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Wang Xinrui

2 accepted papers

2024

Forgetting, Ignorance or Myopia: Revisiting Key Challenges in Online Continual Learning

NeurIPS 2024poster

Online continual learning (OCL) requires the models to learn from constant, endless streams of data. While significant efforts have been made in this field, most were focused on mitigating the \textit{catastrophic forgetting} issue to achieve better classification ability, at the cost of a much heav…

2023

Beyond Myopia: Learning from Positive and Unlabeled Data through Holistic Predictive Trends

NeurIPS 2023spotlight

Learning binary classifiers from positive and unlabeled data (PUL) is vital in many real-world applications, especially when verifying negative examples is difficult. Despite the impressive empirical performance of recent PUL methods, challenges like accumulated errors and increased estimation bias…