Dual-memory neural networks for modeling cognitive activities of humans via wearable sensors

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Overcoming Catastrophic Forgetting by Incremental Moment Matching (2017, methodology): “the proposed mean-IMM on the Lifelog dataset [11]. The Lifelog dataset consists of 660,000 instances of egocentric video stream data, collected over 46 days from three participants using Google Glass [26]. Three class categories, location, sub-location, and activity, are labeled on each frame of vid”
Diagnostic classification and symbolic guidance to understand and improve recurrent neural networks (2017, background): “A promising approach to solve this problem is to selectively allow learning on specific weights that are important for certain tasks [see e.g. Kirkpatrick et al., 2017, Lee et al., 2017], but this still requires knowledge on which weights map are specialised for which task.”