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Found 3 papers, 2 papers with code
Calibrating Where It Matters: Constrained Temperature Scaling
We consider calibration of convolutional classifiers for diagnostic decision making.
Unsupervised Representation Learning from Pathology Images with Multi-directional Contrastive Predictive Coding
Feature representations learned from unannotated data using contrastive predictive coding (CPC) have been shown to enable classifiers to obtain state of the art performance from relatively small amounts of annotated computer vision data.
Deep Reinforcement Learning for Multi-Domain Dialogue Systems
Standard deep reinforcement learning methods such as Deep Q-Networks (DQN) for multiple tasks (domains) face scalability problems.
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