AINeutralarXiv – CS AI · 5h ago6/10
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GP-Adapter: Gaussian Process CLIP-Adapter for Few-Shot Out-of-Distribution Detection
Researchers introduce GP-Adapter, a training-free framework combining CLIP with Gaussian Process uncertainty modeling to improve few-shot classification and out-of-distribution detection. The approach maintains CLIP's frozen backbone while adding probabilistic inference capabilities, requiring minimal computational overhead and achieving competitive performance on multiple benchmarks.