Few-Shot Adaptation to Non-Stationary Environments via Latent Trend Embedding for Robotics
Few-Shot Adaptation to Non-Stationary Environments via Latent Trend Embedding for Robotics explores A framework for few-shot adaptation in robotics that addresses concept shift without modifying model parameters.. Commercial viability score: 7/10 in Robotics.
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