Repository to track the progress in Meta-Learning (MtL), including the datasets and the current state-of-the-art for the most common MtL problems.

Abstract: Transfer learning refers to the process of transferring the learning from one task to another related task. Transfer learning is especially beneficial in situations where we have limited ...

Mike Maignan, Gabriel Jesus, Jack Grealish and Dayot Upamecano also feature in the latest headlines. Dayot Upamecano is also on Barcelona’s shortlist of centre backs, with sporting director Deco ...

Professorship of Multiscale Modeling of Fluid Materials, Department of Engineering Physics and Computation, TUM School of Engineering and Design, Technical University of Munich, Garching 85748, ...

Perceptual learning of complex stimulus (such as faces or houses) are shown to be specific to the stimulus, indicating the plasticity of the human high-level visual cortex. However, limited ...

Machine learning is one of the most in-demand tech skills of our time—and online learning platforms like Udemy make it easier than ever to get started. Whether you’re a beginner aiming to break into ...

Mingai Li, received her B.Sc. degree and M.Sc. degree from Daqing Petroleum Institute, Heilongjiang, China, in 1987 and 1990 respectively, and Ph.D. degree from Beijing University of Technology, ...

Abstract: This study evaluates the use of transfer learning techniques to differentiate normal and pathological swallowing sounds. Audio data were obtained by recording swallow sounds from healthy ...