Machine Learning, Loss Function, Deep Learning, Heartbeat, Mlops.
experimentation, the authors added synthetic noise to MNIST and CIFAR-100 datasets. The results obtained with their bi-temperature loss function was then compared to the vanilla logistic loss function. The bi-temperature loss obtains an accuracy of 98.56% on MNIST and 62.5% ON CIFAR-100. The figure