Artificial Intelligence, Technology, Conference, Iclr 2020, Neural Networks.
distribution p(x) can be calculated as the expectation over y: (4) Comparing with equation (1) it is known that exp(-E_θ(x)) = \sum_y exp(fθ(x)[y]), taking the log and reversing the sign on both sides of the equation: which is known as the LogSumExp of the logits, independent of the classifier. If