subeeshvasu/Awesome-Learning-with-Label-Noise resource

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2717 stars · 354 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

A curated awesome-list of papers, code, and surveys on learning with noisy labels in deep neural networks. It aggregates research resources on training models with unreliable or incorrect training labels.

Use cases

• find papers on learning with noisy labels
• research robust training with label noise
• find code implementations for noisy label methods
• survey the field of learning with unreliable labels
• get started with label noise research
• find surveys on noisy data in deep learning

When to choose

• you need a comprehensive bibliography of label-noise research
• you want links to papers with accompanying code
• you are surveying robust learning under noisy annotations

When to avoid

• you need a runnable library or tool for label noise
• you want production code rather than research references
• you need non-deep-learning noise handling methods

Facets

learning-resource · maturity active

machine-learning deep-learning machine-learning deep-learning tutorials awesome-lists cross-platform awesome-list noisy-labels label-noise robust-learning papers curated-resources

Member repositories

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markdown · JSON · MCP: product_card(name="subeeshvasu/Awesome-Learning-with-Label-Noise")