Learning to Remember: Distilling Memory Retention for Compact Recurrent Neural Networks
cs.LG
Submitted: 2026-10-03
Updated: 2026-10-03
Sources
- Distilling the Knowledge in a Neural Network
- FitNets: Hints for Thin Deep Nets
- Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation
- Simple Recurrent Units for Highly Parallelizable Recurrence
- Visualizing and Understanding Recurrent Networks
- Paying More Attention to Attention: Improving the Performance of Convolutional Neural Networks via Attention Transfer
- Like What You Like: Knowledge Distill via Neuron Selectivity Transfer
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