SIFT (Active Fine-Tuning at Test Time)

Krause-group work (ICLR 2025) selecting the most informative data to fine-tune on at test time, per query — one of the results that seeded the 2025 test-time-training wave, giving a principled active-learning basis for on-the-fly adaptation.