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Multi-Task Learning in Transformer-Based Architectures for Natural Language Processing

Multi-Task Learning in Transformer-Based Architectures for Natural Language Processing

Data Science Conference via YouTube Direct link

Function Composition

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Function Composition

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Multi-Task Learning in Transformer-Based Architectures for Natural Language Processing

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  1. 1 Intro
  2. 2 Outline
  3. 3 Agenda
  4. 4 Bird Paper
  5. 5 Architecture
  6. 6 Problems
  7. 7 Adapters
  8. 8 Modularity
  9. 9 Compositions
  10. 10 Overview
  11. 11 Function Composition
  12. 12 Input Composition
  13. 13 Parameter Composition
  14. 14 Fusion
  15. 15 Hyper Networks
  16. 16 Shared Hyper Networks
  17. 17 Chad GP
  18. 18 Questions

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