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Intelligent behaviour in the real-world requires the ability to acquire new knowledge from an ongoing sequence of experiences while preserving and reusing past knowledge.
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Overcoming catastrophic forgetting in neural networks
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Human-level control through deep reinforcement learning
V. Mnih, K. Kavukcuoglu, D. S. Silver, A. A. Rusu, J. Veness, M. G. Bellemare, A. Graves, M. Riedmiller, A. K. Fidjeland, G. Ostrovski, S. Petersen, C. Beattie, A. Sadik, I. Antonoglou, H. King, D. Kumaran, D. Wierstra, S. Legg, and D. Hassabis · 2015
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Actor-mimic: Deep multitask and transfer reinforcement learning
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Deep variational information bottleneck
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J. Kirkpatrick, R. Pascanu, N. Rabinowitz, J. Veness, G. Desjardins, A. A. Rusu, K. Milan, J. Quan, T. Ramalho, A. Grabska-Barwinska, D. Hassabis, C. Clopath, D. Kumaran, and R. Hadsell · 2017
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Continual learning in generative adversarial nets
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Continual learning with deep generative replay
H. Shin, J. K. Lee, J. Kim, and J. Kim · 2017
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Opening the black box of deep neural networks via information
R. Shwartz-Ziv and N. Tishby · 2017
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Fashion-mnist: a novel image dataset for benchmarking machine learning algorithms
H. Xiao, K. Rasul, and R. Vollgraf · 2017
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Continual learning through synaptic intelligence
F. Zenke, B. Poole, and S. Ganguli · 2017
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Information dropout: Learning optimal representations through noisy computation
A. Achille and S. Soatto · 2018
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A separation principle for control in the age of deep learning
A. Achille and S. Soatto · 2018
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Impala: Scalable distributed deep-rl with importance weighted actor-learner architectures
L. Espeholt, H. Soyer, R. Munos, K. Simonyan, V. Mnih, T. Ward, Y. Doron, V. Firoiu, T. Harley, I. Dunning, S. Legg, and K. Kavukcuoglu · 2018
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Variational inference of disentangled latent concepts from unlabeled observations
A. Kumar, P. Sattigeri, and A. Balakrishnan · 2018
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Variational continual learning
C. V. Nguyen, Y. Li, T. D. Bui, and R. E. Turner · 2018
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