Zobrazeno 1 - 2
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pro vyhledávání: '"Pukowski, Pawel"'
Autor:
Pukowski, Pawel, Lu, Haiping
In the AutoML domain, test accuracy is heralded as the quintessential metric for evaluating model efficacy, underpinning a wide array of applications from neural architecture search to hyperparameter optimization. However, the reliability of test acc
Externí odkaz:
http://arxiv.org/abs/2409.14401
Autor:
Pukowski, Pawel, Lu, Haiping
Despite their limited interpretability, weights and biases are still the most popular encoding of the functions learned by ReLU Neural Networks (ReLU NNs). That is why we introduce SkelEx, an algorithm to extract a skeleton of the membership function
Externí odkaz:
http://arxiv.org/abs/2305.05562