mbs0221/Multitask-Learning
Awesome Multitask Learning Resources
A curated collection of multitask learning research materials spanning foundational papers, scholar homepages, and implementations across methodologies including Bayesian approaches, Gaussian processes, sparse/low-rank methods, and reinforcement learning. Covers specialized toolboxes like MALSAR for structural regularization and implementations in MATLAB, R, and Python, alongside contemporary topics like federated and online multitask learning.
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