Quantifying and Enhancing Multi-modal Robustness with Modality Preference

9 February 2024

Papers citing "Quantifying and Enhancing Multi-modal Robustness with Modality Preference"

5 / 5 papers shown

Title
See-Saw Modality Balance: See Gradient, and Sew Impaired Vision-Language Balance to Mitigate Dominant Modality Bias Junehyoung Kwon Mihyeon Kim Eunju Lee Juhwan Choi Youngbin Kim 53 0 0 18 Mar 2025
DynCIM: Dynamic Curriculum for Imbalanced Multimodal Learning Chengxuan Qian Kai Han J. Wang Zhenlong Yuan Rui Qian Chongwen Lyu Jun Chen 48 1 0 09 Mar 2025
On the Adversarial Robustness of Multi-Modal Foundation Models Christian Schlarmann Matthias Hein AAML 107 85 0 21 Aug 2023
Improved deterministic l2 robustness on CIFAR-10 and CIFAR-100 Sahil Singla Surbhi Singla S. Feizi AAML 30 54 0 05 Aug 2021
Globally-Robust Neural Networks Klas Leino Zifan Wang Matt Fredrikson AAML OOD 80 125 0 16 Feb 2021