Towards Extreme Multi-Task Scaling for Transfer Learning

Towards Extreme Multi-Task Scaling for Transfer Learning

Yannic Kilcher via YouTube Direct link

- A few hypotheses about what's going on

8 of 11

8 of 11

- A few hypotheses about what's going on

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Towards Extreme Multi-Task Scaling for Transfer Learning

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  1. 1 - Intro & Overview
  2. 2 - Recap: The T5 model
  3. 3 - The ExT5 model and task formulations
  4. 4 - ExMix dataset
  5. 5 - Do different tasks help each other?
  6. 6 - Which tasks should we include?
  7. 7 - Pre-Training vs Pre-Finetuning
  8. 8 - A few hypotheses about what's going on
  9. 9 - How much self-supervised data to use?
  10. 10 - More experimental results
  11. 11 - Conclusion & Summary

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