Deep Encoder, Shallow Decoder: Reevaluating Non-autoregressive Machine TranslationJungo KasaiNikolaos PappasHao PengJames CrossNoah SmithInternational Conference on Learning Representations
《Deep Encoder, Shallow Decoder: Reevaluating the Speed-Quality Tradeoff in Machine Translation》J Kasai, N Pappas, H Peng, J Cross, N A. Smith [University of Washington & Facebook AI & Allen Institute for AI] (2020) O网页链接 view:O网页链接 k...
如上图,我们将input输入一个encoder编码器,就会得到一个code,这个code也就是输入的一个表示,那么我们怎么知道这个code表示的就是input呢?我们加一个decoder解码器,这时候decoder就会输出一个信息,那么如果输出的这个信息和一开始的输入信号input是很像的(理想情况下就是一样的),那很明显,我们就有理由相信这个code是靠...
我们加一个decoder解码器,这时候decoder就会输出一个信息,那么如果输出的这个信息和一开始的输入信号input是很像的(理想情况下就是一样的),那很明显,我们就有理由相信这个code是靠谱的。所以,我们就通过调整encoder和decoder的参数,使得重构误差最小,这时候我们就得到了输入input信号的第一个表示了,也就是编码code了。
六、浅层学习(Shallow Learning)和深度学习(Deep Learning) 七、Deep learning与Neural Network 八、Deep learning训练过程 8.1、传统神经网络的训练方法 8.2、deep learning训练过程 九、Deep Learning的常用模型或者方法 9.1、AutoEncoder自动编码器 9.2、Sparse Coding稀疏编码 ...
六、浅层学习(Shallow Learning)和深度学习(Deep Learning) 七、Deep learning与Neural Network 八、Deep learning训练过程 8.1、传统神经网络的训练方法 8.2、deep learning训练过程 九、Deep Learning的常用模型或者方法 9.1、AutoEncoder自动编码器 9.2、Sparse Coding稀疏编码 ...
六、浅层学习(Shallow Learning)和深度学习(Deep Learning) 七、Deep learning与Neural Network 八、Deep learning训练过程 8.1、传统神经网络的训练方法 8.2、deep learning训练过程 九、Deep Learning的常用模型或者方法 9.1、AutoEncoder自动编码器 9.2、Sparse Coding稀疏编码 ...
then they are given to the encoder-decoder-based network to map this sequence (the text with errors) to the target sequence (corrected text). At the input of this network, a FastText-based word embedding layer was placed, which converted integers into vectors with dimensions of 300 dimensions...
Shallow or Deep? Detecting Anomalous Flows in the Canadian Automated Clearing and Settlement System using an AutoencoderAnomaly DetectionAutoencoderNeural NetworkArticial intelligenceACSSFinancial Market InfrastructureRetail PaymentsFinancial market infrastructures and their participants play a crucial role in the...
drone; encoder–decoder; forest fire and smoke segmentation; deep-learning1. Introduction Fire disasters cause significant harm to human life and property. Therefore, it is critical to establish appropriate, swift, cost-effective, and portable fire-detection systems for the general public. Several ...