Dataset Distillation is the task of synthesizing small datasets from lar...
We propose a new dataset distillation algorithm using reparameterization...
Modern deep learning requires large volumes of data, which could contain...
Dataset distillation compresses large datasets into smaller synthetic
co...
Two key challenges facing modern deep learning are mitigating deep netwo...
Continual learning deals with training models on new tasks and datasets ...