Application

Asymmetric Synthetic Data Update for Domain Incremental Dataset Distillation

Minyoung Oh, Sim

ICLR 2026 · first public 2026-01-01

paper ↗code ↗catalogued✓ abstract read

In one paragraph

Introduces Domain Incremental Dataset Distillation, where domains arrive over time and must be continually distilled into a single synthetic set rather than distilled once from a fixed dataset; naively overwriting the synthetic set with each new domain causes catastrophic forgetting. Proposes an Asymmetric Synthetic Data Update strategy that adjusts per-sample update rates to balance stability against plasticity.

Where it sits

Setting: Image classification

BibTeX (generated; prefer the venue's official entry)

@article{oh2026asymmetric,
  title   = {Asymmetric Synthetic Data Update for Domain Incremental Dataset Distillation},
  author  = {Minyoung Oh and Sim},
  journal = {ICLR 2026},
  year    = {2026}
}