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categorical_data [2017/08/31 10:55]
127.0.0.1 external edit
categorical_data [2018/07/02 19:15] (current)
admin
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 https://​github.com/​maciejkula/​spotlight/​tree/​master/​examples/​bloom_embeddings https://​github.com/​maciejkula/​spotlight/​tree/​master/​examples/​bloom_embeddings
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 +https://​arxiv.org/​abs/​1806.10805v1 Beyond One-hot Encoding: lower dimensional target embedding
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 +Our contribution is two fold: (i) We show that random projections of the label space are a valid tool to find such lower dimensional embeddings, boosting dramatically convergence rates at zero computational cost; and (ii) we propose a normalized eigenrepresentation of the class manifold that encodes the targets with minimal information loss, improving the accuracy of random projections encoding while enjoying the same convergence rates.