Williams Transfer Learning 2025

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Williams Transfer Learning 2025

Has Author	A B Fleishman^[1]
Has Author	A Lillis^[1]
Has Publication Date	June 2025^[1]
Has Article Number	20240280^[1]
Has Volume	380^[1]
Published in	Philosophical Transactions of the Royal Society B^[1]
Has Title	Using tropical reef, bird and unrelated sounds for superior transfer learning in marine bioacoustics^[1]
Rdf:type	Article^[1]

ex:williams-transfer-learning-2025

Williams Transfer Learning 2025 has 21 facts recorded in Dontopedia across 1 reference, with 1 live disagreement.

21 facts·7 predicates·1 sources·1 in dispute

Mostly:has author(15), has publication date(1), has article number(1)

Has Authorin dispute`hasAuthor`

A B Fleishman^[1]sourceall time · tp:paper:c75b96b4-5c8e-4a8f-bf4c-2af6ba7423d9:claims
A Lillis^[1]sourceall time · tp:paper:c75b96b4-5c8e-4a8f-bf4c-2af6ba7423d9:claims
A N Rice^[1]sourceall time · tp:paper:c75b96b4-5c8e-4a8f-bf4c-2af6ba7423d9:claims
B Van Merrienboer^[1]sourceall time · tp:paper:c75b96b4-5c8e-4a8f-bf4c-2af6ba7423d9:claims
B Williams^[1]sourceall time · tp:paper:c75b96b4-5c8e-4a8f-bf4c-2af6ba7423d9:claims
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J Hamer^[1]sourceall time · tp:paper:c75b96b4-5c8e-4a8f-bf4c-2af6ba7423d9:claims
J Munger^[1]sourceall time · tp:paper:c75b96b4-5c8e-4a8f-bf4c-2af6ba7423d9:claims

Has Publication Date`hasPublicationDate`

June 2025^[1]sourceall time · tp:paper:c75b96b4-5c8e-4a8f-bf4c-2af6ba7423d9:claims

Has Article Number`hasArticleNumber`

20240280^[1]sourceall time · tp:paper:c75b96b4-5c8e-4a8f-bf4c-2af6ba7423d9:claims

Has Volume`hasVolume`

380^[1]sourceall time · tp:paper:c75b96b4-5c8e-4a8f-bf4c-2af6ba7423d9:claims

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Philosophical Transactions of the Royal Society B^[1]sourceall time · tp:paper:c75b96b4-5c8e-4a8f-bf4c-2af6ba7423d9:claims

Has Title`hasTitle`

Using tropical reef, bird and unrelated sounds for superior transfer learning in marine bioacoustics^[1]sourceall time · tp:paper:c75b96b4-5c8e-4a8f-bf4c-2af6ba7423d9:claims

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Article^[1]all time · tp:paper:c75b96b4-5c8e-4a8f-bf4c-2af6ba7423d9:claims

Timeline

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21 undated

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hasPublicationDatetp:paper:c75b96b4-5c8e-4a8f-bf4c-2af6ba7423d9:claims

June 2025

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Using tropical reef, bird and unrelated sounds for superior transfer learning in marine bioacoustics

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380

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References (1)

1 references

[1]chunk-00921 facts
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  nighan, T. B. Brown, B. Chess, R. Child, S. Gray, A. Radford, J. Wu, and D. Amodei. Scaling laws for neural language models. arXiv [cs.LG], Jan. 2020. E. Mercado and S. Handel. Understanding the structure of humpback whale songs (l). The Jo…
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  Marine Science, 11:1394695, 2024. J. A. Allen, E. C. Garland, C. Garrigue, R. A. Dunlop, and M. J. Noad. Song complexity is maintained during inter-population cultural transmission of humpback whale songs. Scientific reports, 12(1): 8999, 2…
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  atasets with thousands of classes can be high performing, even on out-of-domain down- stream tasks. Next, the ‘bittern lesson’ learned when training Perch 2.0 was that bird species classification in particular is a challenging su- pervision…
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  = 8k = 16k = 8 k = 16k = 8 k = 16 GMWM0.8900.9140.7640.8210.9360.9540.868* 0.917*0.8230.855 SurfPerch 0.9320.9470.8590.9030.9810.9840.7960.8990.982* 0.986* Perch 1.0 0.9580.9680.9010.9310.9770.9810.8360.9050.9580.970 Perch 2.0 0.9…
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  V2.348 kHz3.0102420.0MBirds, Frogs AVES-bio16 kHzVariable768 2 94.4MGeneral Audio BirdAVES (large)16 kHzVariable1024 3 315.4MGeneral Audio + Birds 4 Comparison models. As our goal is to provide guidance on which pretrained embedding models …
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  ludes new classes unseen by the models. The classes used in the NOAA PIPAN evaluation set include anthropomorphic noise, unknown whale species, and the following baleen whale species: common minke whale, humpback whale, sei whale, blue whal…
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  ained on log-mel spectrograms using a classification loss. Additionally, the model used a form of self-distillation and a self-supervised loss (in the form of source recording prediction) with the goal of producing strong embeddings that ar…
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  ion as new sounds are discovered while not having large amounts of human labeled data. Despite these challenges, passive acoustic monitoring is a critical tool for marine conservation and ecology (Fleishman et al., 2023), and discoveries ab…
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  Perch 2.0 transfers ‘whale’ to underwater tasks Andrea Burns ∗ Google DeepMind Lauren Harrell ∗ Google Research Bart van Merriënboer Google DeepMind Vincent Dumoulin Google DeepMind Jenny Hamer Google DeepMind Tom Denton Google DeepMind Abs…
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  monitoring. Ecol. Inform., 61(101236):101236, Mar. 2021. 6 J. Kaplan, S. McCandlish, T. Henighan, T. B. Brown, B. Chess, R. Child, S. Gray, A. Radford, J. Wu, and D. Amodei. Scaling laws for neural language models. arXiv [cs.LG], Jan. 2020…
- full textchunk-004
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  e datasets with thousands of classes can be high performing, even on out-of-domain down- stream tasks. Next, the ‘bittern lesson’ learned when training Perch 2.0 was that bird species classification in particular is a challenging su- pervis…
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  ce on which pretrained embedding models should be used for agile modeling and transfer learning (with existing tools), we limit our comparisons to models supported in the Perch Hoplite Github repository 5 . We compare the performance of the…
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  l of producing strong embeddings that are linearly separable for a wide range of bioacoustics tasks. Embeddings from the Perch model have shown successful generalization to tasks other than species classification (e.g., individual identific…
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  Perch 2.0 transfers ‘whale’ to underwater tasks Andrea Burns ∗ Google DeepMind Lauren Harrell ∗ Google Research Bart van Merriënboer Google DeepMind Vincent Dumoulin Google DeepMind Jenny Hamer Google DeepMind Tom Denton Google DeepMind Abs…
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  application/pdf24 KBtp:paper:c75b96b4-5c8e-4a8f-bf4c-2af6ba7423d9
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  Perch 2.0 transfers ‘whale’ to underwater tasks Andrea Burns ∗ Google DeepMind Lauren Harrell ∗ Google Research Bart van Merriënboer Google DeepMind Vincent Dumoulin Google DeepMind Jenny Hamer Google DeepMind Tom Denton Google DeepMind A…

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