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AS @JackKelly pointed out, the PerceiverIO paper uses a learnt embedding for the modality, while this uses a one-hot vector instead. Switching to a learnt embedding might be better?
Context
Possible Implementation
A torch.nn.Embedding with a vocab size set to the number of data sources
The text was updated successfully, but these errors were encountered:
Detailed Description
AS @JackKelly pointed out, the PerceiverIO paper uses a learnt embedding for the modality, while this uses a one-hot vector instead. Switching to a learnt embedding might be better?
Context
Possible Implementation
A torch.nn.Embedding with a vocab size set to the number of data sources
The text was updated successfully, but these errors were encountered: