ContinualAI / ContinualAI/continual-learning-baselines
Table notation for reproducibility
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- Dominant language
- Python
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Description
I propose to switch the notation. Right now we have:
- ✅ Reproduced
- ❌ Custom setup
- `bug` for bugs
IMO, this is very confusing at a first glance. If I see a big red cross I immediately think there is a problem with the strategy. In this case, everything is actually correct, we just changed some hyperparameters or tested a new benchmark.
Instead we could have two separate columns:
- **Reproduced**: ✅ if correct, ❌ if bugged
- **Reference**: link to the paper, or link to avalanche or `custom` tag if not using any paper.
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