An embedding-based speaker adaptive training (SAT) approach is proposed ...
We introduce new families of Integral Probability Metrics (IPM) for trai...
Recently it has been shown that policy-gradient methods for reinforcemen...
In computer vision pixelwise dense prediction is the task of predicting ...
Very deep CNNs with small 3x3 kernels have recently been shown to achiev...
In this paper, we propose and study random maxout features, which are
co...
In this paper, we present methods in deep multimodal learning for fusing...