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Abstract: Weight and activation binarization is an effective approach to deep neural network compression and can accelerate the inference by leveraging bitwise operations. Although many binarization ...
Roula Khalaf, Editor of the FT, selects her favourite stories in this weekly newsletter. A paradox of today’s era is that, from gene editing to space research to computing, the world is living through ...
Abstract: This paper introduces the backward mean-field (MF) linear-quadratic-Gaussian (LQG) games (for short, BMFLQG) of weakly coupled stochastic large-population system. In contrast to the ...