Continual Deep Learning by Functional Regularisation of Memorable Past
–Neural Information Processing Systems
The ability to quickly adapt to changing environments is an important quality of intelligent systems. For such quick adaptation, it is important to be able to identify, memorise, and recall useful past experiences when acquiring new ones.
Neural Information Processing Systems
Oct-2-2025, 14:18:28 GMT
- Country:
- Asia
- Japan > Honshū
- Kantō > Tokyo Metropolis Prefecture > Tokyo (0.14)
- Middle East > Jordan (0.04)
- Japan > Honshū
- Europe
- Germany > Baden-Württemberg
- Tübingen Region > Tübingen (0.04)
- Switzerland > Vaud
- Lausanne (0.04)
- United Kingdom > England
- Cambridgeshire > Cambridge (0.28)
- Germany > Baden-Württemberg
- North America
- Canada (0.04)
- United States > Massachusetts
- Middlesex County > Cambridge (0.04)
- Oceania > Australia
- New South Wales > Sydney (0.04)
- Asia
- Industry:
- Education (0.46)
- Health & Medicine (0.46)
- Technology: