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20242026
most citedAudioSet-R: A Refined AudioSet with Multi-Stage LLM Label Reannotation

2 citations · 2 across the 4 of their papers we have counts for

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eess.AS2026

From Objectives to Applications: Aligning Architectural Biases in Audio Self-Supervised Learning

Kele Xu, Yulu Fang, Boda Zhou +6

This paper examines audio self-supervised learning (SSL) through the alignment between pretraining objectives, architectural inductive biases, and downstream applications. Rather t…