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Exploring Answer Information Methods for Question Generation with Transformers
There has been a lot of work in question generation where different methods to provide target answers as input, have been employed.
SPINE: Soft Piecewise Interpretable Neural Equations
This gives special advantages like (a)strong correspondence of parameters to pieces of the fit function(High Interpretability); (b)ability to fit any combination of continuous functions as pieces of the piecewise function(Ease of Design); (c)ability to add new non-linearities in a targeted region of the domain(Targeted Learning); (d)simplicity of an equation which avoids layering.
Using Deep learning methods for generation of a personalized list of shuffled songs
The shuffle mode, where songs are played in a randomized order that is decided upon for all tracks at once, is widely found and known to exist in music player systems.
