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 Don't Stop Pretraining: Adapt Language Models to Domains and Tasks Course Materials: ...
SpanBERT: Improving Pre-training by Representing and Predicting Spans Course Materials: ...
Summary & Highlights for Albert Lecture 58 Part 3 Applied Deep Learning
- Transformers are RNNs: Fast Autoregressive Transformers with Linear Attention Course Materials: ...
- Language Models are Unsupervised Multitask Learners Course Materials: https://github.com/maziarraissi/
- Rethinking Attention with Performers Course Materials: https://github.com/maziarraissi/
- Reformer: The Efficient Transformer.
- Longformer: The Long-Document Transformer Course Materials: https://github.com/maziarraissi/
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