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Chengwei Zhu

2 accepted papers

2024

Enhancing Cross-Modal Fine-Tuning with Gradually Intermediate Modality Generation

ICML 2024poster

Large-scale pretrained models have proven immensely valuable in handling data-intensive modalities like text and image. However, fine-tuning these models for certain specialized modalities, such as protein sequence and cosmic ray, poses challenges due to the significant modality discrepancy and scar…

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2024

Weight Diffusion for Future: Learn to Generalize in Non-Stationary Environments

NeurIPS 2024poster

Enabling deep models to generalize in non-stationary environments is vital for real-world machine learning, as data distributions are often found to continually change. Recently, evolving domain generalization (EDG) has emerged to tackle the domain generalization in a time-varying system, where the…

Cited by 0Source ↗PDF ↗Scholar ↗