An Analytical Theory of Auxiliary Learning

arXiv:2609.29774 · cs.LG · Submitted 2026-09-24 · Read on arXiv

cs.LG

Submitted: 2026-09-24

Updated: 2026-09-24

Code: https://github.com/FedericoMilanesio/teacher-student

Terminology

• Generalization — 53× in this paper · explained in 13 episodes
• Activation Function — 14× in this paper · explained in 1 episode
• Continual Learning — 4× in this paper · explained in 2 episodes
• Generative AI — 2× in this paper · explained in 2 episodes
• Regularization — 2× in this paper · explained in 3 episodes
• Catastrophic Forgetting — 1× in this paper · explained in 5 episodes
• Generative Model — 1× in this paper · explained in 2 episodes
• Generative Models — 1× in this paper · explained in 3 episodes
• Ordinary Differential Equations (ODEs) — 1× in this paper · explained in 2 episodes
• Stochastic Gradient Descent (SGD) — 1× in this paper · explained in 5 episodes
• Trace — 1× in this paper · explained in 2 episodes

Sources

• Multi-Task Learning with Deep Neural Networks: A Survey
• Three Factors Influencing Minima in SGD
• Auxiliary Tasks in Multi-task Learning
• An Overview of Multi-Task Learning in Deep Neural Networks

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