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Found 5 papers, 5 papers with code
Cost-effective Interactive Attention Learning with Neural Attention Process
Moreover, it is almost infeasible for the human annotators to examine attentions on tons of instances and features.
Cost-effective Interactive Attention Learning with Neural Attention Processes
Moreover, it is almost infeasible for the human annotators to examine attentions on tons of instances and features.
Why Not to Use Zero Imputation? Correcting Sparsity Bias in Training Neural Networks
Among many approaches, the simplest and most intuitive way is zero imputation, which treats the value of a missing entry simply as zero.
Deep Mixed Effect Model using Gaussian Processes: A Personalized and Reliable Prediction for Healthcare
We present a personalized and reliable prediction model for healthcare, which can provide individually tailored medical services such as diagnosis, disease treatment, and prevention.
Uncertainty-Aware Attention for Reliable Interpretation and Prediction
Attention mechanism is effective in both focusing the deep learning models on relevant features and interpreting them.
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