It's marginally more efficient: While the difference is negligible, the double-unary operator can be more efficient in ...
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Abstract: Dispersion entropy (DE) and its multiscale version multiscale DE (MDE) are effective measures of time series complexity. DE, however, ignores skewness information, which can lead to ...
Abstract: RIFE is a breakthrough in real-time video frame interpolation, introducing the IFNet neural network to estimate intermediate flows directly and efficiently. By avoiding the complexities of ...
This repository contains a PyTorch implementation of the paper "Selective Amnesia: A Continual Learning Approach to Forgetting in Deep Generative Models" presented at NeurIPS 2023. The code is ...