The Information Bottleneck (IB) framework provides a principled approach to learning compact yet predictive representations within neural networks. At its core, the method seeks to compress an input ...

Multitask learning in deep neural networks is an approach in which a single model is trained to perform multiple related tasks concurrently, exploiting commonalities and differences across tasks to ...