The archives of L-SY group meeting

2025春季学期

2025.4.16

• 郑金鹏：
  • [Long-Tail Learning with Foundation Model: Heavy Fine-Tuning Hurts]
  • [Efficient and Long-Tailed Generalization for Pre-trained Vision-Language Model]
  • [Vision-Language Models are Strong Noisy Label Detectors]
  • [slides]

    2025.4.9

• 郑腾鑫陵：Discovering and Mitigating Visual Biases through Keyword Explanation[paper][slides]
• 卢昕怡：Denoising after Entropy-Based Debiasing a Robust Training Method for Dataset Bias with Noisy Labels [paper][slides]

  2025.3.19

• 郑腾鑫陵：AMU-Tuning Effective Logit Bias for CLIP-based Few-shot Learning [paper][slides]
• 卢昕怡：FedES: Federated Early-Stopping for Hindering Memorizing Heterogeneous Label Noise [paper][slides]

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• 2024年秋季学期
• 2024年春季学期
• 写作参考材料