HeroLT: Benchmarking Heterogeneous Long-Tailed Learning

1 code implementation • 17 Jul 2023 • Haohui Wang, Weijie Guan, Jianpeng Chen, Zi Wang, Dawei Zhou

To achieve this, we develop the most comprehensive (to the best of our knowledge) long-tailed learning benchmark named HeroLT, which integrates 13 state-of-the-art algorithms and 6 evaluation metrics on 14 real-world benchmark datasets across 4 tasks from 3 domains.

Benchmarking