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GitHub4y
Implementation of Sketch-BERT: Learning Sketch Bidirectional Encoder Representation from Transformers by Self-supervised Learning of Sketch Gestalt. - GitHub
To this end and inspired by the recent BERT model , we present a model of learning Sketch Bidirectional Encoder Representation from Transformer (Sketch-BERT). We generalize BERT to sketch domain, with ...
GitHub1y
04.Transformer Models and BERT Model.MD - GitHub
A transformer is an encoder decoder model that uses the attention mechanism. Attention mechanism helps improve the performance of machine translation applications. Transformer models were built using ...
IEEE1y
Effect of Encoder Architectures on the Generation of Vector Representations for Modeling 3D Objects via the Space of Convex Sets | IEEE Conference Publication | IEEE Xplore
This paper presents a study on the effect of different encoder architectures on the generation of vector representations for 3D object models. The central model is an autoencoder: the encoder ...
IEEE5mon
On the Dependability of Bidirectional Encoder Representations from Transformers (BERT) to Soft Errors - IEEE Xplore
Transformers are widely used in natural language processing and computer vision, and Bidirectional Encoder Representations from Transformers (BERT) is one of the most popular pre-trained transformer ...
Forbes5y
Google Uses BERT Technology To Develop Its Search Results - Forbes
Google has recently gone live with their latest update that involves the use of BERT technology in search engine results. According to HubSpot, Google processes over 70 000 search inquiries per ...