Bayes risk CTC: Controllable CTC alignment in Sequence-to-Sequence tasksopenreview.net/forum?id=Bd7GueaTxUz 一个非常漂亮的关于CTC的拓展. 最直接的insight是作者注意到CTC在的训练过程中会考虑所有的合法对齐,即输出序列可以对应很多个CTC路径,并且每条路径都是平等对待的,这导致了预测CTC路径的不确定性,...
This example shows how to classify each time step of sequence data using a generic temporal convolutional network (TCN). While sequence-to-sequence tasks are commonly solved with recurrent neural network architectures, Bai et al. [1] show that convolutional neural networks can match the perform...
Seq2Seq, or Sequence To Sequence, is a model used in sequence prediction tasks, such as language modelling and machine translation. The idea is to use one LSTM, the encoder, to read the input sequence one timestep at a time, to obtain a large fixed dimensional vector representation (a co...
Tasks & Modalities 跨模态和单模态的理解和生成等任务都被建模成Seq2Seq任务。每个任务的区别使用任务指令区分 任务指令: visual grounding(VG):"Which region does the textx_tdescribe?"x_t是文本描述 grounded captioning(GC):“What does theregion describe? region:<x_1,y_2,x_2,y_2>”,<x_1,y_...
In the Connect record to sequence dialog box, connect the required sequences. For connecting multiple sequences, verify that the record owner or the sequence owner has the necessary permissions. More information: Through the record type grid view....
Sequences have become first class citizens in supervised learning thanks to the resurgence of recurrent neural networks. Many complex tasks that require mapping from or to a sequence of observations can now be formulated with the sequence-to-sequence (seq2seq) framework which employs the chain rule...
RNNSharp is a toolkit of deep recurrent neural network which is widely used for many different kinds of tasks, such as sequence labeling, sequence-to-sequence and so on. It's written by C# language and based on .NET framework 4.6 or above versions. RNNSh
Sequence to sequence models are successful tools for supervised sequence learning tasks, such as machine translation. Despite their success, these models still require much labeled data and it is unclear how to improve them using unlabeled data, which is much less expensive to obtain. In this pape...
Using the word encoding, convert the source text data to numeric sequences. Get sequencesSource = doc2sequence(encSource,documentsSource,PaddingDirection="none"); Convert the target data to sequences using the same steps. Get strTarget = dataTrain.Target; ...