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09/30/2020
Learning Hard Retrieval Cross Attention for Transformer
The Transformer translation model that based on the multi-head attention...
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07/13/2020
Transformer with Depth-Wise LSTM
Increasing the depth of models allows neural models to model complicated...
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06/25/2020
Learning Source Phrase Representations for Neural Machine Translation
The Transformer translation model (Vaswani et al., 2017) based on a mult...
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05/05/2020
Dynamically Adjusting Transformer Batch Size by Monitoring Gradient Direction Change
The choice of hyper-parameters affects the performance of neural models....
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03/21/2020
Analyzing Word Translation of Transformer Layers
The Transformer translation model is popular for its effective paralleli...
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11/08/2019
Why Deep Transformers are Difficult to Converge? From Computation Order to Lipschitz Restricted Parameter Initialization
The Transformer translation model employs residual connection and layer ...
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08/09/2019
UdS Submission for the WMT 19 Automatic Post-Editing Task
In this paper, we describe our submission to the English-German APE shar...
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03/18/2019
