Time series foundation models can be few-shot learners

Google Research presents TimesFM-ICF, a time-series foundation model that uses continued pre-training to learn from in-context examples at inference time, enabling few-shot forecasting without supervised fine-tuning. The work was presented at ICML 2025.

From the source
In our new work, "In-Context Fine-Tuning for Time-Series Foundation Models", presented at ICML 2025, we introduce a novel approach that transforms TimesFM into a few-shot learner.
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Announced: 23 Sep 2025 18:00 UTC
Detected: 03 Aug 2026 21:12 UTC (+314d after)

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