Jenny Hamer

2 accepted papers

2026

MetaBio: Learning from metadata for bioacoustics foundation models

Mustafa Chasmai, Vincent Dumoulin, Jenny Hamer

ICML 2026poster

Bioacoustic foundation models rely on large-scale citizen science platforms like Xeno-Canto for geographically and ecologically diverse data. Recent work has shown that supervision alone can produce SotA species detection models when trained on this large-scale data---however, there remains unutiliz…

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2020

FedBoost: A Communication-Efficient Algorithm for Federated Learning

Jenny Hamer, Mehryar Mohri, Ananda Theertha Suresh

ICML 2020poster

Communication cost is often a bottleneck in federated learning and other client-based distributed learning scenarios. To overcome this, several gradient compression and model compression algorithms have been proposed. In this work, we propose an alternative approach whereby an ensemble of pre-traine…

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