Research

국제전문학술지

학회발표

• An Efficient Prompt Learning Method for BlackBox VisionLanguage Models, , 0, 0, - (2024)
• SASSHA Sharpnessaware Adaptive Secondorder Optimization with Stable Hessian Approximation, , 0, 0, - (2024)
• Concept Bottleneck Models under label noise, , 0, 0, - (2024)
• Pruning Neural Networks with VelocityConstrained Optimization , , 0, 0, - (2023)
• The Effects of Overparameterization on SharpnessAware Minimization An Empirical and Theoretical Analysis , , 0, 0, - (2023)
• Semisupervised Concept Bottleneck Models , , 0, 0, - (2023)
• Effects of Overparameterization on SharpnessAware Minimization A Preliminary Investigation, , 0, 0, - (2023)
• Fedfwd Federated Learning without Backpropagation, , 0, 0, - (2023)
• On the Effectiveness of SharpnessAware Minimization with Large Minibatches, , 0, 0, - (2023)
• JAXPruner A Modular Library for Sparsity Research, , 0, 0, - (2023)
• MaskedKD Efficient Distillation of Vision Transformers with Masked Images, , 0, 0, - (2023)
• A Closer Look at the Intervention Procedure of Concept Bottleneck Models , , 0, 0, - (2022)
• Fast Personalized Pruning in Federated Learning, , 0, 0, - (2022)
• Optimal MiniBatch Size for Stochastic Gradient Methods , , 0, 0, - (2021)
• Data Parallelism in Training Sparse Neural Networks , , 0, 0, - (2020)