arXiv Machine Learning July 30, 2026 By Tianyan Deng, Yanxiong Li, Rui Gao, Jiahao Du

Few-Shot Open-Set Audio Classification via Transductive Prototype Refinement and Class Logit Enhancement

Read the original on arXiv Machine Learning →

arXiv:2607. 26607v1 Announce Type: cross Abstract: Few-shot Open-set audio classification requires classifying query samples from known classes with a few labeled support samples while rejecting query samples from unknown classes.

Summary generated by The Flow from the publisher's feed. The full article lives at arXiv Machine Learning.

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