Convolutional Sequence to Sequence Learning 是 Facebook 在 2017 年发表的论文,提出 ConvS2S 模型。Seq2Seq 模型在自然语言处理、计算机视觉、语音识别等领域都有非常广泛的应用。Seq2Seq模型是Encoder-Decoder结构,当应用在 NLP 领域时,它的编码器和解码器通常都都选择 RNN/ LSTM / GRU / SRU 网络。而这篇论...
Sequence Modelsmake the detailed structure of a task explicit. They show how the task is broken into activities, the intents that people are trying to accomplish in doing the task, the different strategies people use, and the individual steps which make up the task. Sequences are your best ...
The advent of recent high throughput sequencing technologies resulted in unexplored big data of genomics and transcriptomics that might help to answer various research questions in Parkinson's disease (PD) progression. While the literature has revealed various predictive models that use longitudinal ...
And this was a really seminal paper, a huge impact on sequence modelling. I think this paper is one of the more difficult to read. It goes quite along into theory of vanishing gradients. And so, I think more people have learned about the details of LSTM through maybe other places than ...
And this was a really seminal paper, a huge impact on sequence modelling. I think this paper is one of the more difficult to read. It goes quite along into theory of vanishing gradients. And so, I think more people have learned about the details of LSTM through maybe other places than ...
Sequence to sequence modeling has been synonymous with recurrent neural network basedencoder-decoder architectures. The encoder RNN processes an input sequencex= (x1, . . . ,xm) ofmelements and returns state representationsz= (z1, . . . ,zm). The decoder RNN takeszand generates the output ...
We present a mechanism for focusing RNN encoders for sequence modelling tasks which allows them to attend to key parts of the input as needed. We formulate this using a multi-layer conditional sequence encoder that reads in one token at a time and makes a discrete d...
Deep stacked autoencoder sequence to sequence autoencoder bidirectional long short-term memory network wind speed forecasting solar irradiation forecasting 1. Introduction With the rapid development of smart grids, microgrids have been garnering increasing interest as a unique method of power delivery. A...
The use of raw amino acid sequences as input for deep learning models for protein functional prediction has gained popularity in recent years. This scheme obliges to manage proteins with different lengths, while deep learning models require same-shape in
Title: Encoder-decoder models for sequence to sequence mapping United States Patent 10706840 Abstract: Methods, systems, and apparatus for performing speech recognition. In some implementations, acoustic data representing an utterance is obtained. The acoustic data corresponds to time steps in a series ...