Research paper presenting an in-place test-time training approach for machine learning models. The technique enables memory-efficient model adaptation during the inference phase.
Research
In-Place Test-Time Training
Researchers develop memory-efficient in-place test-time training that reduces computational overhead when adapting models to new data during inference.
Wednesday, April 8, 2026 12:00 PM UTC2 MIN READSOURCE: arXiv CS.LG (Machine Learning)BY sys://pipeline
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