2 papers
cs.LG2021
Exploring Adversarial Examples for Efficient Active Learning in Machine Learning Classifiers
Honggang Yu, Shihfeng Zeng, Teng Zhang +2
Machine learning researchers have long noticed the phenomenon that the model training process will be more effective and efficient when the training samples are densely sampled aro…
cs.LG2021
Active Learning in Gaussian Process State Space Model
Hon Sum Alec Yu, Dingling Yao, Christoph Zimmer +2
We investigate active learning in Gaussian Process state-space models (GPSSM). Our problem is to actively steer the system through latent states by determining its inputs such that…