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Found 6 papers, 1 papers with code
A New Dataset for End-to-End Sign Language Translation: The Greek Elementary School Dataset
A characteristic example is Phoenix2014T benchmark dataset, which only covers weather forecasts in German Sign Language.
Prediction of Influenza A virus infections in humans using an Artificial Neural Network learning approach
In this paper, to accurately predict if an Influenza type A virus has the capability to infect human hosts, by using only the HA gene, is therefore developed and tested.
Variational Bayesian Sequence-to-Sequence Networks for Memory-Efficient Sign Language Translation
Memory-efficient continuous Sign Language Translation is a significant challenge for the development of assisted technologies with real-time applicability for the deaf.
A Self-Attentive Emotion Recognition Network
Modern deep learning approaches have achieved groundbreaking performance in modeling and classifying sequential data.
Deep Network Regularization via Bayesian Inference of Synaptic Connectivity
To alleviate this burden, in this paper we regard the DNN regularization problem from a Bayesian inference perspective: We impose a sparsity-inducing prior over the network synaptic weights, where the sparsity is induced by a set of Bernoulli-distributed binary variables with Beta (hyper-)priors over their prior parameters.
Deep learning with t-exponential Bayesian kitchen sinks
We effect model training by means of approximate inference based on a t-divergence measure; this generalizes the Kullback-Leibler divergence in the context of the t-exponential family of distributions.
