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Found 2 papers, 2 papers with code
Investigating the Histogram Loss in Regression
It is becoming increasingly common in regression to train neural networks that model the entire distribution even if only the mean is required for prediction.
Recurrent Linear Transformers
In this paper we introduce recurrent alternatives to the transformer self-attention mechanism that offer a context-independent inference cost, leverage long-range dependencies effectively, and perform well in practice.
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