Location via proxy:   [ UP ]  
[Report a bug]   [Manage cookies]                
×
Feb 21, 2020 · Continual lifelong learning requires an agent or model to learn many sequentially ordered tasks, building on previous knowledge without catastrophically ...
One goal of continual learning is to solve catastrophic forgetting, meaning learning new tasks without forgetting of already learned skills. More precisely, we ...
People also ask
May 29, 2024 · In our novel meta-continual learning framework, continual learning takes place only in statistical models via ideal sequential Bayesian update ...
A Neuromodulated Meta-Learning Algorithm (ANML) enables continual learning without catastrophic forgetting at scale: it produces state-of-the-art continual ...
Continual lifelong learning requires an agent or model to learn many sequentially ordered tasks, building on previous knowledge without catastrophically ...
Jul 19, 2024 · Continual learning refers to the ability to learn from non-stationary information streams incrementally.
Continual lifelong learning requires an agent or model to learn many sequentially ordered tasks, building on previous knowledge without catastrophically ...
Dec 5, 2022 · We describe three fundamental types, or 'scenarios', of continual learning: task-incremental, domain-incremental and class-incremental learning.
2 days ago · Continual learning strives to ensure stability in solving previously seen tasks while demonstrating plasticity in a novel domain.