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pro vyhledávání: '"Brellmann, David"'
While overparameterization is known to benefit generalization, its impact on Out-Of-Distribution (OOD) detection is less understood. This paper investigates the influence of model complexity in OOD detection. We propose an expected OOD risk metric to
Externí odkaz:
http://arxiv.org/abs/2411.02184
Temporal Difference (TD) algorithms are widely used in Deep Reinforcement Learning (RL). Their performance is heavily influenced by the size of the neural network. While in supervised learning, the regime of over-parameterization and its benefits are
Externí odkaz:
http://arxiv.org/abs/2310.05518