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Amirmasoud Ghiassi

Multi-Label Gold Asymmetric Loss Correction with Single-Label Regulators

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Aug 04, 2021
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End-to-End Learning from Noisy Crowd to Supervised Machine Learning Models

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Nov 13, 2020
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TrustNet: Learning from Trusted Data Against (A)symmetric Label Noise

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Jul 13, 2020
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ExpertNet: Adversarial Learning and Recovery Against Noisy Labels

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Jul 13, 2020
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QActor: On-line Active Learning for Noisy Labeled Stream Data

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Jan 28, 2020
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