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Found 3 papers, 1 papers with code
How to boost autoencoders?
Autoencoders are a category of neural networks with applications in numerous domains and hence, improvement of their performance is gaining substantial interest from the machine learning community.
Machine learning predictions of COVID-19 second wave end-times in Indian states
Finally, we use the SIR model with the above mentioned optimal conditions to generate a training data set and use it in the supervised learning algorithm to estimate the end-time of the ongoing second wave of the pandemic in different states in India.
Deep Active Localization
Traditional approaches to this use an information-theoretic criterion for action selection and hand-crafted perceptual models.
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