Self-Supervised Learning - Stanford University
•Language models (e.g., GPT) •Masked language models (e.g., BERT) 3. Open challenges •Demoting bias •Capturing factual knowledge •Learning symbolic reasoning 2. 3 Data Labelers Pretraining Task Downstream Tasks ... •Loss function (skip-gram): For a corpus with !words, ...
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