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Continual Unsupervised Representation Learning

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Nov 22 2019 DeepMind

How can we learn a sequence of tasks without forgetting, without class labels and with unknown or ambiguous task boundaries? Continual Unsupervised Representation Learning: Paper: https://arxiv.org/abs/1910.14481 Code: https://github.com/deepmind/deepmind-research/tree/master/curl https://t.co/3WSzWmILlB
4 replies, 1203 likes


Nov 22 2019 DeepMind

How can we learn a sequence of tasks without forgetting, without class labels and with unknown or ambiguous task boundaries? Continual Unsupervised Representation Learning Paper: https://arxiv.org/abs/1910.14481 Code: https://github.com/deepmind/deepmind-research/tree/master/curl https://t.co/uo56hi2Gki
1 replies, 71 likes


Nov 22 2019 Dushyant Rao

Excited to share our latest work! To appear at NeurIPS 2019 in a couple of weeks
0 replies, 30 likes


Nov 04 2019 arXiv in review

#NeurIPS2019 Continual Unsupervised Representation Learning. (arXiv:1910.14481v1 [cs\.LG]) http://arxiv.org/abs/1910.14481
0 replies, 2 likes


Nov 28 2019 Markus Wulfmeier

Continual learning without task boundaries via dynamic expansion, generative replay & more. Great work by @drao64 et al.
0 replies, 2 likes


Nov 01 2019 Lantern Institute

Continual Unsupervised Representation Learning #ArtificialIntelligence #Continual #ai via http://twinybots.ch https://arxiv.org/abs/1910.14481
0 replies, 1 likes


Nov 23 2019 Sébastien Loustau

🔥✍
0 replies, 1 likes


Nov 01 2019 AI Papers

Continual Unsupervised Representation Learning. http://arxiv.org/abs/1910.14481
0 replies, 1 likes


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