Research13h ago
Neural Networks Mimic Human Learning Via Catapulting
A new research method uses "catapulting" to prevent neural networks from forgetting old data during training. By jumping weights away from previous local minima, researchers maintain high performance across diverse tasks. This approach reduces catastrophic forgetting in sequential learning. Practitioners can now train models on evolving datasets without losing prior knowledge.