Inducing and Exploiting Activation Sparsity for Fast Neural Network Inference

By Mark Kurtz, Justin Kopinsky, Rati Gelashvili, A. Matveev, John Carr, M. Goin, W. Leiserson, S. Moore, B. Nell, Nir Shavit and 1 more. 2020

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1. C. Dovrolis
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3. Ningning Hu

Citations in the corpus

• NISPA: Neuro-Inspired Stability-Plasticity Adaptation for Continual Learning in Sparse Networks (2022, background): “Activations are often used to determine which units are more important for a given task in problems such as CL (Jung et al., 2020a; Golkar et al., 2019), network pruning (Kurtz et al., 2020; Hu et al., 2016; Rhu et al., 2018), and model interpretation (Erhan et al., 2009; Zeiler & Fergus, 2014).”