17 citations · 53 across the 16 of their papers we have counts for
3 papers · 1 filter
Interpretable but Fragile? Robustness of Concept Bottlenecks under Geometric-Semantic Perturbations
Hanwei Zhang, Tianma Hu, Gaojie Jin +2
Concept Bottleneck Models (CBMs) are designed to provide interpretable intermediate representations, yet how such bottlenecks affect robustness remains unclear, with existing studi…
NS-ATTENTION: Newton-Schulz Transformations of Attention Outputs in Vision Transformers
Xiaohe Jiang, Guoqiang Zhang, Tianjin Huang +1
Newton-Schulz (NS) iteration has recently been used in the Muon optimizer to transform update matrices during the training of large language models. Motivated by its spectral effec…
Confusion-Aware Spectral Regularizer for Long-Tailed Recognition
Ziquan Zhu, Gaojie Jin, Hanruo Zhu +11
Long-tailed image classification remains a long-standing challenge, as real-world data typically follow highly imbalanced distributions where a few head classes dominate and many t…