Selective backpropagation for efficient few-shot class-incremental learning
Read the original at arxiv.org→arXiv:2610.04003v1 Announce Type: new Abstract: Few-Shot Class-Incremental Learning (FSCIL) requires models to continuously learn new classes from limited samples while retaining prior knowledge, under strict...
Original headline: "Selective Backpropagation for Efficient Few-Shot Class-Incremental Learning"
Coverage timeline
- Oct 6, 04:00 UTC arXiv cs.LG lead source Selective Backpropagation for Efficient Few-Shot Class-Incremental Learning