Semanlink - Memory networks

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Memory in deep learning

Memory networks

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5 Documents (Long List)

[2004.07202] Entities as Experts: Sparse Memory Access with Entity Supervision

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2020-07-11 About

[1907.05242] Large Memory Layers with Product Keys

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> **a structured memory which can be easily integrated into a neural network.** The memory is very large by design and therefore significantly increases the capacity of the architecture, by up to a billion parameters with a negligible computational overhead. Its design and access pattern is based on **product keys**, which enable fast and exact nearest neighbor search. The ability to increase the number of parameters while keeping the same computational budget lets the overall system strike a better trade-off between prediction accuracy and computation efficiency both at training and test time.

> a key-value memory layer that can increase model capacity for a negligible computational cost. A 12-layer transformer with a memory outperforms a 24-layer transformer, and is 2x faster!

[Implementation](/doc/2019/08/product_key_memory_pkm_minima)

TODO: compare with [[2007.00849] Facts as Experts: Adaptable and Interpretable Neural Memory over Symbolic Knowledge](doc:2020/07/2007_00849_facts_as_experts_)

2019-07-13 About

Jeremy Howard sur Twitter : "Memory networks are the most overhyped and disappointing DL "advance" I've seen yet… "

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2019-03-02 About

Memory networks and why they're a good Idea - BrainCreators

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Memory networks

2018-11-14 About

[1503.08895] End-To-End Memory Networks

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2018-10-23 About

Properties

sl:creationDate : 2018-11-14
sl:creationTime : 2018-11-14T01:29:42Z
rdf:type : sl:Tag
skos:prefLabel : Memory networks