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Found 3 papers, 2 papers with code
cRedAnno+: Annotation Exploitation in Self-Explanatory Lung Nodule Diagnosis
Recently, attempts have been made to reduce annotation requirements in feature-based self-explanatory models for lung nodule diagnosis.
Reducing Annotation Need in Self-Explanatory Models for Lung Nodule Diagnosis
Visualisation of the learned space further indicates that the correlation between the clustering of malignancy and nodule attributes coincides with clinical knowledge.
Towards Understanding Deep Policy Gradients: A Case Study on PPO
Deep reinforcement learning has shown impressive performance on many decision-making problems, where deep policy gradient algorithms prevail in continuous action space tasks.
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