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Found 2 papers, 2 papers with code
What is the Effect of Importance Weighting in Deep Learning?
Importance-weighted risk minimization is a key ingredient in many machine learning algorithms for causal inference, domain adaptation, class imbalance, and off-policy reinforcement learning.
Protein Interface Prediction using Graph Convolutional Networks
We consider the prediction of interfaces between proteins, a challenging problem with important applications in drug discovery and design, and examine the performance of existing and newly proposed spatial graph convolution operators for this task.
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