The era of size inclusivity is seemingly over. Our critic traces the shift and hopes designers might learn from it.

Abstract: Training machine learning models often involves solving high-dimensional stochastic optimization problems, where stochastic gradient-based algorithms are hindered by slow convergence.

Abstract: Deep neural networks have delivered remarkable performance and have been widely used in various visual tasks. However, their huge sizes cause significant inconvenience for transmission and ...

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