Computing gradients of an expectation with respect to the distributional...
State-of-the-art non-autoregressive text-to-speech (TTS) models based on...
Self-supervised learning (SSL) has recently shown remarkable results in
...
The estimation of the generalization error of classifiers often relies o...
Sparse active illumination enables precise time-of-flight depth sensing ...
Parallel text-to-speech (TTS) models have recently enabled fast and
high...
Voice conversion has gained increasing popularity in many applications o...
Low-bit quantization of network weights and activations can drastically
...
Recently, predictor-based algorithms emerged as a promising approach for...
In recent years generative adversarial network (GAN) based models have b...
We propose differentiable quantization (DQ) for efficient deep neural ne...
Operating deep neural networks on devices with limited resources require...
Music source separation with deep neural networks typically relies only ...