Batch Active Learning from the Perspective of Sparse Approximation

no code implementations • 1 Nov 2022 • Maohao Shen, Bowen Jiang, Jacky Yibo Zhang, Oluwasanmi Koyejo

Active learning enables efficient model training by leveraging interactions between machine learning agents and human annotators.

Active Learning

Adversarially Robust Models may not Transfer Better: Sufficient Conditions for Domain Transferability from the View of Regularization

no code implementations • 3 Feb 2022 • Xiaojun Xu, Jacky Yibo Zhang, Evelyn Ma, Danny Son, Oluwasanmi Koyejo, Bo Li

We propose a general theoretical framework proving that factors involving the model function class regularization are sufficient conditions for relative domain transferability.

Domain Generalization