Papers on Long-Tailed Learning

[rangwani-harsh]

Hi,

Thanks for maintaining the list of papers on long-tailed learning.

Can you please update the list with the following related papers:

1) Improving GANs for Long-Tailed Data through Group Spectral Regularization : pdf / project page / code (github) [ECCV 2022] 2) Escaping Saddle Points for Effective Generalization on Class-Imbalanced Data pdf / code (coming soon) [NeurIPS 2022] 3) Class Balancing GAN with a Classifier in the Loop (CBGAN) pdf / code (github) [UAI 2021]

We would appreciate it if you could please include them in your list.

Thanks Harsh

[wjun0830]

We would also like to introduce 2 new papers regarding imbalanced learning.

1. Minority-Oriented Vicinity Expansion with Attentive Aggregation for Video Long-Tailed Recognition (AAAI 2023) Arxiv GitHub imbalance-MiniKinetics200 dataset

This paper handles video-imbalanced learning and proposes a new video-imbalanced benchmarking dataset.

2. Tailoring Self-Supervision for Supervised Learning (ECCV 2022) Arxiv ECCV GitHub

This paper handles self-supervision to be applied in the supervised domain, including image imbalance learning as the main benchmark.

We'd really appreciate it if you include these papers in your repository.