Linear Reusable Neural Bases Architecture for Network Compression
cs.LG, cs.AI
Submitted: 2026-09-01
Updated: 2026-09-27
Terminology
Sources
- Deep Residual Learning for Image Recognition
- Scaling Laws for Neural Language Models
- Tensorizing Neural Networks
- GLU Variants Improve Transformer
- Sparse Universal Transformer
- Looped Transformers are Better at Learning Learning Algorithms
- Fixup Initialization: Residual Learning Without Normalization
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