byeq
e2db7186375992e729165726762cb4c1-Supplemental.pdf
This paper identifies astructural property of data distributions that enables deep neural networks to learn hierarchically.
xTV0[j ] ReLU:max (,0)
By Eq. (103) and Condition 2, we have
TheDiversifiedEnsembleNeuralNetwork
Meanwhile, the devised ensemble layer can be readily integrated into popular neuralarchitectures, including CNNs,RNNs,andGCNs.
552260cfb5e292e511eaa780806ac984-Supplemental-Conference.pdf
Generalisation and efficiency ofmodelrepairment In practice the numberoffailure casesmight be large or even infinite. Optimisation For all experiments, we employ the same training scheme unless otherwise stated.