Podcast
Questions and Answers
Why is it problematic to tie the size of the WordPiece embedding matrix to the size of the hidden layer in BERT?
Why is it problematic to tie the size of the WordPiece embedding matrix to the size of the hidden layer in BERT?
WordPiece embeddings should be context-independent but hidden layers learn context-dependent embeddings.
What is the solution proposed in ALBERT to address the issue of tying the size of the WordPiece embedding matrix to the size of the hidden layer?
What is the solution proposed in ALBERT to address the issue of tying the size of the WordPiece embedding matrix to the size of the hidden layer?
Add projection to lower-dimensional, separately chosen embedding space.
What technique does ALBERT use to replace Masked Language Modeling?
What technique does ALBERT use to replace Masked Language Modeling?
Replaced Token Detection (RTD)
How does ALBERT achieve parameter reduction compared to BERT?
How does ALBERT achieve parameter reduction compared to BERT?
What is the main goal of distillation in ALBERT?
What is the main goal of distillation in ALBERT?
What is the key difference between ALBERT and BERT in terms of the training objective?
What is the key difference between ALBERT and BERT in terms of the training objective?
What are the two unsupervised pre-training tasks used in BERT?
What are the two unsupervised pre-training tasks used in BERT?
What is the purpose of the [CLS] token in BERT?
What is the purpose of the [CLS] token in BERT?
How does BERT handle the issue of bidirectional conditioning being non-trivial?
How does BERT handle the issue of bidirectional conditioning being non-trivial?
What are the two types of special tokens used in BERT?
What are the two types of special tokens used in BERT?
What are the two types of embeddings used in BERT?
What are the two types of embeddings used in BERT?
How did BERT impact the field of Natural Language Processing (NLP)?
How did BERT impact the field of Natural Language Processing (NLP)?
What is the final training objective of DistilBERT according to the text?
What is the final training objective of DistilBERT according to the text?
How does ELECTRA's training objective differ from masked token prediction?
How does ELECTRA's training objective differ from masked token prediction?
What is the main idea behind Skip-thought vectors?
What is the main idea behind Skip-thought vectors?
Explain the process of Sequential Denoising Autoencoders described in the text.
Explain the process of Sequential Denoising Autoencoders described in the text.
What is the extension of word2vec described in the text?
What is the extension of word2vec described in the text?
What is the significance of treating the document id as a 'virtual word' in Paragraph Vectors?
What is the significance of treating the document id as a 'virtual word' in Paragraph Vectors?
