Greedy Volume Maximization of Gradient Embeddings for Long-Tailed Frame-Level Bioacoustic Active Learning

arXiv:2607.13555 · eess.AS, cs.AI, cs.SD · Submitted 2026-07-15 · Read on arXiv

eess.AS, cs.AI, cs.SD

Submitted: 2026-07-15

Updated: 2026-09-19

Comments: Accepted to DCASE workshop 2026

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Active Learning — 29× in this paper · explained in 6 episodes
• Embeddings — 13× in this paper · explained in 2 episodes
• Acquisition Function — 3× in this paper · explained in 1 episode
• Aggregation — 3× in this paper · explained in 1 episode
• Clustering — 2× in this paper · explained in 2 episodes
• Few-Shot Learning — 2× in this paper · explained in 4 episodes
• Granularity Mismatch — 2× in this paper · explained in 2 episodes
• Adam — 1× in this paper · explained in 2 episodes
• Benchmark — 1× in this paper · explained in 2 episodes
• Core — 1× in this paper · explained in 2 episodes
• Instance Segmentation — 1× in this paper · explained in 3 episodes
• Transformer — 1× in this paper · explained in 2 episodes
• Variational Bayes — 1× in this paper · explained in 2 episodes

Sources

• Online Active Learning For Sound Event Detection
• Batch Active Learning Using Determinantal Point Processes

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