Test-time adaptation is a promising research direction that allows the s...
In this work, we improve the generative replay in a continual learning
s...
In this work, we introduce a framework for cross-lingual speech synthesi...
In this work, we investigate exemplar-free class incremental learning (C...
Neural text-to-speech systems are often optimized on L1/L2 losses, which...
Recent years have seen impressive progress in visual recognition on many...
While recent computer vision algorithms achieve impressive performance o...
Model compression techniques allow to significantly reduce the computati...