Learning What to Remember: Long-term Episodic Memory Networks for Learning from Streaming Data
Current generation of memory-augmented neural networks has limited scalability as they cannot efficiently process data that are too large to fit in the external memory storage. One example of this is lifelong learning scenario where the model receives unlimited length of data stream as an input which contains vast majority of uninformative entries... (read more)
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Methods used in the Paper
| METHOD | TYPE | |
|---|---|---|
Memory Network
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Working Memory Models |