Batch Normalization Provably Avoids Rank Collapse for Randomly Initialised Deep Networks
–Neural Information Processing Systems
Given the rich literature on random matrices, it is not surprising to find that the rank of the intermediate representations in unnormalized networks collapses quickly with depth.
Neural Information Processing Systems
Oct-9-2025, 15:32:29 GMT
- Country:
- Europe
- Switzerland > Zürich
- Zürich (0.05)
- United Kingdom > England
- Oxfordshire > Oxford (0.04)
- Switzerland > Zürich
- North America > Canada (0.04)
- Europe
- Genre:
- Research Report > New Finding (0.46)
- Technology: