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Found 4 papers, 1 papers with code
Reinforcement Learning for Datacenter Congestion Control
We approach the task of network congestion control in datacenters using Reinforcement Learning (RL).
Distance-based Confidence Score for Neural Network Classifiers
The reliable measurement of confidence in classifiers' predictions is very important for many applications and is, therefore, an important part of classifier design.
Every Untrue Label is Untrue in its Own Way: Controlling Error Type with the Log Bilinear Loss
Deep learning has become the method of choice in many application domains of machine learning in recent years, especially for multi-class classification tasks.
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