Xiong, Hui

Towards the Causal Complete Cause of Multi-Modal Representation Learning

2024 · arXiv (Cornell University)

Multi-Modal Learning (MML) aims to learn effective representations across modalities for accurate predictions. Existing methods typically focus on modality consistency and specificity to learn effective representations. However, from a causal perspective, they may lead to …

A Comprehensive Survey on Self-Interpretable Neural Networks

2025 · arXiv (Cornell University)

Neural networks have achieved remarkable success across various fields. However, the lack of interpretability limits their practical use, particularly in critical decision-making scenarios. Post-hoc interpretability, which provides explanations for pre-trained models, is often at risk …