Fast Weight Attention for Continual Learning
This framework separates temporal alignment, plasticity, forgetting, and bounded rehearsal in recurrent sequence models, together with numerically stable positive-decay renormalization, to remain competitive in language modeling and improve length extrapolation on variable-digit addition.
Yi-Fan Zhang, Steve Ta, Jasper Zhang et al.
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