2021 IEEE 8th Uttar Pradesh Section International Conference on Electrical, Electronics and Computer Engineering (UPCON) 2021
DOI: 10.1109/upcon52273.2021.9667589
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Impact of Hybridization of Deep Learning Models for Temporal Data Learning

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Cited by 6 publications
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“…These modifications engendered transformer variants in the field (Rao et al, 2021), and thus different applications for public use. For instance, the Google research group presented a Bidirectional Encoder Representations from Transformers (BERT), a transformer-based model pre-trained on a large corpus data and fine-tuned on a specific domain following unsupervised learning approach (Devlin et al, 2019;Chen et al, 2021a;Singh and Jaiswal, 2021).…”
Section: Recent Advancements and Future Directionsmentioning
confidence: 99%
“…These modifications engendered transformer variants in the field (Rao et al, 2021), and thus different applications for public use. For instance, the Google research group presented a Bidirectional Encoder Representations from Transformers (BERT), a transformer-based model pre-trained on a large corpus data and fine-tuned on a specific domain following unsupervised learning approach (Devlin et al, 2019;Chen et al, 2021a;Singh and Jaiswal, 2021).…”
Section: Recent Advancements and Future Directionsmentioning
confidence: 99%