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