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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
GitHub - Atharvachouthai/Sentiment-Analysis-Using-BERT: This is a repository for Sentiment analysis using the Bidirectional Encoders Representations from Transformer (BERT) on ...
This is a repository for Sentiment analysis using the Bidirectional Encoders Representations from Transformer (BERT) on IMDB dataset of 50K values and fined tuned the BERT model. What is BERT? BERT ...
marktechpost1y
Meet MosaicBERT: A BERT-Style Encoder Architecture and Training Recipe that is Empirically Optimized for Fast Pretraining - MarkTechPost
The researchers pretrained BERT-Base and MosaicBERT-Base for 70,000 steps of batch size 4096 and then finetuned them on the GLUE benchmark suite. BERT-Base reached an average GLUE score of 83.2% in 11 ...
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 ...