Search papers, labs, and topics across Lattice.
Affiliation:
2
0
3
In low-budget Federated Active Learning, homogeneous data demands more coordination than heterogeneous data, flipping the conventional wisdom on its head.
Self-supervised embeddings, often ignored in continual learning replay buffers, unlock surprisingly large gains in catastrophic forgetting, especially when memory is tight.
