Motivated by applications to resource-limited and safety-critical domain...
We propose a novel method for selective classification (SC), a problem w...
Recurrent neural networks (RNNs) are particularly well-suited for modeli...
Recurrent neural networks (RNNs) are particularly well-suited for modeli...
We propose a novel Equilibrated Recurrent Neural Network (ERNN) to
comb...