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Found 2 papers, 2 papers with code
Bayesian regression tree models for causal inference: regularization, confounding, and heterogeneous effects
This paper develops a semi-parametric Bayesian regression model for estimating heterogeneous treatment effects from observational data.
Methodology
Memory-augmented conformer for improved end-to-end long-form ASR
Conformers have recently been proposed as a promising modelling approach for automatic speech recognition (ASR), outperforming recurrent neural network-based approaches and transformers.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
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