memory network
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- Europe > United Kingdom > England > Cambridgeshire > Cambridge (0.04)
- Europe > Switzerland > Vaud > Lausanne (0.04)
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H-Mem: HarnessingsynapticplasticitywithHebbian MemoryNetworks
The ability to base current computations on memories from the past is critical for many cognitive tasks such as story understanding.
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- North America > Canada > British Columbia > Metro Vancouver Regional District > Vancouver (0.04)
- Europe > Austria (0.04)
Technology: Information Technology > Artificial Intelligence > Machine Learning > Neural Networks > Deep Learning (0.48)
A Implementation details
The diagram of our proposed Neural Lad framework is illustrated in Fig.1. The pseudo code of the proposed Neural Lad is described in Alg. 1. The training time of Neural Lad for the toy dataset is about 8s per epoch. It is worth noting that we use larger weight decay for PhysioNe sepsis dataset to avoid over-fitting. Visualization of memory network enhanced scores.
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- North America > United States > Illinois (0.04)
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Technology:
- Information Technology > Artificial Intelligence > Representation & Reasoning (1.00)
- Information Technology > Artificial Intelligence > Natural Language (1.00)
- Information Technology > Artificial Intelligence > Cognitive Science (1.00)
- Information Technology > Artificial Intelligence > Machine Learning > Neural Networks > Deep Learning (0.46)
Visual Question Answering with Question Representation Update (QRU)
Neural Information Processing Systems http://nips.cc/
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- Europe > Spain > Catalonia > Barcelona Province > Barcelona (0.04)
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