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Found 2 papers, 1 papers with code
Scope Loss for Imbalanced Classification and RL Exploration
From our analysis of the aforementioned problems we derive a novel loss function for reinforcement learning and supervised classification.
In Search of Probeable Generalization Measures
Understanding the generalization behaviour of deep neural networks is a topic of recent interest that has driven the production of many studies, notably the development and evaluation of generalization "explainability" measures that quantify model generalization ability.
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