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Transformer

Known as: Magnetizing current, Electrical transformer, Primary 
A transformer is an electrical device that transfers electrical energy between two or more circuits through electromagnetic induction… 
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Papers overview

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Highly Cited
2020
Highly Cited
2020
Large Transformer models routinely achieve state-of-the-art results on a number of tasks but training these models can be… 
Highly Cited
2020
Highly Cited
2020
Recently Transformer and Convolution neural network (CNN) based models have shown promising results in Automatic Speech… 
Highly Cited
2020
Highly Cited
2020
We present a new method that views object detection as a direct set prediction problem. Our approach streamlines the detection… 
Highly Cited
2020
Highly Cited
2020
Transfer learning, where a model is first pre-trained on a data-rich task before being fine-tuned on a downstream task, has… 
Highly Cited
2020
Highly Cited
2020
Recent progress in natural language processing has been driven by advances in both model architecture and model pretraining… 
Highly Cited
2019
Highly Cited
2019
Transformers have a potential of learning longer-term dependency, but are limited by a fixed-length context in the setting of… 
Highly Cited
2019
Highly Cited
2019
Recent progress in natural language processing has been driven by advances in both model architecture and model pretraining… 
Highly Cited
2018
Highly Cited
2018
Image generation has been successfully cast as an autoregressive sequence generation or transformation problem. Recent work has… 
Highly Cited
2015
Highly Cited
2015
Convolutional Neural Networks define an exceptionally powerful class of models, but are still limited by the lack of ability to… 
Highly Cited
2002
Highly Cited
2002
The distribution transformer has been in use by utilities throughout the twentieth century. Until now, it has consisted of a…