Breaking Long-Tailed Learning Bottlenecks: A Controllable Paradigm with Hypernetwork-Generated Diverse Experts
–Neural Information Processing Systems
We generate a set of diverse expert models via hypernetworks to cover all possible distribution scenarios, and optimize the model ensemble to adapt to any test distribution. Crucially, in any distribution scenario, we can flexibly output a dedicated model solution that matches the user's preference.
Neural Information Processing Systems
Oct-9-2025, 18:36:13 GMT
- Country:
- Asia > China
- Anhui Province > Hefei (0.04)
- Gansu Province > Lanzhou (0.04)
- Heilongjiang Province > Harbin (0.04)
- Hong Kong (0.04)
- Jiangsu Province (0.04)
- Europe > Netherlands
- North Holland > Amsterdam (0.04)
- Asia > China
- Genre:
- Research Report > Experimental Study (0.93)
- Industry:
- Health & Medicine (0.46)
- Technology:
- Information Technology
- Artificial Intelligence
- Machine Learning
- Neural Networks (1.00)
- Performance Analysis > Accuracy (0.46)
- Representation & Reasoning > Optimization (0.68)
- Vision (1.00)
- Machine Learning
- Data Science (0.93)
- Artificial Intelligence
- Information Technology