End-To-End Memory Networks
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Summary
A neural network with a recurrent attention model over a possibly large external memory that is trained end-to-end, and hence requires significantly less supervision during training, making it more generally applicable in realistic settings.
- Type
- article
- Published
- 2015-03-31
- Cited by
- 2,754
- References
- 25
- Access
- Open access
- OpenAlex
- https://openalex.org/W1793121960
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:1399322
Keywords
Treebank, Computer science, End-to-end principle, Flexibility (engineering), Key (lock)
References
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- A Clockwork RNN
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- Pattern recognition by means of automatic analogue apparatus
- Pattern Recognition by Means of Automatic Analogue Apparatus
- LSTM Neural Networks for Language Modeling
- DRAW: A Recurrent Neural Network For Image Generation
- Towards AI-Complete Question Answering: A Set of Prerequisite Toy Tasks
- A Neural Probabilistic Language Model
- Memory Networks
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