2025
ModHiFi: Identifying High Fidelity predictive components for Model Modification
NeurIPS 2025spotlight
Modifying well-trained models for purposes such as pruning or unlearning, without access to training data or the original loss function, is a challenging problem. While techniques exist for such modification, they often require training data, are computationally expensive, or are architecture-specif…