytype suppressions to fix new pytype errors...