Perform distribution analysis on heavy-tailed distributed data

[CIKM'23] "Improving Long-Tail Item Recommendation with Graph Augmentation"

The souce code of MICCAI'23 paper: Combat Long-tails in Medical Classification with Relation-aware Consistency and Virtual Features Compensation

[EMNLP 2022 Findings] Towards Realistic Low-resource Relation Extraction: A Benchmark with Empirical Baseline Study

[ICML 2024, Official Code] First work to propose a solution to the long-tail problem in IAA. 首篇针对IAA中的长尾问题提出解决方案的工作

[NeurIPS'24] The official implementation code of LLM-ESR.

Temperature Schedules for self-supervised contrastive methods on long-tail data (ICLR'23)

Longtail transforms RV from the given empirical distribution to the standard normal distribution

simple liquidation bot for tribe3 v1 beta

Code for "On Long-Tailed Phenomena in NMT".

[CVPR 2024] Code for our Paper "DeiT-LT: Distillation Strikes Back for Vision Transformer training on Long-Tailed Datasets"

[DALI 2022] "Long-Tailed Classification of Thorax Diseases on Chest X-Ray: A New Benchmark Study" by Gregory Holste, Song Wang, Ziyu Jiang, Thomas C. Shen, Ronald M. Summers, Yifan Peng, and Zhangyang Wang

Adversarial learning framework to enhance long-tail recommendation in Neural Collaborative Filtering

ResLT: Residual Learning for Long-tailed Recognition (TPAMI 2022)

Implementation of DropLoss for Long-Tail Instance Segmentation in Pytorch

Exploring Classification Equilibrium in Long-Tailed Object Detection, ICCV2021

[ECCV 2022] Multi-Domain Long-Tailed Recognition, Imbalanced Domain Generalization, and Beyond

🛠️ Class-imbalanced Ensemble Learning Toolbox. | 类别不平衡/长尾机器学习库

[NeurIPS 2020] Semi-Supervision (Unlabeled Data) & Self-Supervision Improve Class-Imbalanced / Long-Tailed Learning

Pytorch implementation for "Large-Scale Long-Tailed Recognition in an Open World" (CVPR 2019 ORAL)