What is Continuous Learning? Borrowing from a recently released survey, “Continual learning (CL) is a particular machine learning paradigm where the data distribution and learning objective changes through time, or where all the training data and objective criteria are never available at once”.
We will try to answer a few questions, and reviewing the existing literature is a way towards answering those questions:
- How is it defined in the literature?
- How do current approaches relate to biology and neuroscience?
- What are the most common approaches?
- What are the limitations and open questions?
- What are future research directions?
Meetup link: https://www.meetup.com/BraIns-Bay/events/262647238/
Brains@Bay Meetups focus on how neuroscience can inspire us to create improved artificial intelligence and machine learning algorithms. Join the discussion here.
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Lucas Souza • Numenta