Recurrent Neural Networks
Associative LSTM
Introduced by Danihelka et al. in Associative Long Short-Term MemoryAn Associative LSTM combines an LSTM with ideas from Holographic Reduced Representations (HRRs) to enable key-value storage of data. HRRs use a “binding” operator to implement key-value binding between two vectors (the key and its associated content). They natively implement associative arrays; as a byproduct, they can also easily implement stacks, queues, or lists.
Source: Associative Long Short-Term Memory
Papers
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Usage Over Time
Components
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Holographic Reduced Representation
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LSTM
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Recurrent Neural Networks |
