Search Results for author:
Found 4 papers, 0 papers with code
Noisy Node Classification by Bi-level Optimization based Multi-teacher Distillation
Furthermore, we design a new bi-level optimization strategy to dynamically adjust the teacher weight matrix based on the training progress of the student model.
Global Convergence of Online Identification for Mixed Linear Regression
Mixed linear regression (MLR) is a powerful model for characterizing nonlinear relationships by utilizing a mixture of linear regression sub-models.
Adaptive Multi-Modality Prompt Learning
Although current prompt learning methods have successfully been designed to effectively reuse the large pre-trained models without fine-tuning their large number of parameters, they still have limitations to be addressed, i. e., without considering the adverse impact of meaningless patches in every image and without simultaneously considering in-sample generalization and out-of-sample generalization.
Toward Automated Virtual Assembly for Prefabricated Construction: Construction Sequencing through Simulated BIM
Prefabricated construction methods require an adequate schedule and understanding by the contractors and constructors to be successful.
