Encoder-decoder manifold alignment framework to achieve exact idempotency in generative models.
Geoffrey Hinton, Oriol Vinyals, and Jeff Dean
3 Pith papers cite this work. Polarity classification is still indexing.
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Pith papers citing it
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2026 3verdicts
UNVERDICTED 3representative citing papers
RIVET enforces an idempotency objective during training of voice attribute editing models to improve robustness to noisy labels, outperforming standard training on controlled noise and the GLOBE dataset.
Deep learning models extract content-agnostic voice biomarkers for depression and anxiety from a ~65k-utterance proprietary dataset, achieving 71% sensitivity and specificity when combined with lexical features.
citing papers explorer
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Encoder-Decoder Manifold Alignment for Idempotent Generation
Encoder-decoder manifold alignment framework to achieve exact idempotency in generative models.
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Voice Biomarkers for Depression and Anxiety
Deep learning models extract content-agnostic voice biomarkers for depression and anxiety from a ~65k-utterance proprietary dataset, achieving 71% sensitivity and specificity when combined with lexical features.