generalization abilities

5 papers

• Approximation and Generalization Abilities of Score-based Neural Network Generative Models for Sub-Gaussian Distributions
• Do Neural Networks Need Gradient Descent to Generalize? A Theoretical Study
• PT-MoE: An Efficient Finetuning Framework for Integrating Mixture-of-Experts into Prompt Tuning
• RrED: Black-box Unsupervised Domain Adaptation via Rectifying-reasoning Errors of Diffusion
• Synergy over Discrepancy: A Partition-Based Approach to Multi-Domain LLM Fine-Tuning