Abstract: In this paper, we propose a differentiable version of the short-time Fourier transform (STFT) that allows for gradient-based optimization of the hop length or the frame temporal position by ...
Abstract: Differentiable bilevel Neural Architecture Search (NAS) has emerged as a powerful approach in automated machine learning (AutoML) for efficiently searching for neural network architectures.
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