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Neural Networks Out-of-Distribution Detection: Hyperparameter-Free Isotropic Maximization Loss, The Principle of Maximum Entropy, Cold Training, and Branched Inferences.
David Macêdo
Teresa Bernarda Ludermir
Published in:
CoRR (2020)
Keyphrases
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neural network
principle of maximum entropy
training process
maximum entropy
objective function
training set
probability distribution
genetic algorithm
lower bound
support vector machine
supervised learning
higher order
graph cuts
sufficient conditions
random variables
stereo matching