bhanML

Bo Han's repositories

NeurIPS'18: Co-teaching: Robust Training of Deep Neural Networks with Extremely Noisy Labels

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An update-to-date list for papers related with label-noise representation learning is here.

NeurIPS'18: Masking: A New Perspective of Noisy Supervision

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ICML'19: How does Disagreement Help Generalization against Label Corruption?

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ICML'20: SIGUA: Forgetting May Make Learning with Noisy Labels More Robust

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IJCAI'19: Towards Robust ResNet: A Small Step but a Giant Leap

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ICML'19: Efficient Nonconvex Regularized Tensor Completion with Structure-aware Proximal Iterations

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ICML'20: Attacks Which Do Not Kill Training Make Adversarial Learning Stronger

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Related papers for robust machine learning

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NeurIPS'19: Are Anchor Points Really Indispensable in Label-Noise Learning?

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ICML'20: Variational Imitation Learning with Diverse-quality Demonstrations

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