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Learning to Continually Learn

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Jeff Clune: Learning to Continuously Learn. ANML meta-learns to reduce catastrophic forgetting, and can learn at least 600 tasks (Omniglot classes) sequentially and performs well on most afterwards. arXiv https://arxiv.org/abs/2002.09571 NeurIPS talk https://slideslive.com/38924020/how-alternatives-to-conventional-neural-networks-loosely-inspired-by-biology Led by Shawn Beaulieu 1/2 https://t.co/8gNm8jCOLE

6 replies, 336 likes


Jeff Clune: Here is a new talk entirely on ANML (a Neuromodulated Meta-Learning Algorithm) @reworkAI ANML meta-learns to reduce catastrophic forgetting, and can learn at least 600 tasks sequentially! http://videos.re-work.co/videos/1861-anml-learning-to-continually-learn paper: Learning to Continually Learn (https://arxiv.org/abs/2002.09571) #AI https://t.co/kea4jA412i

6 replies, 157 likes


roadrunner01: Learning to Continually Learn pdf: https://arxiv.org/pdf/2002.09571.pdf abs: https://arxiv.org/abs/2002.09571 https://t.co/BD6dod4szJ

0 replies, 45 likes


Vermont Complex Systems Center @ UVM: "Learning to Continually Learn” New study led by PhD student @_SalvorHardin and faculty member Nick Cheney w/@jeffclune https://arxiv.org/abs/2002.09571 https://t.co/DPky4xnKJC

0 replies, 23 likes


arxiv: Learning to Continually Learn. http://arxiv.org/abs/2002.09571 https://t.co/D5BVhTbAPm

0 replies, 3 likes


David Ticoll: Lifelong #machinelearning? "We advocate a solution to catastrophic forgetting, allowing AI to learn to continually learn. Inspired by processes in the brain it enables context-dependent selective activation within a deep neural network." ⁦@jeffclune⁩ https://arxiv.org/abs/2002.09571

0 replies, 2 likes


Brundage Bot: Learning to Continually Learn. Shawn Beaulieu, Lapo Frati, Thomas Miconi, Joel Lehman, Kenneth O. Stanley, Jeff Clune, and Nick Cheney http://arxiv.org/abs/2002.09571

1 replies, 1 likes


AI Papers: Learning to Continually Learn. http://arxiv.org/abs/2002.09571

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Found on Feb 25 2020 at https://arxiv.org/pdf/2002.09571.pdf

PDF content of a computer science paper: Learning to Continually Learn