Benchmark multi-model/multi-view models.

The availability of multiple data types provides a rich source of information and holds promise for learning representations that generalize well across multiple modalities. Multimodal data naturally grants additional self-supervision in the form of shared information connecting the different data types. Further, the understanding of different modalities and the interplay between data types are non-trivial research questions and long-standing goals in machine learning research.