Deep Compression Autoencoder (DC-AE) is a new family of high-spatial compression autoencoders with a spatial compression ratio of up to 128 while maintaining reconstruction quality. It accelerates all ...

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Abstract: We address the challenges associated with traditional analytical models, such as BSIM, in semiconductor device modeling. These models often face limitations in accurately representing the ...

Abstract: The size of pre-trained models has continuously increased to support growing demands for solving more complex problems. Especially, mixture-of-experts (MoE) model has become the most popular ...