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Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval
Brain-inspired hyperdimensional computing (HDC) has been introduced as an alternative computing paradigm to achieve efficient and robust learning. Language tasks, generally solved using machine learning methods, are widely deployed on low-power embedded devices. However, existing HDC solutions suffer from major challenges that impede the deployment of low-power embedded devices: the storage and computation overhead of HDC models grows dramatically with (i) the number of dimensions and (ii) thedoi:10.1145/3477495.3531761 fatcat:fvpa2jlwyrhezkrelneeudnbta