Browse State-of-the-Art › Self-Supervised Audio Classification
Self-Supervised Audio Classification
8 papers with code · 0 benchmarks · 1 dataset archive 2025-07-28
Benchmarks archive 2025-07-28
No benchmark for this task in the archive.
Libraries
Not in the archive: the export carries no per-task library table, so there is nothing to show at snapshot 2025-07-28.
Datasets archive 2025-07-28
1 dataset whose archive record lists this task, ordered by the archive's paper count.
Subtasks archive 2025-07-28
No subtask under this task in the archive's task tree.
Most implemented papers archive 2025-07-28
8 shown of 8 papers with code (9 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.
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26 Apr 2022 4 repositories listedSelf-supervised learning (SSL) learns knowledge from a large amount of unlabeled data, and then transfers the knowledge to a specific problem with a limited number of labeled data.
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17 Feb 2025 1 repository listedTherefore, we propose a new method: MAsked latenT Prediction And Classification (MATPAC), which is trained with two pretext tasks solved jointly.
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9 Nov 2021 1 repository listedWe present CrissCross, a self-supervised framework for learning audio-visual representations.
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30 Mar 2021 1 repository listed Syntology ran 0 of 8 samples · 8 unverifiedMost successful self-supervised learning methods are trained to align the representations of two independent views from the data.
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29 Jun 2020 1 repository listedIn particular, we explore how best to combine the modalities, such that fine-grained representations of the visual and audio modalities can be maintained, whilst also integrating text into a common embedding.
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27 Apr 2020 1 repository listedOur method uses contrastive learning for cross-modal discrimination of video from audio and vice-versa.
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28 Nov 2019 1 repository listed Syntology ran 0 of 1 samples · 1 unverifiedTo the best of our knowledge, XDC is the first self-supervised learning method that outperforms large-scale fully-supervised pretraining for action recognition on the same architecture.
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28 May 2019 1 repository listed Syntology ran 1 of 4 samples · 3 unverifiedWe propose a novel deep learning method for local self-supervised representation learning that does not require labels nor end-to-end backpropagation but exploits the natural order in data instead.
Syntology lines on 3 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.
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