Self-Consistency

本文通过实证分析指出长尾学习中专家多样性与集成精度无正相关，提出VICAL框架，利用Self-Consistency Learning和Deep Ensemble Distillation在解耦的频率域中降低预测方差，从而提升长尾识别性能。