In real-world applications, clustering or classification can usually be improved by fusing information from different views. Therefore, unsupervised representation learning on multi-view data becomes a compelling topic in machine learning. this paper, we propose novel and flexible model termed Collaborative Multi-View Information Bottleneck Networks (CMIB-Nets), which comprehensively explores t...