Abstract: Knowledge Distillation (KD) is an effective model compression approach to transfer knowledge from a larger network to a smaller one. Existing state-of-the-art methods mostly focus on feature ...
Abstract: We first study the two-user additive noise multiple access channel (MAC) where the noise distribution is arbitrary. For such a MAC, we use spherical codebooks and either joint nearest ...
Department of Agriculture, Food and Environment, University of Catania, Catania, Italy The GWAS analysis was performed employing the Bayesian information and Linkage-disequilibrium Iteratively Nested ...
Stay up to date with everything that is happening in the wonderful world of AM via our LinkedIn community. The world of mechanical and plant engineering is evolving faster than ever, and Additive ...
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