ExpandNets: Linear Over-parameterization to Train Compact Convolutional Networks
–Neural Information Processing Systems
We introduce an approach to training a given compact network. To this end, we leverage over-parameterization, which typically improves both neural network optimization and generalization.
Neural Information Processing Systems
Feb-7-2026, 11:38:40 GMT
- Country:
- Europe
- Switzerland > Vaud
- Lausanne (0.04)
- United Kingdom > England
- Cambridgeshire > Cambridge (0.04)
- Switzerland > Vaud
- North America
- Canada (0.04)
- United States
- California > Santa Clara County
- Santa Clara (0.04)
- Massachusetts (0.04)
- California > Santa Clara County
- Europe
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- Research Report (0.68)
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