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Found 2 papers, 1 papers with code
The Monte Carlo Transformer: a stochastic self-attention model for sequence prediction
This paper introduces the Sequential Monte Carlo Transformer, an original approach that naturally captures the observations distribution in a transformer architecture.
On Last-Layer Algorithms for Classification: Decoupling Representation from Uncertainty Estimation
Uncertainty quantification for deep learning is a challenging open problem.
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