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Stomach-ache / awesome-long-tail-learning

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Hi, New Long Tail Papers [ICML2024, NeurIPS2023] #9

Closed wang22ti closed 5 months ago

wang22ti commented 5 months ago

Hi,

Thank you for maintaining the comprehensive list of papers on long-tailed learning.

We would like to introduce two recent papers to be considered for inclusion:

  1. Harnessing Hierarchical Label Distribution Variations in Test Agnostic Long-tail Recognition (ICML 2024) [pdf] [code]

    This paper presents DirMixE, an innovative Mixture-of-Expert framework designed for test-agnostic long-tail recognition. DirMixE utilizes Dirichlet meta-distributions to capture both local and global variations in label distributions, enhancing the framework's generalization and performance stability.

  2. A Unified Generalization Analysis of Re-Weighting and Logit-Adjustment for Imbalanced Learning (NeurIPS 2023) [pdf] [code]

    This paper introduces a novel data-dependent contraction technique to provide a detailed generalization bound for imbalanced learning. It offers a unified explanation for re-weighting and logit-adjustment methods and proposes a principled learning algorithm validated by empirical results on benchmark datasets.

We would greatly appreciate it if you could include these papers in your list.

Thank you very much!

Stomach-ache commented 5 months ago

Thanks for your contribution! The papers you provided have been successfully added to the list.

wang22ti commented 5 months ago

Thanks again for maintaining this list of papers on long-tailed learning!