Continual learning

• [PDF File]Continual Lifelong Learning with Neural Networks: A Review

  https://info.5y1.org/continual-learning_1_bf809c.html

  Continual Lifelong Learning with Neural Networks: A Review German I. Parisi1, Ronald Kemker 2, Jose L. Part3, Christopher Kanan , Stefan Wermter1 1Knowledge Technology, Department of Informatics, Universitat Hamburg, Germany¨ 2Chester F. Carlson Center for Imaging Science, Rochester Institute of Technology, NY, USA 3Department of Computer Science, Heriot-Watt University, Edinburgh Centre …

  continual learning institute nashville tn

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• [PDF File]Progress & Compress: A scalable framework for continual ...

  https://info.5y1.org/continual-learning_1_0f8772.html

  tinual learning is known by different names (though with somewhat different foci), such as lifelong learning (Thrun, 1996) and never-ending learning. Slightly different than continual learning, different aspects of transfer learning for reinforcement learning are discussed and compared in Taylor & Stone(2011).

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• [PDF File]Continuous Learning of Context-dependent Processing in ...

  https://info.5y1.org/continual-learning_1_712790.html

  continual learning, i.e., to learn different mappings sequentially, one at a time. Such an ability is crucial to humans as well as neural networks for two reasons: 1) there are too many possible contexts to learn all mappings concurrently, and 2) the useful mappings cannot be pre-determined but must be learned

  continuous learning goals

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• [PDF File]Continual Learning in Practice

  https://info.5y1.org/continual-learning_1_66cd58.html

  Continual Learning in Practice Tom Diethe, Tom Borchert, Eno Thereska, Borja de Balle Pigem, Neil Lawrence {tdiethe,borcht,enother,pigem,lawrennd}@amazon.com Abstract This paper describes a reference architecture for self-maintaining systems that can learn continually, as data arrives. In environments where data evolves, we need

  importance of continual learning

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• [PDF File]Meta-Learning Representations for Continual Learning

  https://info.5y1.org/continual-learning_1_8c0171.html

  Continual learning—also called cumulative learning and lifelong learning—is the problem setting where an agent faces a continual stream of data, and must continually make and learn new predictions. The two main goals of continual learning are (1) to exploit existing knowledge of the world to quickly

  continuous learning at work

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