2 papers
cs.CV2025
Understanding Flatness in Generative Models: Its Role and Benefits
Taehwan Lee, Kyeongkook Seo, Jaejun Yoo +1
Flat minima, known to enhance generalization and robustness in supervised learning, remain largely unexplored in generative models. In this work, we systematically investigate the…
cs.CV2024
Benchmarking Federated Learning for Semantic Datasets: Federated Scene Graph Generation
SeungBum Ha, Taehwan Lee, Jiyoun Lim +1
Federated learning (FL) enables decentralized training while preserving data privacy, yet existing FL benchmarks address relatively simple classification tasks, where each sample i…