2 papers
cs.CV2023
Bayesian Optimization Meets Self-Distillation
HyunJae Lee, Heon Song, Hyeonsoo Lee +3
Bayesian optimization (BO) has contributed greatly to improving model performance by suggesting promising hyperparameter configurations iteratively based on observations from multi…
cs.LG2023
Active Learning Guided by Efficient Surrogate Learners
Yunpyo An, Suyeong Park, Kwang In Kim
Re-training a deep learning model each time a single data point receives a new label is impractical due to the inherent complexity of the training process. Consequently, existing a…