GATED FAST WEIGHTS FOR ASSOCIATIVE RETRIEVAL
暂无分享,去创建一个
[1] Colin Giles,et al. Learning Context-free Grammars: Capabilities and Limitations of a Recurrent Neural Network with an External Stack Memory (cid:3) , 1992 .
[2] Timothy Dozat,et al. Incorporating Nesterov Momentum into Adam , 2016 .
[3] Christoph von der Malsburg,et al. The Correlation Theory of Brain Function , 1994 .
[4] Jürgen Schmidhuber,et al. A ‘Self-Referential’ Weight Matrix , 1993 .
[5] Geoffrey E. Hinton,et al. Using Fast Weights to Attend to the Recent Past , 2016, NIPS.
[6] Jürgen Schmidhuber,et al. Deep learning in neural networks: An overview , 2014, Neural Networks.
[7] Wojciech Zaremba,et al. Learning to Execute , 2014, ArXiv.
[8] Jerome A. Feldman,et al. Dynamic connections in neural networks , 1990, Biological Cybernetics.
[9] Alex Graves,et al. Associative Long Short-Term Memory , 2016, ICML.
[10] J. Schmidhuber. Reducing the Ratio Between Learning Complexity and Number of Time Varying Variables in Fully Recurrent Nets , 1993 .
[11] Jürgen Schmidhuber,et al. Learning to Control Fast-Weight Memories: An Alternative to Dynamic Recurrent Networks , 1992, Neural Computation.
[12] Jürgen Schmidhuber,et al. Learning to forget: continual prediction with LSTM , 1999 .
[13] Jürgen Schmidhuber,et al. Long Short-Term Memory , 1997, Neural Computation.
[14] George Kurian,et al. Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation , 2016, ArXiv.
[15] Michael C. Mozer,et al. A Connectionist Symbol Manipulator that Discovers the Structure of Context-Free Languages , 1992, NIPS.
[16] Geoffrey E. Hinton. Using fast weights to deblur old memories , 1987 .