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Exploring Optimizations in Multi-Task Recommendation via Manipulating Auxiliary Gradients
Auxiliary Task Learning has proven to be an effective way to transfer knowledge between tasks. This is the case in many personalized recommendation scenarios, where many auxiliary tasks can boost the performance of the ...
Applications of Neural Architecture Search to Deep Reinforcement Learning Methods
This research aims to investigate the impact of various Neural Architectures (NAs) on the performance of machine learning models in the context of the deterministic game of Othello, with the goal of providing insights into ...
Machine Learning for Raga Classification in Indian Classical Music
(2019-02-11)
Indian Classical music consists of “Ragas”. Ragas are combinations of notes in a particular order. There are 72 combinations of these notes that form the 72 parent Ragas. The names of the Ragas are written around the circle ...