Automatic Speech Recognition (ASR) models need to be optimized for speci...
Large language models have proven themselves highly flexible, able to so...
State space models (SSMs) have recently shown promising results on
small...
Neural transducers have gained popularity in production ASR systems,
ach...
Graph neural networks (GNNs) have shown superiority in many prediction t...
Cross-device federated learning (FL) protects user privacy by collaborat...
With the wide-spread availability of complex relational data, semi-super...
Semi-supervised learning on graphs is a widely applicable problem in net...
Graph neural networks aggregate features in vertex neighborhoods to lear...
Many time series can be effectively modeled with a combination of contin...
We present a graph-based semi-supervised learning (SSL) method for learn...