CMU Advanced NLP: Pre-training Methods

CMU Advanced NLP: Pre-training Methods

Graham Neubig via YouTube Direct link

Introduction

1 of 25

1 of 25

Introduction

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Classroom Contents

CMU Advanced NLP: Pre-training Methods

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  1. 1 Introduction
  2. 2 Neural Networks
  3. 3 Goals
  4. 4 Multitasking learning
  5. 5 Level of variety
  6. 6 Multitasking
  7. 7 Related Tasks
  8. 8 Multitask Learning
  9. 9 Pretraining
  10. 10 Pretraining Methods
  11. 11 Sentence Representations
  12. 12 Sentence Pair Classification
  13. 13 Sentence Pair Classification Examples
  14. 14 Semantic Similarity Relatedness
  15. 15 Textual entailment
  16. 16 Methods
  17. 17 Autoencoder
  18. 18 Skip thought vectors
  19. 19 Paraphrasebased contrastive learning
  20. 20 Largescale paraphrasing
  21. 21 Multitasking entailment
  22. 22 Supervised training
  23. 23 Sentence transformers
  24. 24 Context effect
  25. 25 Masking

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