3260 papers • 126 benchmarks • 313 datasets
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These leaderboards are used to track progress in audio-classification
No benchmarks available.
Use these libraries to find audio-classification models and implementations
No datasets available.
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A Semi-supervised Reward framework (SemiReward) that predicts reward scores to evaluate and filter out high-quality pseudo labels, which is pluggable to mainstream SSL methods in wide task types and scenarios and mitigate confirmation bias is proposed.
Adding a benchmark result helps the community track progress.