Latent Replay for Real-Time Continual Learning
Lorenzo Pellegrini,Gabriele Graffieti,Vincenzo Lomonaco,Davide Maltoni,Lorenzo Pellegrini,Gabriele Graffieti,Vincenzo Lomonaco,Davide Maltoni
Training deep neural networks at the edge on light computational devices, embedded systems and robotic platforms is nowadays very challenging. Continual learning techniques, where complex models are incrementally trained on small batches of new data, can make the learning problem tractable even for CPU-only embedded devices enabling remarkable levels of adaptiveness and autonomy. However, a number...
