L19.5.2.6 BART:  Combining Bidirectional and Auto-Regressive Transformers @SebastianRaschka
L19.5.2.6 BART:  Combining Bidirectional and Auto-Regressive Transformers  @SebastianRaschka
Uploaded May 2021 | Updated September 2026, 2 weeks ago
Sebastian's books: sebastianraschka.com/books

Slides: sebastianraschka.com/pdf/lecture-notes/stat453ss21/L19_seq2seq_rnn-transformers__slides.pdf

0:00 Introduction
0:33 BART. Combining Bidirectional and Auto-Regressive Transformers
2:14 BART. BERT Encoder + GPT Decoder - Noise Transformations
4:39 Noise Transformations in BART for Pre-Training on Unlabeled Data
6:19 BART Performance Under Different Noise Transformations
7:04 Fine-Tuning on Labeled Data
8:21 BART Performance for Discriminative Tasks
9:26 BART Performance for Generative Tasks

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This video is part of my Introduction of Deep Learning course.

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A handy overview page with links to the materials: sebastianraschka.com/blog/2021/dl-course.html

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Sebastian Raschka |

L19.5.2.6 BART: Combining Bidirectional and Auto-Regressive Transformers

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