Introduction to Albert Lecture 58 Part 3 Applied Deep Learning
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Albert Lecture 58 Part 3 Applied Deep Learning Comprehensive Overview
ALBERT BERT: Pre-training of Language Models are Unsupervised Multitask Learners Course Materials: https://github.com/maziarraissi/
Longformer: The Long-Document Transformer Course Materials: https://github.com/maziarraissi/
Summary & Highlights for Albert Lecture 58 Part 3 Applied Deep Learning
- Transformers are RNNs: Fast Autoregressive Transformers with Linear Attention Course Materials: ...
- Don't Stop Pretraining: Adapt Language Models to Domains and Tasks Course Materials: ...
- ELECTRA: Pre-training Text Encoders as Discriminators Rather Than Generators Course Materials: ...
- Rethinking Attention with Performers Course Materials: https://github.com/maziarraissi/
- Linguistic Regularities in Continuous Space Word Representations Course Materials: ...
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