SubT constrains text embedding drift during few-shot tuning of audio-language models via subspace parameterization, residual anchoring, and gating to improve generalization on unseen classes across 11 benchmarks.
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Constraining to Generalize: Subspace Tuning for Few-shot Generalization of Audio-Language Models
SubT constrains text embedding drift during few-shot tuning of audio-language models via subspace parameterization, residual anchoring, and gating to improve generalization on unseen classes across 11 benchmarks.