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US 2025/0148293 A1Published application
Multi-source domain adaptation via prompt-based meta-learning
AssigneeNEC Laboratories America, Inc.
InventorsJunxiang Wang, Wei Cheng, Haifeng Chen
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Abstract
Methods and systems include adapting an initial prompt to a target domain corresponding to an input time series to generate an adapted prompt. The adapted prompt and the input time series are combined. The input time series is processed with the adapted prompt using a modular transformer encoder that has a plurality of sub-encoders, with a policy network selecting a subset of the plurality of encoders that are applied to the input time series and the adapted prompt.
Claims20
A computer-implemented method, comprising:
- adapting an initial prompt to a target domain corresponding to an input time series to generate an adapted prompt;
- combining the adapted prompt and the input time series;
- and
- processing the input time series with the adapted prompt using a modular transformer encoder that has a plurality of sub-encoders, with a policy network selecting a subset of the plurality of encoders that are applied to the input time series and the adapted prompt.
1 more element
A system, comprising:
- a hardware processor;
- and
- a memory that stores a computer program which, when executed by the hardware processor, causes the hardware processor to:
- adapt an initial prompt to a target domain corresponding to an input time series to generate an adapted prompt;
- combine the adapted prompt and the input time series;
- and
- process the input time series with the adapted prompt using a modular transformer encoder that has a plurality of sub-encoders, with a policy network selecting a subset of the plurality of encoders that are applied to the input time series and the adapted prompt.
4 more elements
Dependencies are inferred from the claim text.