works on
active learning 1batch selection 1bioacoustics 1gradient embeddings 1long-tailed distribution 1

From the 1 of 2 linked papers with an AI index.

most citedanimal2vec and MeerKAT: A self-supervised transformer for rare-event raw audio input and a large-scale reference dataset for bioacoustics

5 citations · 5 across the 2 of their papers we have counts for

collaborators

2 papers

eess.AS2026

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

Shiqi Zhang, Marius Faiß, Ariana Strandburg-Peshkin +1

The paper introduces BADGE‑Greedy‑DPP, a deterministic batch selection method that greedily maximizes the volume of gradient embeddings to improve active learning for sparse, long‑…

cs.SD2026★ 5 cited

animal2vec and MeerKAT: A self-supervised transformer for rare-event raw audio input and a large-scale reference dataset for bioacoustics

Julian C. Schäfer-Zimmermann, Vlad Demartsev, Baptiste Averly +9

Bioacoustic research, vital for understanding animal behavior, conservation, and ecology, faces a monumental challenge: analyzing vast datasets where animal vocalizations are rare.…