Learning to Remember: Distilling Memory Retention for Compact Recurrent Neural Networks
arXiv:2610.06942v1 Announce Type: new Abstract: Deep learning models, particularly recurrent neural networks and their variants, such as long short-term memory, have significantly advanced time series analysis. These models capture complex, sequential patterns in time series, enabling real-time ass…
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- 2026-10-07 04:00 · arXiv cs.LG
Learning to Remember: Distilling Memory Retention for Compact Recurrent Neural Networks