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Found 5 papers, 4 papers with code
Awareness of uncertainty in classification using a multivariate model and multi-views
The proposed model regularizes uncertain predictions, and trains to calculate both the predictions and their uncertainty estimations.
FFC-SE: Fast Fourier Convolution for Speech Enhancement
The FFC operator allows employing large receptive field operations within early layers of the neural network.
HiFi++: a Unified Framework for Bandwidth Extension and Speech Enhancement
Generative adversarial networks have recently demonstrated outstanding performance in neural vocoding outperforming best autoregressive and flow-based models.
Variational Autoencoder with Arbitrary Conditioning
We propose a single neural probabilistic model based on variational autoencoder that can be conditioned on an arbitrary subset of observed features and then sample the remaining features in "one shot".
Adaptive Cardinality Estimation
The experimental evaluation shows that this approach significantly increases the quality of cardinality estimation, and therefore increases the DBMS performance for some queries by several times or even by several dozens of times.
