The very recent work (Zadeh et al., 2018a) also approaches multi-view learning with recourse to a system of recurrent encoders and attention mediated by global memory fusion.
fusion takes place at the encoder cell level, requires hard alignment, and is performed online in one sweep so it cannot be informed by upstream context.