text:   Reordering",3,"['Large scale training of EEG classifiers requires exploiting many, small datasets. Problem: they are collected with different headsets (# and place of electrodes). We propose CHARM, a module that remaps arbitrary EEG inputs to a canonical placement 1/3\n<LINK> <LINK>', 'CHARM is trainable and compatible with archs (e.g. CNNs) that expect consistent channels (same number, same order). Across different noising scenarios we show its robustness. Moreover, we successfully perform transfer learning between datasets collected w/ different headsets! 2/3 https://t.co/iJPQAnBOXe', 'Work done by @GoogleAI intern @aaqib_saeed, with @GrangierDavid and Olivier Pietquin. 3/3']",20,10,643